The Grainger College of Engineering

Mark Anastasio

Mark Anastasio
Mark Anastasio
  • Donald Biggar Willett Professor in Engineering Head, Department of Bioengineering
  • Donald Biggar Willett Professor in Engineering
  • Head, Department of Bioengineering

For More Information

Education

  • 1995 – 2001 Ph.D. Medical Physics, The University of Chicago

Academic Positions

  • 2019 - Present Affiliate Faculty, Department of Computer Science, University of Illinois Urbana-Champaign
  • 2019 - Present Affiliate Faculty, Beckman Institute, University of Illinois Urbana-Champaign
  • 2019-Present Affiliate Faculty, Carle-Illinois College of Medicine, University of Illinois Urbana-Champaign
  • 2019-Present Affiliate Faculty, Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign
  • 2019 - Present Head and Donald Biggar Willett Professor in Engineering, Department of Bioengineering, University of Illinois Urbana-Champaign

Research Interests

  • Computational imaging science, image reconstruction, machine learning, inverse problems

Research Areas

Research Topics

  • Bioimaging at Multi-Scale
  • Neural Engineering

Selected Articles in Journals

  • R. Deshpande, A. Avachat, F. J. Brooks, and M.A. Anastasio. Investigating the robustness of a deep learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions. Physics in Medicine & Biology (2023), In press.
  • C. Xi, M. E. Kandel, S. He, C. Hu, Y. J. Lee, K. Sullivan, G. Tracey, H.J. Chung, H.J. Kong, M. A. Anastasio, and G. Popescu. Artificial confocal microscopy for deep label-free imaging. Nature Photonics (2023): 1-9.
  • W. Liu, X. Zhang, Y. Wen, M. A. Anastasio, and J. Irudayaraj. A machine learning approach to elucidating PFOS-induced alterations of repressive epigenetic markers with single-cell imaging. Environmental Advances (2023): 100344.
  • Kelkar VA, Gotsis DS, Brooks FJ, KC P, Myers KJ, Zeng R, Anastasio M.A. Assessing the ability of generative adversarial networks to learn canonical medical image statistics. IEEE Transactions on Medical Imaging, In Press, 2023.
  • Chen, W., Zhang, X., Miao, H., Tang, M.J., Anastasio, M.A., Culver, J., Lee, J.M. and Landsness, E.C., 2022. Validation of Deep Learning-based Sleep State Classification. Micropublication Biology, 2022.
  • Fanous, M.J., He, S., Sengupta, S., Tangella, K., Sobh, N., Anastasio M.A. and Popescu, G., 2022. White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS). Scientific Reports, 12(1), p.20043.
  • Y.R. He, S. He, M.E. Kandel, Y.J. Lee, C. Hu, N. Sobh, M.A. Anastasio, G. Popescu: Cell cycle stage classification using phase imaging with computational specificity. ACS Photonics, 2022, In press.
  • J. Kuo, J. Granstedt, U. Villa, M.A. Anastasio: Computing a Projection Operator onto the Null Space of a Linear Imaging Operator: Tutorial. Journal of the Optical Society of America A, 2022, In press.
  • S. Park, F.J. Brooks, U. Villa, R. Su, M.A. Anastasio, A.A. Oraevsky: Normalization of optical fluence distribution for three-dimensional functional optoacoustic tomography of the breast. Journal of Biomedical Optics, 2022, In press.
  • X. Zhang, E.C. Landsness, W. Chen, H. Miao, M. Tang, L.M. Brier, J.P. Culver, J.M. Lee, M.A. Anastasio: Automated sleep state classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning. Journal of Neuroscience Methods. 2022 Jan 15;366:109421
  • C. Hu, S. He, Y.J. Lee, Y. He, E.M. Kong, H. Li, M.A. Anastasio, G. Popescu G: Live-dead assay on unlabeled cells using phase imaging with computational specificity. Nature Communications. 2022 Feb 7;13(1):1-8
  • W. Zhou, S. Bhadra, F.J. Brooks, H. Li, M.A. Anastasio: Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs. Journal of Medical Imaging. 9(1), 015503, 2022.
  • K. Li, W. Zhou, H. Li, M.A. Anastasio: Assessing the impact of deep neural network-based image denoising on binary signal detection tasks. IEEE Transactions on Medical Imaging. 2021 Apr 30;40(9):2295-305.
  • S. Bhadra, V. Kelkar, F.J. Brooks, M.A. Anastasio: On hallucinations in tomographic image reconstruction. IEEE Transactions on Medical Imaging. 2021 May 5;40(11):3249-60.
  • V. Kelkar and M.A. Anastasio: Prior image-constrained reconstruction using style-based generative models. Proceedings of the International Conference on Machine Learning. 2021 Jul 1 (pp. 5367-5377).
  • F. Li, U. Villa, S. Park, M.A. Anastasio: 3-D Stochastic Numerical Breast Phantoms for Enabling Virtual Imaging Trials of Ultrasound Computed Tomography. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 2021 Sep 14;69(1):135-46
  • K. Li, W. Zhou, H. Li, M.A. Anastasio: A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods. IEEE Transactions on Medical Imaging. 2021 Dec 13.
  • X. Zhang, V. Kelkar, J. Granstedt, H. Li, and M.A. Anastasio: Impact of deep learning-based image super-resolution on binary signal detection. Journal of Medical Imaging, 2021 Nov;8(6):065501.
  • B. Shabestri, M.A. Anastasio, B. Fei, and F. Leblond: Special Series Guest Editorial: Artificial Intelligence and Machine Learning in Biomedical Optics. Journal of Biomedical Optics. 2021 May;26(5).
  • A. Pattyn, Z. Mumm, N. Alijabbari, N. Duric, M.A. Anastasio, and M. Mehrmohammadi: Model-based optical and acoustical compensation for photoacoustic tomography of heterogeneous mediums. Photoacoustics. 2021 Sep 1;23:100275.
  • L.M. Brier, X. Zhang, A.R. Bice, S.H. Gaines, E.C. Landsness, J.M. Lee, M.A. Anastasio. and J.P. Culver: A Multivariate Functional Connectivity Approach to Mapping Brain Networks and Imputing Neural Activity in Mice. Cerebral Cortex. 2021 Sep 20.
  • S. Bhadra, V.A. Kelkar, F.J. Brooks, and M.A. Anastasio: On hallucinations in tomographic image reconstruction." IEEE Transactions on Medical Imaging, 2021 May 5;40(11):3249-60.
  • Sidky EY, Phillips JP, Zhou W, Ongie G, Cruz-Bastida J, Reiser IS, Anastasio M.A., Pan X: A signal detection model for quantifying over-regularization in non-linear image reconstruction, Medical Physics, 2021 Oct;48(10):6312-23
  • J. Geng, X. Zhang, S. Prabhu, S.H. Shahoei, E.R. Nelson, K.S. Swanson, M.A. Anastasio, and A.M. Smith: 3D Microscopy and Deep Learning Reveal the Heterogeneity of Crown-Like Structure Microenvironments in Intact Adipose Tissue, Scientific Advances, 2021 Feb 17;7(8):eabe2480.
  • S. He, K.T. Minn, L. Solnica-Krezel, M.A. Anastasio and H. Li: Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images, Medical Image Analysis, 68: 101892, 2021. doi: 10.1016/j.media.2020.101892.
  • V.A. Kelkar, S. Bhadra, and M.A. Anastasio: Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction, IEEE Transactions on Computational Imaging, In press, 2021.
  • K. Tripathy, Z.E. Markow, A.K. Fishell, A. Sherafati, T.M. Burns-Yocum, M.L. Schroeder, A.M. Svoboda, A.T. Eggebrecht, M.A. Anastasio, B.L. Schlaggar, and J.P. Culver: Decoding visual information from high-density diffuse optical tomography neuroimaging data, NeuroImage, 226: 117516, 2021. doi: 10.1016/j.neuroimage.2020.117516.
  • K.T. Minn, Y.C. Fu, S. He, S. Dietmann, S.C. George, M.A. Anastasio, S.A. Morris, L. Solnica-Krezel: High-resolution transcriptional and morphogenetic profiling of cells from micropatterned human ESC gastruloid cultures, eLife, 9: e59445, 2020 doi: 10.7554/eLife.59445
  • W. Zhou, H. Li, M.A. Anastasio: Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods, IEEE Trans. on Medical Imaging, 39(12): 3992-4000, (2020). doi: 10.1109/TMI.2020.3009022.
  • J. Poudel and M.A. Anastasio: Joint reconstruction of initial pressure distribution and spatial distribution of acoustic properties of elastic media with application to transcranial photoacoustic tomography, Inverse Problems, 36(12): 124007, 2020. doi: 10.1088/1361-6420/abc7ce.
  • K.S. Uddin, M. Zhang, M.A. Anastasio, and Q. Zhu: Optimal breast cancer diagnostic strategy using combined ultrasound and diffuse optical tomography, Biomedical Optics Express. 11 (5): 2722-2737, 2020. doi: 10.1364/BOE.389275.
  • J. Poudel, S. Na, LV. Wang, and M.A. Anastasio: Iterative image reconstruction in transcranial photoacoustic tomography based on the elastic wave equation, Physics in Medicine and Biology.65(5): 055009, 2020. doi: 10.1088/1361-6560/ab6b46.
  • Y. Chen, W. Zhou, C. Hagen, A. Olivo, M.A. Anastasio: Comparison of data-acquisition designs for single-shot edge-illumination X-ray phase-contrast tomography, Optics Express, 28(1), 1-19, 2020. doi: 10.1364/OE.28.000001.
  • Y. Chen, C.K. Hagen, A. Olivo, and M.A. Anastasio: A Partial-Dithering Strategy for Edge-Illumination X-ray Phase-Contrast Tomography Enabled by a Joint Reconstruction Method, Phys. Med. Biol, 65(10):105007, 2020. doi: 10.1088/1361-6560/ab66e2.
  • Shrestha B, Stojkova K, Yi R, Anastasio MA, Ye JY, Brey EM. Gold nanorods enable noninvasive longitudinal monitoring of hydrogels in vivo with photoacoustic tomography. Acta Biomaterialia. 2020 Nov 1;117:374-83
  • B. Shrestha, F. DeLuna1, M.A. Anastasio, J. Yong Ye, E.M. Brey: Photoacoustic Imaging in Tissue Engineering and Regenerative Medicine, Tissue Engineering Part B, 26(1):79-102, 2020. doi: 10.1089/ten.TEB.2019.0296.
  • Beard, P., Anastasio, M.A., Oraevsky, A.A. and Wang, L.V.: Special Section Guest Editorial: Celebrating the Exponential Growth of Optoacoustic/Photoacoustic Imaging. Journal of biomedical optics, 24(12), 2019.
  • F.J. Brooks, S.P. Gunsten, S.K. Vasireddi, S.L. Brody, and M.A. Anastasio: Quantification of image texture in X‐ray phase‐contrast‐enhanced projection images of in vivo mouse lungs observed at varied inflation pressures, Physiological Reports, 7(16): e14208, 2019. doi: 10.14814/phy2.14208.
  • S. Dolly, Y. Lou, M.A. Anastasio, and H. Li: Task-Based Image Quality Assessment in Radiation Therapy: Initial Characterization and Demonstration with Computer-Simulation Study, Phys. Med. Biol., 64(14): 145020, 2019. doi: 10.1088/1361-6560/ab2dc5.
  • J. Poudel, Y. Lou, and M.A. Anastasio: A Survey of Computational Frameworks for Solving the Acoustic Inverse Problem in Three-Dimensional Photoacoustic Computed Tomography, Phys. Med. Biol., 64(14), 2019. doi: 10.1088/1361-6560/ab2017.
  • J. Brown, S. Somo, F. Brooks, S. Komarov, W. Zhou, M.A. Anastasio, E. Brey: X-Ray CT in Phase Contrast Enhancement Geometry of Alginate Microbeads, Annals of Biomedical Engineering, 48(3):1016-1024, 2019. doi: 10.1007/s10439-019-02291-4.
  • Y. Lou, S. Park, F. Anis, R. Su, A. Oraevesky, M. A. Anastasio: Analysis of the Use of Unmatched Backward Operators in Iterative Image Reconstruction with Application to Three-Dimensional Optoacoustic Tomography, IEEE Transactions on Computational Imaging, 5(3) 437-49, 2019, doi: 10.1109/TCI.2019.2895217.
  • Y. Chen, Y. Lou, K. Wang, M. A. Kupinski, M. A. Anastasio: Reconstruction-Aware Imaging System Ranking by Use of a Sparsity-Driven Numerical Observer Enabled by Variational Bayesian Inference, IEEE Transactions on Medical Imaging, 38(5): 1251-1262, May 2019. doi: 10.1109/TMI.2018.2880870.
  • S. Alshahrani, Y. Yan, N. Alijabbari, A. Pattyn, I. Avrutsky, E. Malyarenko, J. Poudel, M.A. Anastasio, M. Mehrmohammadi: All-Reflective Ring Illumination System for Photoacoustic Tomography, Journal of Biomedical Optics 24(4): 1-7, 2019. doi: 10.1117/1.JBO.24.4.046004.
  • W. Zhou, H. Li, M.A. Anastasio: Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods, IEEE Trans. on Medical Imaging, April, 38(10): 2456-2468, Oct. 2019, doi: 10.1109/TMI.2019.2911211.
  • J. Wu, C. Lian, S. Ruan, T. Mazur, S. Mutic, M.A. Anastasio, P. Grigsby, P. Vera, H. Li,: Treatment Outcome Prediction for Cancer Patients based on Radiomics and Belief Function Theory, IEEE Trans. on Radiation and Plasma Medical Sciences (RPMS), Special issue on Machine Learning in Radiation based Medical Sciences, 3(2): 216-244, 2019. doi: 10.1109/TRPMS.2018.2872406.
  • S. Dolly, Y. Lou, M.A. Anastasio, and H. Li: Learning-Based Stochastic Object Models for Characterizing Anatomical Variations, Physics in Medicine and Biology, 63 (6), 065004, 2018. doi: 10.1088/1361-6560/aab000.
  • A.H. Lumpkin, A.B. Garson, M.A. Anastasio: First Point-Spread Function and X-ray Phase-Contrast Imaging Results with an 88-mm Diameter Single Crystal, Review of Scientific Instruments. 89, 073704, 2018. doi: 10.1063/1.5027499.
  • H. Guan, C.K. Hagen, A. Olivo, and M.A. Anastasio: Subspace-Based Resolution-Enhancing Image Reconstruction Method for Few-View Differential Phase-Contrast Tomography, Journal of Medical Imaging, 5(2), 023501, 2018. doi: 10.1117/1.JMI.5.2.023501
  • J. Wu, T. Mazur, Su Ruan, C. Lian, N. Daniel, H. Lashmett, L. Ochoa, I. Zoberi, M.A. Anastasio, M. Gach, S. Mutic, M. Thomas, H. Li: Deep Boltzmann Machines-Driven Method for In-Treatment Heart Motion Tracking Using Cine MRI, Medical Image Analysis, 47:68-80, 2018. DOI: 10.1016/j.media.2018.03.015.
  • T.P. Matthews, J. Poudel, L. Lei, L.V. Wang, and M.A. Anastasio: Parameterized joint reconstruction of the initial pressure and sound speed distributions for photoacoustic computed tomography, SIAM Journal on Imaging Sciences, 11(2): 1560–1588, 2018. 10.1137/17M1153649.
  • Y. Chen and M.A. Anastasio: Properties of a Joint Reconstruction Method for Edge-Illumination X-Ray Phase-Contrast Tomography, Sensing and Imaging, 19(7), 2018. doi: 10.1007/s11220-018-0186-y.
  • K.M.S. Uddin, A. Mostafa, M.A. Anastasio, Q. Zhu: Two Step Imaging Reconstruction using Truncated Pseudoinverse as an initial estimate in Ultrasound guided Diffuse Optical Tomography, Biomed. Optics Express, 8(12): 5437-5449, 2017. doi: 10.1364/BOE.8.005437.
  • A. Zamir, C. Hagen, P. Diemoz, M. Endrizzi, F. Vittoria, Y. Chen, M.A. Anastasio, A. Olivo: Recent Advances in Edge Illumination Tomography, Journal of Medical Imaging, 4(4), 040901 (2017). doi: 10.1117/1.JMI.4.4.040901.
  • T.P Matthews and M.A. Anastasio: Joint Reconstruction of the Initial Pressure and Speed of Sound Distributions from Combined Photoacoustic and Ultrasound Tomography Measurements, Inverse Problems, 33(12):124002, 2017. doi: 10.1088/1361-6420/aa9384.
  • K. Mitsuhashi, J. Poudel, T.P. Matthews, A. Garcia-Uribe, L.V. Wang, and M.A. Anastasio: A forward-adjoint operator pair based on the elastic wave equation for use in transcranial photoacoustic computed tomography, SIAM Journal on Imaging Sciences, 10(4): 2022-2048, 2017. doi: 10.1137/16M1107619.
  • Y. Lou, W. Zhou, T.P. Matthews, C.M. Appleton, and M.A. Anastasio: Generation of Anatomically Realistic Numerical Phantoms for Photoacoustic and Ultrasonic Breast Imaging. Journal of Biomedical Optics, 22(4), 041015, 2017. doi: 10.1117/1.JBO.22.4.041015.
  • Y. Chen, H. Guan, C.K. Hagen, A. Olivo, and M.A. Anastasio: Single-Shot Edge Illumination X-ray Phase-Contrast Tomography Enabled by Joint Image Reconstruction. Optics Letters, 42(3): 619-622, 2017. doi: 10.1364/OL.42.000619.
  • J. Poudel, T.P. Matthews, L. Li, M.A. Anastasio and L.V. Wang: Mitigation of Artifacts Due to Isolated Heterogeneities in Photoacoustic Computed Tomography using a Variable Data Truncation-Based Reconstruction Method. Journal of Biomedical Optics, 0001; 22(4):041018, 2017. doi: 10.1117/1.JBO.22.4.041018.
  • T.P. Matthews, K. Wang, C. Li, N. Duric, and M.A. Anastasio: Regularized Dual Averaging Image Reconstruction for Full-Wave Ultrasound Computed Tomography. IEEE Trans. UFFC, 64(5): 811-825, May 2017. doi: 10.1109/TUFFC.2017.2682061.
  • Y Lou, K. Wang, A. A. Oraevsky, M.A. Anastasio: Impact of Nonstationary Optical Illumination on Image Reconstruction in Optoacoustic Tomography. Journal of the Optical Society of America A, Dec 1; 33(12):2333-47, 2016. doi: 10.1364/JOSAA.33.002333.
  • H. Li, S. Dolly, H.C Chen, M.A. Anastasio, DA. Low, H.H. Li, J.M. Michalski, W.L. Thorstad, H. Gay, S. Mutic: A Comparative Study Based on Image Quality and Clinical Task Performance for CT Reconstruction Algorithms in Radiotherapy. Journal of Applied Clinical Medical Physics, Jul 8;17(4): 377-90, 2016. doi: 10.1120/jacmp.v17i4.5763.
  • AA. Appel, V. Ibarra, SL Somo, JC Larson, AB Garson III, H. Guan, JP McQuilling, Z Zhong, M.A. Anastasio, E.C Opara, EM Brey: Imaging of Hydrogel Microsphere Structure and Foreign Body Response Based on Endogenous X-Ray Phase Contrast. Tissue Engineering Part C: Methods, 22(11):1038-48, 2016. doi: 10.1089/ten.TEC.2016.0253.
  • L. Li, J. Xia, G. Li, A Garcia-Uribe, Q. Sheng, M.A. Anastasio, and L.V. Wang: Label-free Photoacoustic Tomography of Whole Mouse Brain Structures Ex Vivo, Journal of Neurophotonics, 3(3): 035001-035001, 2016. doi: 10.1117/1.NPh.3.3.035001.
  • V. Ibarra, A. Appel, E. Opara, M.A. Anastasio and E.M Brey: Evaluation of the Tissue Response to Alginate Encapsulated Islets in an Omentum Pouch Mode, Journal of Biomedical Materials Research: Part A, 104, 2016. DOI: 10.1002/jbm.a.35769
  • S. Dolly, H-C Chen, M.A. Anastasio, S. Mutic, and H. Li: Practical Considerations for Noise Power Spectra Estimation for Clinical CT Scanners, Journal of Applied Clinical Medical Physics, Vol. 17(3): 392-407, 2016. doi: 10.1120/jacmp.v17i3.5841.
  • H. Li, H-C Chen, S. Dolly, B Fischer-Valuck, J Dempsey, S. Mutic, M.A. Anastasio, and H. Li. An Integrated-Model Driven Method for In-treatment Upper Airway Motion Tracking using Cine MRI in Head & Neck Radiation Therapy, Medical Physics, 43(8): 4700-4710, 2016. doi: 10.1118/1.4955118.
  • Q. Xu, A. Sawatzky, T. Jun, D. Yang, and M.A. Anastasio: Accelerated Fast Iterative Shrinkage Thresholding Algorithms for Sparsity-Regularized Cone-Beam CT Image Reconstruction, Medical Physics, 43(4): 1849, 2016. doi: 10.1118/1.4942812.
  • C. Huang, K. Wang, R. Schoonover, L.V. Wang, and M.A. Anastasio: Joint Reconstruction of Absorbed Optical Energy Density and Sound Speed Distributions in Photoacoustic Computed Tomography: A Numerical Investigation, IEEE Transactions on Computational Imaging, 2(2); 136-149, 2016. doi: 10.1109/TCI.2016.2523427.
  • Q. Sheng, K. Wang, T. P. Matthews, J. Xia, L. Zhu, L.V. Wang, and M.A. Anastasio: A Constrained Variable Projection Reconstruction Method for Photoacoustic Computed Tomography without Accurate Knowledge of Transducer Responses, IEEE Transactions on Medical Imaging, 34(12): 2443-2458, 2015. doi: 10.1109/TMI.2015.2437356.
  • A. Appel, J. C. Larson, B. Jiang, Z. Zhong, M.A. Anastasio, and E. M. Brey: X-ray Phase Contrast Allows Three-Dimensional, Quantitative Imaging of Hydrogel Implants. Annals of Biomedical Engineering, 44(3): 773-81, 2015. doi: 10.1007/s10439-015-1482-5.
  • S.A. Ermilov, R. Su, A. Conjusteau, F. Anis, V. Nadvoretskiy, M.A. Anastasio, and A. A. Oraevsky: Three-Dimensional Optoacoustic and Laser-Induced Ultrasound Tomography System for Preclinical Research in Mice Design and Phantom Validation. Ultrasonic Imaging,38(1): 77-95, 2015. doi: 10.1177/0161734615591163.
  • Chen, Hsin-Chen, Jun Tan, Steven Dolly, James Kavanaugh, M.A. Anastasio, Daniel A. Low, H. Harold Li et al.,: Automated Contouring Error Detection based on Supervised Geometric Attribute Distribution Models for Radiation Therapy: A General Strategy, Medical Physics, 42(2): 1048-1059, 2015. doi: 10.1118/1.4906197.
  • H. Guan, Q. Xu, A.B. Garson, and M.A. Anastasio: Boundary-Enhancement in Propagation- Based X-ray Phase-Contrast Tomosynthesis Improves Depth Position Characterization, Physics in Medicine and Biology, 60(8): N151-65, 2015. doi: 10.1088/0031-9155/60/8/N151.
  • K. Wang, T. Matthews, F. Anis, C. Li, N. Duric, and M.A. Anastasio: Waveform Inversion with Source Encoding for Breast Speed-of-Sound Reconstruction in Ultrasound Computed Tomography, IEEE Trans. UFFC, 62(3): 475-93, 2015. doi: 10.1109/TUFFC.2014.006788.
  • G. Li, J. Xia, K. Wang, K. Maslov, M.A. Anastasio, and L.V. Wang: Tripling the Detection View of High-Frequency Linear-Array-Based Photoacoustic Computed Tomography by using Two Planar Acoustic Reflectors, Quantitative Imaging in Medicine and Surgery, 5(1): 57-62, 2015. doi: 10.3978/j.issn.2223-4292.2014.11.09.
  • A. Appel, J. Larson, A. Garson, H. Guan Z. Zhong B. Nguyen, J. Fisher, M.A. Anastasio, E.M. Brey: X-ray Phase-Contrast Imaging of Calcified Tissue and Biomaterial Structure in Bioreactor Engineered Tissues, Biotechnology and Bioengineering, 112(3): 612-620, 2015. doi: 10.1002/bit.25467.
  • H. Li, L. Yu, M.A. Anastasio, H. Chen, J. Tan, H. Gay, J.M. Michalski, D.A. Low and S. Mutic: Automatic CT Simulation Optimization for Radiation Therapy: A General Strategy, Med. Phys. 41(3), 031913, 2014. doi: 10.1118/1.4866377.
  • K. Wang, J. Xia, C. Li, L.V. Wang and M.A. Anastasio: Fast Spatio-Temporal Image Reconstruction Based on Low-Rank Matrix Estimation for Dynamic Photoacoustic Computed Tomography, Journal of Biomedical Optics, 19(5), 056007, 2014. doi: 10.1117/1.JBO.19.5.056007
  • A. Sawatzky, Q. Xu, C. Schirra, and M.A. Anastasio: Proximal ADMM for Multi-Channel PWLS with Application to Decomposed Data in Spectral CT, IEEE Transactions on Medical Imaging, 33(8):1657-1668, 2014. doi: 10.1109/TMI.2014.2321098.
  • K. Wang, R. Schoonover, R. Su, A. Oraevsky, and M.A. Anastasio: Discrete Imaging Models for Three-Dimensional Optoacoustic Tomography using Radially Symmetric Expansion Functions, IEEE Transactions on Medical Imaging, 33(5):1180-1193, 2014. doi: 10.1109/TMI.2014.2308478.
  • Q. Xu, A. Sawatzky, E. Rossel, M.A. Anastasio and C. Schirra: Sparsity-Regularized Image Reconstruction of Decomposed K-Edge Data in Spectral CT, Physics in Medicine and Biology, 59(10), N65, 2014. doi: 10.1088/0031-9155/59/10/N65.
  • J. Xia, W. Chen, K. Maslov, M.A. Anastasio, and L. V. Wang: Retrospective Respiration- Gated Whole-Body Photoacoustic Computed Tomography of Mice, Journal of Biomedical Optics, 19(1), 016003, 2014. doi: 10.1117/1.JBO.19.1.016003.
  • K. Mitsuhashi, K. Wang, and M.A. Anastasio: Investigation of the Far-Field Approximation for Modeling a Transducer’s Spatial Impulse Response in Photoacoustic Computed Tomography, Photoacoustics, 2(1): 21-32, 2014. doi:10.1016/j.pacs.2013.11.001.
  • C. Schirra, B. Brendel, M.A. Anastasio, and E. Roessl: Spectral CT: A Technology Primer for Contrast Agent Development, Contrast Media and Molecular Imaging, 9(1): 62-70, 2014. doi: 10.1002/cmmi.1573.
  • J. Xia, C. Huang, K. Maslov, M.A. Anastasio, and L.V. Wang: Enhancement of photoacoustic tomography by ultrasonic computed tomography based on optical excitation of elements of a full-ring transducer array, Optics Letters, 38(16): 3140-3143, 2013. doi: 10.1364/OL.38.003140.
  • A.B. Garson, E.W. Izaguirre, S.G. Price, and M.A. Anastasio: Characterization of speckle in lung images acquired with a benchtop in-line X-ray Phase-Contrast system, Phys Med Biol., 58(12):4237-53, 2013. doi: 10.1088/0031-9155/58/12/4237.
  • A.A. Appel, M.A. Anastasio, J.C. Larson, and E.M. Brey, Imaging challenges in biomaterials and tissue engineering, Biomaterials, 34(28):6615-30, 2013. doi: 10.1016/j.biomaterials.2013.05.033.
  • C. Huang, K. Wang, L. Nie, L.V. Wang, and M.A. Anastasio: Full-Wave Iterative Image Reconstruction in Photoacoustic Tomography with Acoustically Inhomogeneous Media, IEEE Transactions on Medical Imaging, 32(6), 1097, 2013. doi: 10.1109/TMI.2013.2254496.
  • K. Wang, C. Huang, A. Oraevsky, and M.A. Anastasio: Accelerating Image Reconstruction in Three-Dimensional Optoacoustic/Photoacoustic Tomography on GPUs, Medical Physics, 40(2), 023301, 2013. doi: 10.1118/1.4774361.
  • C.O. Schirra, E. Roess, T. Koehler, B. Brende, A. Thran, D. Pan, M.A. Anastasio, and R. Proksa: Statistical Reconstruction of Material Decomposed Data in Spectral CT, IEEE Transactions on Medical Imaging, 32(7):1249-57, 2013. doi: 10.1109/TMI.2013.2250991.
  • M.A. Anastasio and Paul C. Beard: Special Section Guest Editorial: Photoacoustic Imaging and Sensing, Journal of Biomedical Optics 17(6): 0612011-0612011, 2012. doi: 10.1117/1.JBO.17.6.061201.
  • L. Nie, X. Cai, K. Maslov, A. Garcia-Uribe, M.A. Anastasio, and L.V. Wang: Photoacoustic Tomography Through a Whole Adult Human Skull with a Photon Recycler, Journal of Biomedical Optics, 17(11), 110506, 2012. doi: 10.1117/1.JBO.17.11.110506.
  • A. Tamhane, K. Arfanakis, M.A. Anastasio, X. Guo, M. Vannier, J. Gao: Rapid ROPELLERMRI: A combination of iterative reconstruction and under-sampling, J. Magn. Reson. Imaging, 36(5): 1241-1247, 2012. doi: 10.1002/jmri.23720.
  • K. Wang and M.A. Anastasio: A Simple Fourier Transform-Based Reconstruction Formula for Photoacoustic Computed Tomgraphy with a Circular or Spherical Measurement Geometry, Physics in Medicine and Biology, 57(23): N493, 2012. 10.1088/0031-9155/57/23/N493.
  • A. Appel, C-Y Chou, J. Larson, Z. Zhong, F. Schoen, C. Johnston, E Brey, and M.A. Anastasio: An Initial Evaluation of Analyzer-Based Phase-Contrast X-ray Imaging for Imaging Carotid Plaque Microstructure, British Journal of Radiology, 86(1021): 20120318-20120318, 2013. doi: 10.1259/bjr.20120318.
  • A. Appel, C-Y Chou, H. Greisler, J. Larson, S. Vasireddi, Z. Zhong, M.A. Anastasio, and E.M. Brey: Analyzer-Based Phase-Contrast X-ray Imaging of Carotid Plaque Microstructure, The American Journal of Surgery, 204(5): 631-636, 2012. doi: 10.1016/j.amjsurg.2012.07.021.
  • K. Wang, R. Su, A. Oraevsky, and M.A. Anastasio: Investigation of Iterative Image Reconstruction in Three-Dimensional Optoacoustic Tomography, Physics in Medicine and Biology, 57(17), 5399, 2012. doi: 10.1088/0031-9155/57/17/5399.
  • A.M. Zysk, A.B. Garson III, Q. Xu, E.M. Brey, W.Zhou, J.G. Brankov, M.N. Wernick, J.R. Kuszak, M.A. Anastasio: Non-destructive Volumetric Imaging of Tissue Microstructure with Benchtop X-ray Phase-Contrast Tomography and Critical Point Drying, Biomedical Optics Express, Vol. 3(8): 1924-1932, 2012. doi: 10.1364/BOE.3.001924.
  • M. Rameez Chatni, J. Xia ; R. Sohn, K. Maslov, Z. Guo, Y. Zhang, K. Wang, M.A. Anastasio, J. Arbei, L.V. Wang: Tumor Glucose Metabolism Imaged In-Vivo in Small Animals with Whole-Body Photoacoustic Computed Tomography, Journal of Biomedical Optics, 17(7), 076012, 2012. doi: 10.1117/1.JBO.17.7.076012.
  • Appel, Larson, Somo, Zhong, Spicer, Kasper, Mikos, M.A. Anastasio, and E. Brey: Imaging of poly(-hydroxy-ester) scaffolds with X-ray Phase Contrast MicroCT, Tissue Engineering C, 18(11): 859-865, 2012. doi: 10.1089/ten.tec.2012.0123.
  • J. Xia, K. Maslov, Z. Guo, K. Wang, M.A. Anastasio, and L.V. Wang: Whole-Body Ring- Shaped Confocal Photoacoustic Computed Tomography of Small Animals In-Vivo, Journal of Biomedical Optics, 17(5), 050506, 2012. doi: 10.1117/1.JBO.17.5.050506.
  • C. Huang, L. Nie, R. Schoonover, Z. Guo, C. Schirra, M.A. Anastasio, and L.V. Wang: Aberration Correction for Transcranial Photoacoustic Tomography Employing Adjunct Image Data, Journal of Biomedical Optics, 17(6), 066016, 2012. doi: 10.1117/1.JBO.17.6.066016.
  • J. S. Sandhu, J.I. Weber, J. Tawiaha, V. Kunin, R. Schoonover, and M.A. Anastasio: Transducer field imaging using acoustography, Adv. Acoust. Vib., 275875, 2012. doi: 10.1155/2012/275858.
  • A. Zysk, R. Schoonover, and M.A. Anastasio: A Framework for Computing the Spatial Coherence Effects of Polycapillary X-ray Optics, Optics Express, 20(4): 3975-3982, 2012. doi: 10.1364/OE.20.003975.
  • A. Zysk, J. Brankov, M. Wernick, and M.A. Anastasio: Adaptation of a Clustered Lumpy Background Model for Task-Based Image Quality Assessment in X-ray Phase-Contrast Mammography, Medical Physics, 39(2): 906-911, 2012. doi: 10.1118/1.3676183.
  • C. Huang, L. Nie, R. Schoonover, L.V. Wang, and M.A. Anastasio: Investigation of Photoacoustic Computed Tomography Correcting for Heterogeneity and Attenuation, Journal of Biomedical Optics, 17(6): 0612111-0612115, 2012. doi: 10.1117/1.JBO.17.6.061211.
  • R. Schoonover, L.V. Wang and M.A. Anastasio: A Numerical Investigation of the Effects of Shear Waves in Transcranial Photoacoustic Tomography with a Planar Geometry, Journal of Biomedical Optics, 17(6): 0612151-06121511, 2012. doi: 10.1117/1.JBO.17.6.061215.
  • Q. Xu, E.Y. Sidky, X. Pan, M. Stampanoni, P. Modregger, and M.A. Anastasio: Investigation of Discrete Imaging Models and Iterative Image Reconstruction in Differential X-ray Phase-Contrast Tomography, Optics Express, 20(10): 10724-10749, 2012. doi: 10.1364/OE.20.010724.
  • R. Schoonover and M.A. Anastasio: Compensation of Shear Waves in Photoacoustic Tomography with Layered Acoustic Media, Journal of the Optical Society of America A, Vol. 28(10): 2091-2099, 2011. doi: 10.1364/JOSAA.28.002091.
  • A. Appel, M.A. Anastasio, and E.B. Brey: Potential for Imaging Engineered Tissues with X-ray Phase Contrast, Tissue Engineering Part B: Reviews, 17(5): 321-330, 2011. doi: 10.1089/ten.TEB.2011.0230.
  • M. Roumeliotis, R. Stodilka, M.A. Anastasio, E. Ng, and J. Carson: Singular Value Decomposition Analysis of a Photoacoustic Imaging System and 3D Imaging at 0.7 FPS, Optics Express, 19(14): 13405-13417 (2011). doi:10.1364/OE.19.013405.
  • G. Rodirguez, J. Weber, J.S. Sandhu and M.A. Anastasio: Feasibility Study of Complex Wavefield Retrieval in Off-Axis Acoustic Holography Employing an Acousto-Optic Sensor, Ultrasonics, 51(8), 275875, 2012. doi: 10.1016/j.ultras.2011.05.002.
  • R. Schoonover and M.A. Anastasio: Image Reconstruction in Photoacoustic Tomography Involving Layered Acoustic Media, Journal of the Optical Society of America A 28(6): 1114-1120, 2011. doi: 10.1364/JOSAA.28.001114.
  • M. Testorf, M. Fiddy, A. Dogariu, R. Piestun, C. Matson, and M.A. Anastasio: Signal Recovery and Computational Sensing and Imaging: Introduction to the Feature Issue, Applied Optics, 49(34): 1539-4522, 2010. doi: 10.1364/AO.49.00SRC1.
  • M.A. Anastasio, C-Y. Chou, A. M. Zysk, and J. G. Brankov: Ideal Observer Analysis of Signal Detectability in Phase-Contrast Imaging Employing Linear Shift-Invariant Optical Systems, Journal of the Optical Society of America A, 27(12): 2648-2659, 2010. 10.1364/JOSAA.27.002648.
  • E. M. Brey, A. Appel, Y-C. Chiu, Z. Zhong, and M.A. Anastasio: X-ray Imaging of Poly(ethylene glycol) Hydrogels Without Contrast Agents, Tissue Engineering, 16,(6): 1597-1600, 2010. doi: 10.1089/ten.tec.2010.0150.
  • K.Wang, S.A. Ermilov, H-P. Brecht, R. Su, A. A. Oraevsky, and M.A. Anastasio: An Imaging Model Incorporating Ultrasonic Transducer Properties for Three-Dimensional Optoacoustic Tomography, IEEE Transactions on Medical Imaging, 30(2): 203-214, 2011. doi: 10.1109/TMI.2010.2072514
  • A.M. Zysk, R.W. Schoonover, P.S. Carney and M.A. Anastasio: Transport of Intensity and Spectrum for Partially Coherent Fields, Optics Letters, 35(13): 2239-2241, 2010. doi: 10.1364/OL.35.002239.
  • M. Roumeliotis, R.Z. Stodilka, M.A. Anastasio, G. Chaudhary, H. Al-Aabed, E. Ng, A. Immucci, and J.J.L. Carson: Analysis of a Photoacoustic Imaging System by the Crosstalk Matrix and Singular Value Decomposition, Optics Express, 18(11): 11406-11417, 2010. doi:10.1364/OE.18.011406.
  • A.A. Tamhane, M.A. Anastasio, M. Gui, K. Arfanakis: Iterative Image Reconstruction for PROPELLER-MRI Using the Non-Uniform Fast Fourier Transform. Magn Reson Med, 321): 211-217, 2010. doi: 10.1002/jmri.22218.
  • E.Y. Sidky, M.A. Anastasio, and X. Pan: Image Reconstruction Exploiting Object Sparsity in Boundary-Enhanced Phase-Contrast Tomography, Optics Express, 18(10): 10404-10422, 2010. doi: 10.1364/OE.18.010404.
  • D. Modgil, M.A. Anastasio and P.J. La Riviere: Image Reconstruction in Photoacoustic Tomography with Variable Speed of Sound Using a Higher Order Geometrical Acoustics Approximation, Journal of Biomedical Optics, 15(2), 021308, 2010. doi: 10.1117/1.3333550.
  • C-Y. Chou and M.A. Anastasio: Noise Texture and Signal Detectability in Propagation- Based X-ray Phase-Contrast Tomography, Medical Physics, 37(1): 270-281, 2009. doi: 10.1118/1.3267548.
  • M.A. Anastasio, D. Shi, and X. Pan: Boundary-Enhanced Region-of-Interest Image Reconstruction in Propagation-Based X-ray Phase-Contrast Tomography, Applied Physics Letters, 95(24), 244101 2009. doi: 10.1063/1.3254235.
  • D. Shi and M.A. Anastasio: Exploitation of Symmetries for Image Reconstruction in linearized Variable Density Diffraction Tomography, Journal of the Acoustical Society of America, 126(6): 3095-3105, 2009. doi: 10.1121/1.3238157.
  • D. Shi and M.A. Anastasio: Relationships Between Smooth- and Small-Phase Conditions in X-ray Phase-Contrast Imaging, IEEE Transactions on Medical Imaging, 28(12): 1969-1973, 2009. doi: 10.1109/TMI.2009.2026899.
  • J. Zhang, M.A. Anastasio, P.J. Riviere, and L.V. Wang: Effects of Imaging Model on Image Reconstruction Accuracy in Photoacoustic Tomography, IEEE Transactions on Medical Imaging, 28(11): 1781-1790, 2009. doi: 10.1109/TMI.2009.2024082.
  • Y. Huang and M.A. Anastasio: Image Reconstruction in Lens-Based Intensity Diffraction Tomography, Journal of the Optical Society of America A, 26(6): 1335-1347, 2009. doi: 10.1364/josaa.26.001335.
  • C-Y. Chou and M.A. Anastasio: Influence of Imaging Geometry on Noise Texture in Quantitative in-line X-ray Phase-Contrast Imaging, Optics Express, 17(17): 14466-14480, 2009. doi: 10.1364/OE.17.014466.
  • C. M. Laperle, T. J. Hamilton, P. Wintermeyer, E. Walker, D. Shi, M.A. Anastasio, Z. Derdak, J.R. Wands, G. Diebold, and C. Rose-Petruck: Low Density Contrast Agents for X-ray Phase Contrast Imaging: The Use of Ambient Air for High-Resolution X-ray Angiography of Excised Murine Liver Tissue, Physics in Medicine and Biology, 53(23): 6911-6923, 2008. doi: 10.1088/0031-9155/53/23/017.
  • M.A. Anastasio, Q. Xu, and D. Shi: Multi-Spectral Intensity Diffraction Tomography: Single Material Objects with Variable Densities, Journal of the Optical Society of America A, 26(2): 403-412, 2009. doi: 10.1364/josaa.26.000403.
  • J43. M.A. Anastasio, J. Zhang, D. Modgil, and P.J. LaRiviere: Application of Inverse Source Concepts to Photoacoustic Tomography, Inverse Problems, 23(6): S21-S36, 2007. doi: 10.1088/0266-5611/23/6/S03.
  • C. M. Laperle, X. Li, B. Ahr, P. Wintermeyer, D. Shi, M.A. Anastasio, J. Wands, G.J. Diebold, and C. Rose-Petruck: Propagation-Based Differential Phase Contrast Imaging and Tomography of Murine Tissue with a Laser Plasma X-ray Source, Applied Physics Letters, 91(17): 173901- 174100, 2007. doi: 10.1063/1.2802728.
  • M.A. Anastasio and X. Pan: Region-of-Interest Imaging in Differential Phase-Contrast Tomography, Optics Letters, 32(21): 3167-3169, 2007. doi: 10.1364/ol.32.003167.
  • C-Y Chou, Y. Huang, D. Shi and M.A. Anastasio: Image Reconstruction in Quantitative X-ray Phase-Contrast Imaging Employing Multiple Measurements, Optics Express, 15(16): 10002-10025, 2007. doi: 10.1364/OE.15.010002.
  • D. Shi and M.A. Anastasio: Intensity Diffraction Tomography with a Fixed Detector Plane, Optical Engineering, 46(10), 107003, 2007. doi: 10.1117/1.2799088.
  • C-Y Chou, M.A. Anastasio, J.B. Brankov, M.W. Wernick, E. Brey, D. Connor and Z. Zhong: An Extended DEI Method for Implementing Multiple-Image Radiography, 52(7): 1923- 1945, Physics in Medicine and Biology, 2007. doi: 10.1088/0031-9155/52/7/011.
  • M.A. Anastasio, Y. Zou, E.Y. Sidky, and X. Pan: Local Cone-Beam Tomography Image Reconstruction on Chords, Journal of the Optical Society of America A, 24(6): 1569-1579, 2006. doi: 10.1364/JOSAA.24.001569.
  • Yin Huang and M.A. Anastasio: Statistically Principled use of In-line Measurements in Intensity Diffraction Tomography, Journal of the Optical Society of America A, 24(3): 626-642, 2006. 10.1364/JOSAA.24.000626.
  • P. J. La Riviere, J. Zhang, and M A. Anastasio: Image Reconstruction in Optoacoustic Tomography for Dispersive Acoustic Media, Optics Letters, 31(6): 781-783, 2006. doi: 10.1364/OL.31.000781.
  • D. Shi and M.A. Anastasio: Off-axis Holographic Tomography for Diffracting Scalar Wavefields, Physical Review E, 73 (1 Part 2), 016612, 2006. doi: 10.1103/PhysRevE.73.016612.
  • G. Khelashvili, J.G. Brankov, D. Chapman, M.A. Anastasio, Y. Yang, Z. Zhong, and M. N. Wernick: A Physical Model of Multiple Image Radiography, Physics in Medicine and Biology, 51(2): 221-236, 2006. doi: 10.1088/0031-9155/51/2/003.
  • M.A. Anastasio, D. Shi, and G. Gbur: Multi-Spectral Intensity Diffraction Tomography: Quasi-Nondispersive Objects, Journal of the Optical Society of America A, 23(6): 1359-1368, 2006. doi: 10.1364/ OSAA.23.001359.
  • J. Brankov, M. Wernick, D. Chapman, Y. Yang, C. Muehleman. Z. Zhong, and M.A. Anastasio: A computed tomography implementation of Multiple-Image Radiography, Medical Physics, 33(2): 278-289, 2006. doi: 10.1118/1.2150788.
  • J. Zhang, D. Shi, M.A. Anastasio, J. Sillanpaa, and J. Chang: Weighted Expectation Maximization Reconstruction Algorithms with Application to Gated Megavoltage Tomography, Physics in Medicine and Biology, 50(21): N299-N307, 2005. doi: 10.1088/0031-9155/50/21/N02.
  • M.A. Anastasio, E. Y. Sidky, Y. Zou, and X. Pan: Boundary Reconstruction on Chords in Cone-Beam Tomography (Invited Paper), Chinese Journal of Stereology and Image Analysis, 10: 137-140, 2005.
  • M.A. Anastasio, J. Zhang, E.Y. Sidky, Y. Zou, D. Xia, and X. Pan: Feasibility of Half- Data Image Reconstruction in 3D Reflectivity Tomography with a Spherical Aperture, IEEE Transactions on Medical Imaging, 24(9): 1100-1112, 2005. doi: 10.1109/TMI.2005.852055
  • M.A. Anastasio, D. Shi, Y. Huang, and G. Gbur: Image Reconstruction in Spherical Wave Intensity Diffraction Tomography, Journal of the Optical Society of America A, 22(12): 2651-2661, 2005. doi: 10.1364/JOSAA.22.002651
  • J. Zhang, M.A. Anastasio, X. Pan, and L.V. Wang: Weighted EM Reconstruction Algorithms for Thermoacoustic Tomography, IEEE Transactions on Medical Imaging, 24(6): 817-820, 2005. doi: 10.1109/TMI.2005.848372.
  • D. Shi, M.A. Anastasio, and X. Pan: Reconstruction of Refractive Index Discontinuities from Truncated Phase-Contrast Tomography Projections, Applied Physics Letters, 86(3), 034102, 2005. doi: 10.1063/1.1852093.
  • K. Arfanakis, A. A. Tahmane, J.G. Pipe, and M.A. Anastasio: K-space Undersampling in PROPELLER Imaging, Magn. Reson. Med., 53(3): 675-683, 2005. doi: 10.1002/mrm.20380.
  • M.A. Anastasio, J. Zhang, X. Pan, Y. Zou, G. Ku, and L. Wang: Half-Time Image Reconstruction in Thermoacoustic Tomography, IEEE Transactions on Medical Imaging, 24(2): 199-210, 2005. doi: 10.1109/TMI.2004.839682.
  • doi: 10.1364/JOSAA.22.000230
  • G. Gbur, M.A. Anastasio, D. Shi, Y. Huang: Spherical Wave Intensity Diffraction Tomography, Journal of the Optical Society of America A, 22(2): 230-238, 2005.
  • D. Shi, M.A. Anastasio, Y. Huang, and G. Gbur: Half-Scan and Single-Plane Intensity Diffraction Tomography for Phase Objects, Physics in Medicine and Biology, 49(12): 2733-2752, 2004. doi: 10.1088/0031-9155/49/12/018.
  • M.A. Anastasio, D. Shi, F. De Carlo, and X. Pan: Analytic Image Reconstruction in Local Phase-Contrast Tomography, Physics in Medicine and Biology, 49(1): 121-144, 2004. doi: 10.1088/0031-9155/49/1/009.
  • M. Wernick, O. Wirjadi, D. Chapman, Z. Zhong, N. Galatsanos, Y. Yang, J. Brankov, O. Oltulu, M.A. Anastasio, and C. Muehleman: Multiple-Image Radiography, Physics in Medicine and Biology, 48(23): 3875-3895, 2003. doi: 10.1088/0031-9155/48/23/006.
  • M.A. Anastasio, D. Shi, X. Pan, C. Pelizzari, and P. Munro: A Preliminary Investigation of Local Tomography for Megavoltage CT Imaging, Medical Physics, 30(11): 2969-2980, 2003. doi: 10.1118/1.1619232
  • M.A. Anastasio and X. Pan: An improved reconstruction algorithm for 3D diffraction tomography with spherical-wave sources, IEEE Transactions on Biomedical Engineering, 50(4): 517-521, 2003. doi: 10.1109/TBME.2003.809481.
  • X. Pan, Y. Zou and M.A. Anastasio: Data Redundancy and Reduced-Scan Reconstruction in Reflectivity Tomography, IEEE Transactions on Image Processing, 12(7): 784-795, 2003. doi: 10.1109/TIP.2003.814244.
  • X. Pan and M.A. Anastasio: On a Limited-View Reconstruction Problem in Diffraction Tomography, IEEE Transactions on Medical Imaging, 21(4): 413-416, 2002. doi: 10.1109/TMI.2002.1000265TMI
  • M.A. Anastasio and X. Pan: Numerically Robust Minimal-Scan Reconstruction Algorithms for Diffraction Tomography via Radon Transform Inversion, International Journal of Imaging Systems and Technology, 12(2): 84-91, 2002. doi: 10.1002/ima.10014.
  • M.A. Anastasio, X. Pan and E. Clarkson: Comments on the Filtered Backprojection Algorithm, Range Conditions, and the Pseudoinverse Solution, IEEE Transactions on Medical Imaging, 20(6): 539-542, 2001. doi: 10.1109/42.929620.
  • M.A. Anastasio and X. Pan: Full- and Minimal-Scan Reconstruction Algorithms for Fan- Beam Diffraction Tomography, Applied Optics, 40(20): 3334-3345, 2001. doi: 10.1364/AO.40.003334.
  • M.A. Anastasio and X. Pan: Investigation of the Noise Properties of a New Class of Reconstruction Methods in Diffraction Tomography, International Journal of Imaging Systems and Technology, 10(6): 437-446, 2000. doi:10.1002/(SICI)1098-1098(1999)10:63.0.CO;2-0.
  • M.A. Anastasio and X. Pan: A New Reconstruction Approach for Reflection Mode Diffraction Tomography, IEEE Transactions on Image Processing, 9(7): 1262-1271, 2000. doi: 10.1109/83.847838.
  • M A. Anastasio and X. Pan: Computationally Efficient and Statistically Robust Image Reconstruction in 3D Diffraction Tomography, Journal of the Optical Society of America A, 17(3): 391-400, 2000. doi: 10.1364/JOSAA.17.000391
  • X. Pan and M.A. Anastasio: Minimal-Scan Filtered Backpropagation Algorithms for Diffraction Tomography, Journal of the Optical Society of America A, 16(12): 2896-2903, 1999. doi: 10.1364/josaa.16.002896

Articles in Conference Proceedings

  • Chen X, Kandel M, He S, Lee YJ, Sullivan K, Kong HJ, Anastasio M.A., Popescu G. Laser scanning GLIM (LS-GLIM) for label-free imaging of turbid samples. In Quantitative Phase Imaging VII 2021 Mar 5 (Vol. 11653, p. 1165304). International Society for Optics and Photonics.
  • He, Y.R., He, S., Kandel, M., Lee, Y.J., Sobh, N., Anastasio, M.A. and Popescu, G.: Cell cycle detection using phase imaging with computational specificity (PICS). In Quantitative Phase Imaging VII (Vol. 11653, p. 116531R). International Society for Optics and Photonics.
  • Zachary E. Markow, Kalyan Tripathy, Jason W. Trobaugh, Alexa M. Svoboda, Mariel L. Schroeder, Sean M. Rafferty, Edward J. Richter, Adam T. Eggebrecht, M.A. Anastasio, and Joseph P. Culver: Decoding naturalistic movie clip identities from diffuse optical tomography measures of human brain activity", Proc. SPIE 11629, Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics, 116291K (5 March 2021)
  • Hu, C., He, S., Lee, Y.J., He, Y., Anastasio, M.A. and Popescu: Label-free cell viability assay using phase imaging with computational specificity (PICS). In Quantitative Phase Imaging VII (Vol. 11653, p. 116531D). International Society for Optics and Photonics.
  • Park, S., Villa, U., Brooks, F.J., Su, R., Oraevsky, A.A. and Anastasio, M.A.: Three-dimensional quantitative functional optoacoustic tomography to estimate vascular blood oxygenation of the breast. In Photons Plus Ultrasound: Imaging and Sensing 2021 (Vol. 11642, p. 116421N). International Society for Optics and Photonics.
  • Chao Wang, Weylan Thompson, Seonyeong Park, Sergey Ermilov, M.A. Anastasio: Dynamic reconstruction of three-dimensional photoacoustic tomography from few projections, Proc. SPIE 11642, Photons Plus Ultrasound: Imaging and Sensing 2021, 116421A.
  • Joseph Kuo, Jason L. Granstedt, Umberto Villa, Anastasio M.A.: Learning a projection operator onto the null space of a linear imaging operator, In Medical Imaging 2021: Physics of Medical Imaging (Vol. 11595, p. 115953X). International Society for Optics and Photonics.
  • Fu Li, Umberto Villa, Seonyeong Park, Shenghua He, Anastasio M.A.: A framework for ultrasound computed tomography virtual imaging trials that employs anatomically realistic numerical breast phantoms, In Medical Imaging 2021: Ultrasonic Imaging and Tomography (Vol. 11602, p. 116020V). International Society for Optics and Photonics.
  • Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Anastasio M.A.: Assessing regularization in tomographic imaging via hallucinations in the null space, In Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment (Vol. 11599, p. 115990N). International Society for Optics and Photonics.
  • Kaiyan Li, Weimin Zhou, Hua Li, Anastasio M.A.: Supervised learning-based ideal observer approximation for joint detection and estimation tasks, In Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment (Vol. 11599, p. 115990F). International Society for Optics and Photonics.
  • Kaiyan Li, Weimin Zhou, Hua Li, Anastasio M.A.: Task-based performance evaluation of deep neural network-based image denoising, In Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment (Vol. 11599, p. 115990L). International Society for Optics and Photonics.
  • Varun A. Kelkar, Xiaohui Zhang, Jason Granstedt, Hua Li, Anastasio M.A.: Task-based evaluation of deep image super-resolution in medical imaging, In Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment (Vol. 11599, p. 115990X). International Society for Optics and Photonics.
  • Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Anastasio M.A.: Advancing the AmbientGAN for learning stochastic object models, In Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment (Vol. 11599, p. 115990A). International Society for Optics and Photonics.
  • Jason L. Granstedt, Varun A. Kelkar, Weimin Zhou, Anastasio M.A.: SlabGAN: a method for generating efficient 3D anisotropic medical volumes using generative adversarial networks, In Medical Imaging 2021: Image Processing (Vol. 11596, p. 1159617). International Society for Optics and Photonics.
  • Varun A. Kelkar, Sayantan Bhadra, Anastasio M.A.: Medical image reconstruction using compressible latent space invertible networks, In Medical Imaging 2021: Physics of Medical Imaging (Vol. 11595, p. 115951S). International Society for Optics and Photonics.
  • John Paul Phillips, Emil Y. Sidky, Greg Ongie, Weimin Zhou, Juan Cruz-Bastida, Ingrid S. Reiser, Anastasio M.A., Xiaochuan Pan: A hybrid channelized Hotelling observer for estimating the ideal linear observer for total-variation-based image reconstruction, In Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment (Vol. 11599, p. 115990D). International Society for Optics and Photonics.
  • W. Zhou, S. Bhadra, F. Brooks, H. Li, and M.A. Anastasio, “Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements”, In Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment 2020 Mar 16 (Vol. 11316, p. 113160Q). International Society for Optics and Photonics.
  • S. He, W. Zhou, H. Li, and M.A. Anastasio, “Learning numerical observers using unsupervised domain adaptation”, In Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment 2020 Mar 16 (Vol. 11316, p. 113160W). International Society for Optics and Photonics.
  • J.L. Granstedt, W. Zhou, and M.A. Anastasio, “Learning efficient channels with a dual loss autoencoder”, In Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment 2020 Mar 16 (Vol. 11316, p. 113160C). International Society for Optics and Photonics.
  • W. Zhou and M.A. Anastasio, “Markov-Chain Monte Carlo approximation of the Ideal Observer using generative adversarial networks”, In Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment 2020 Mar 16 (Vol. 11316, p. 113160D). International Society for Optics and Photonics.
  • S. Bhadra, W. Zhou, M.A. Anastasio, “Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks”, In Medical Imaging 2020: Physics of Medical Imaging 2020 Mar 16 (Vol. 11312, p. 113120V). International Society for Optics and Photonics.
  • W. Thompson, A. Yu, D. S. Dumani, J. Cook, M.A. Anastasio, S. Y. Emelianov, and S. A. Ermilov, "A preclinical small animal imaging platform combining multi-angle photoacoustic and fluorescence projections into co-registered 3D maps", Proc. SPIE 11240, Photons Plus Ultrasound: Imaging and Sensing 2020, 112400L (17 February 2020)
  • J.L. Granstedt, W. Zhou, M.A. Anastasio, “Autoencoder embedding of task-specific information", Proc. SPIE 10952, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, 1095207 (4 March 2019); doi: 10.1117/12.2513120;https://doi.org/10.1117/12.2513120
  • M.A. Anastasio, “Advancements in image reconstruction for photoacoustic computed tomography (Conference Presentation)", Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 108780V (4 March 2019); doi: 10.1117/12.2516264; https://doi.org/10.1117/12.2516264
  • S. Park, A.A. Oraevsky, R. Su, M.A. Anastasio: Compensation for non-uniform illumination and optical fluence attenuation in three-dimensional optoacoustic tomography of the breast, Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 108784X (8 March 2019); doi: 10.1117/12.2514750; https://doi.org/10.1117/12.2514750.
  • J. Poudel, L.A. Forte, M.A. Anastasio: Compensation of 3D-2D model mismatch in ultrasound computed tomography with the aid of convolutional neural networks (Conference Presentation), Proc. SPIE 10955, Medical Imaging 2019: Ultrasonic Imaging and Tomography, 1095507 (15 March 2019); doi: 10.1117/12.2512966; https://doi.org/10.1117/12.2512966.
  • D.S. Dumani, A. Yu, W. Thompson, H. Brecht, V. Ivanov, M.A. Anastasio,.J. Cook, S. A. Ermilov, S.Y. Emelianov: Preclinical small animal imaging platform providing co-registered 3D maps of photoacoustic response and fluorescence, Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 108784Y (19 March 2019); doi: 10.1117/12.2514489; https://doi.org/10.1117/12.2514489.
  • Z.E. Markow, M.D. Reisman, A.Q. Bauer, A.T. Eggebrecht, M.A. Anastasio, J.P. Culver: A diffuse optical tomography system for whole-brain functional imaging in mice using multiple camera views (Conference Presentation), Proc. SPIE 10874, Optical Tomography and Spectroscopy of Tissue XIII, 108741G (4 March 2019); doi: 10.1117/12.2508997;https://doi.org/10.1117/12.2508997.
  • W. Zhou, M.A. Anastasio: Learning the ideal observer for joint detection and localization tasks by use of convolutional neural networks, Proc. SPIE 10952, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, 1095209 (4 March 2019); doi: 10.1117/12.2513016;https://doi.org/10.1117/12.2513016.
  • W. Zhou, S. Bhadra, F. Brooks, M.A. Anastasio: Learning stochastic object model from noisy imaging measurements using AmbientGANs, Proc. SPIE 10952, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, 109520M (4 March 2019); doi: 10.1117/12.2512633; https://doi.org/10.1117/12.2512633.
  • W. Zhou, H. Li, M.A. Anastasio: Learning the Hoteling observer for SKE detection tasks by use of supervised learning methods, SPIE Medical Imaging Conference Proceedings, 2019, Oral presentation.
  • S. He, K. Minn, L. Solnica-Krezel, H. Li, M.A. Anastasio: Automatic Microscopic Cell Counting by Use of Unsupervised Adversarial Domain Adaptation and Supervised Density Regression, SPIE Medical Imaging Conference Proceedings, 2019, Oral presentation.
  • S. He, K.Thu Minn, L. Solnica-Krezel, J. Wu, M.A. Anastasio, H. Li: Automatic Microscopic Cell Counting by Use of Deeply-Supervised Density Regression Model, SPIE Medical Imaging Conference Proceedings, 2019, Oral presentation.
  • Y. Chen, M.A. Anastasio: Joint-reconstruction-enabled partial-dithering strategy for edge-illumination x-ray phase-contrast tomography, Proc. SPIE 10948, Medical Imaging 2019: Physics of Medical Imaging, 109481P (1 March 2019); doi: 10.1117/12.2512568; https://doi.org/10.1117/12.2512568.
  • S. He, J. Zheng, A. Maehara, G. Mintz, D. Tang, M.A. Anastasio, H. Li: CNN-based automatic plaque characterization for intracoronary optical coherence tomography images, SPIE Medical Imaging Conference Proceedings, Vol 10574, 2018, doi:10.1117/12.2293957.
  • S. Alshahrani, Y. Yan, I. Avrutsky, E. Malyarenko, M.A. Anastasio, M. Mehrmohammadi: An advanced photoacoustic tomography system based on a ring geometry design, Proc. SPIE 10580, Medical Imaging 2018: Ultrasonic Imaging and Tomography, 1058005 (6 March 2018); doi: 10.1117/12.229659510.1117/12.2296595.
  • W. Zhou, M.A. Anastasio: Learning the ideal observer for SKE detection tasks by use of convolutional neural networks (Cum Laude Poster Award), Proc. SPIE 10577, Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, 1057719 (7 March 2018); doi: 10.1117/12.2293772; https://doi.org/10.1117/12.2293772.
  • Y. Chen, W. Zhou, M. A. Anastasio: Joint-reconstruction-enabled data acquisition design for single-shot edge-illumination x-ray phase-contrast tomography, Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 1057322 (9 March 2018); doi: 10.1117/12.2293621;https://doi.org/10.1117/12.2293621.
  • J. Poudel, T.P. Matthews, M.A. Anastasio, L.V. Wang: Joint reconstruction of initial pressure distribution and acoustic skull parameters in transcranial photoacoustic computed tomography (Conference Presentation), Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104942U (14 March 2018); doi: 10.1117/12.2290890; https://doi.org/10.1117/12.2290890.
  • J. Poudel, T.P. Matthews, M.A. Anastasio: Joint image reconstruction of initial pressure distribution and acoustic parameters in elastic media with application to transcranial photoacoustic tomography (Conference Presentation), Proc. SPIE 10580, Medical Imaging 2018: Ultrasonic Imaging and Tomography, 1058004 (14 March 2018); doi: 10.1117/12.2293672;https://doi.org/10.1117/12.2293672.
  • T.P. Matthews, J. Poudel, L. Li, L.V. Wang, M.A. Anastasio: Parameterized joint reconstruction of the initial pressure and sound speed distributions in photoacoustic computed tomography (Conference Presentation), Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104942V (15 March 2018); doi: 10.1117/12.2291014; https://doi.org/10.1117/12.2291014.
  • Hans P. Brecht, Vassili Ivanov, Diego S. Dumani, Stanislav Y. Emelianov, M.A. Anastasio, S.A. Ermilov: A 3D imaging system integrating photoacoustic and fluorescence orthogonal projections for anatomical, functional and molecular assessment of rodent models, Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 1049411 (16 March 2018); doi: 10.1117/12.2290880;https://doi.org/10.1117/12.2290880.
  • Alexander Oraevsky, Richard Su, Ha Nguyen, James Moore, Yang Lou, Sayantan Bhadra, Luca Forte, M.A Anastasio, W. Yang: Full-view 3D imaging system for functional and anatomical screening of the breast, Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104942Y (11 April 2018); doi: 10.1117/12.2318802; https://doi.org/10.1117/12.2318802.
  • Jian Wu, Su Ruan, Thomas Mazur, Nalini Daniel, Hilary Lashmett, Laura Ochoa, Imran Zoberi, Chunfeng Lian, H. Michael Gach, Sasa Mutic, Maria Thomas, M.A. Anastasio, Hua Li, “Heart Motion Tracking on Cine MRI Based on a Deep Boltzmann Machine-Driven Level Set Method”, 2018 IEEE International Symposium on Biomedical Imaging (ISBI’2018), Washington D.C, 2018.
  • H. Guan and M.A. Anastasio: A resolution-enhancing image reconstruction method for few-view differential phase-contrast tomography, In SPIE Medical Imaging, Mar 13 (pp. 10132). International Society for Optics and Photonics, 2017.
  • T.P. Matthews, K. Wang, C. Li, N. Duric, M.A. Anastasio: Image Reconstruction for Ultrasound Computed Tomography by Use of the Regularized Dual Averaging Method. In SPIE Medical Imaging, Mar 13 (pp. 101390P-101390P). International Society for Optics and Photonics, 2017.
  • T.P. Matthews, M.A. Anastasio. Joint Reconstruction of the Sound Speed and Initial Pressure Distributions for Ultrasound Computed Tomography and Photoacoustic Computed Tomography. In SPIE Medical Imaging, Mar 13 (pp. 101390B-101390B). International Society for Optics and Photonics, 2017.
  • S.R. Dolly, M.A. Anastasio, L. Yu, H. Li: Learning-Based Stochastic Object Models for Use in Optimizing Imaging Systems. In SPIE Medical Imaging, Mar 9 (pp. 101321T-101321T). International Society for Optics and Photonics, 2017.
  • Y. Chen, H. Guan, C.K. Hagen, A. Olivo, M.A. Anastasio: A Joint-Reconstruction Approach for Single-Shot Edge Illumination X-Ray Phase-Contrast Tomography. In SPIE Medical Imaging, Mar 9 (pp. 1013217-1013217). International Society for Optics and Photonics, 2017.
  • S.R. Dolly, M.A. Anastasio, L. Yu, H. Li: Task-Based Image Quality Assessment in Radiation Therapy: Initial Characterization and Demonstration with CT Simulation Images. In SPIE Medical Imaging, Mar 10 (pp. 101360Y-101360Y). International Society for Optics and Photonics, 2017.
  • Y. Chen, Y. Lou, C. Eldeniz, H. An, M.A. Anastasio: Estimating Posterior Image Variance with Sparsity-Based Object Priors for MRI. In SPIE Medical Imaging, Mar 9 (pp. 101321J-101321J). International Society for Optics and Photonics, 2017.
  • J. Poudel, T.P. Matthews, K. Mitsuhashi, A. Garcia-Uribe, L.V. Wang, M.A. Anastasio: Iterative image reconstruction in elastic inhomogenous media with application to transcranial photoacoustic tomography. In SPIE Medical Imaging, Mar 13 (pp. 101390C-101390C). International Society for Optics and Photonics, 2017.
  • Y. Chen, Y. Lou, M.A. Kupinski, M.A. Anastasio: Task-Based Data-Acquisition Optimization for Sparse Image Reconstruction Systems. In SPIE Medical Imaging, Mar 10 (pp. 101360Z-101360Z). International Society for Optics and Photonics, 2017.
  • Y, Lou, K. Mitsuhashi, C. M. Appleton, A.A. Oraevsky, M.A. Anastasio: Generation of anatomically realistic numerical phantoms for optoacoustic breast imaging, In SPIE BiOS, pp. 97084O-97084O-8. International Society for Optics and Photonics, 2016.
  • Y, Lou, A.A. Oraevsky, M.A. Anastasio: Application of signal detection theory to assess optoacoustic imaging systems, In SPIE BiOS, pp. 97083Z-97083Z-9. International Society for Optics and Photonics, 2016.
  • J. Poudel, T.P. Matthews, M.A. Anastasio, L.V. Wang: Compensation of acoustic heterogeneities in photoacoustic computed tomography using a variable temporal data truncation reconstruction method, In SPIE BiOS, pp. 97083W-97083W-5. International Society for Optics and Photonics, 2016.
  • T.P Matthews, L. Li, L.V. Wang, and M.A. Anastasio: Compensation for air voids in photoacoustic computed tomography image reconstruction, In SPIE BiOS, pp. 970841-970841-6. International Society for Optics and Photonics, 2016.
  • M. Klosner, G. Chan, C. Wu, D.F. Heller, R. Su, S. Ermilov, H, Peter Brecht, V. Ivanov, P. Talole, Y, Lou, M.A. Anastasio, A.A. Oraevsky: In SPIE BiOS, pp. 97085B-97085B-14. International Society for Optics and Photonics, 2016.
  • Y. Chen, K. Wang, D. Gursoy, C.S. Hoyuelos, F D.e Carlo, and M.A. Anastasio: Joint reconstruction of absorption and refractive properties in propagation-based x-ray phase-contrast tomography via a non-linear image reconstruction algorithm, In SPIE Medical Imaging, pp. 97835J-97835J-6. International Society for Optics and Photonics, 2016.
  • AB Garson, S Gunsten, S Vasireddi, S Brody and M.A. Anastasio: In vivo small animal lung speckle imaging with a benchtop in-line XPC system, In SPIE Medical Imaging, pp. 97835J-97835J-6. International Society for Optics and Photonics, 2016.
  • C.Y. Chou and M.A. Anastasio: Quantification of signal detection performance degradation induced by phase-retrieval in propagation-based x-ray phase-contrast imaging, In SPIE Medical Imaging, pp. 97835J-97835J-6. International Society for Optics and Photonics, 2016.
  • K. Wang, Thomas Matthews, F. Anis, C. Li, N. Duric, and M.A. Anastasio: Breast ultrasound computed tomography using waveform inversion with source encoding. In SPIE Medical Imaging, pp. 94190C-94190C. International Society for Optics and Photonics, 2015.
  • K. Mitsuhashi, L.V. Wang, and M.A. Anastasio: Image reconstruction in transcranial photoacoustic computed tomography of the brain. In SPIE BiOS, pp. 93233B-93233B. International Society for Optics and Photonics, 2015.
  • K. Wang, Yang Lou, Matthew A. Kupinski, and M.A. Anastasio: Sparsity-driven ideal observer for computed medical imaging systems. In SPIE Medical Imaging, pp. 94161C-94161C. International Society for Optics and Photonics, 2015.
  • M.A. Anastasio: Effect of rotating partial illumination on image reconstruction for optoacoustic breast tomography. In SPIE BiOS, pp. 93233L-93233L. International Society for Optics and Photonics, 2015.
  • Y. Lou, Vyacheslav Nadvoretskiy, Kun Wang, Sergey Emilov, Alexander Oraevsky, and
  • Q. Sheng, Kun Wang, Jun Xia, Liren Zhu, Lihong V. Wang, and M.A. Anastasio: Photoacoustic computed tomography without accurate ultrasonic transducer responses. In SPIE BiOS, pp. 932313-932313. International Society for Optics and Photonics, 2015.
  • F. Anis, Kun Wang, Richard Su, Sergey A. Ermilov, Alexander A. Oraevsky, and M.A. Anastasio: Accelerated iterative image reconstruction in three-dimensional optoacoustic tomography. In SPIE BiOS, pp. 932315-932315. International Society for Optics and Photonics, 2015.
  • S.A. Ermilov, Richard Su, Andre Conjusteau, Tanmayi Oruganti, Kun Wang, Fatima Anis, M.A. Anastasio, and Alexander A. Oraevsky: Three-dimensional laser optoacoustic and laser ultrasound imaging system for biomedical research. In SPIE BiOS, pp. 93230N-93230N. International Society for Optics and Photonics, 2015.
  • A.B. Garson, , S. Gunsten, H. Guan, S. Vasireddi, S. Brody, and M.A. Anastasio: Small animal lung imaging with an in-line X-ray phase contrast benchtop system. In SPIE Medical Imaging, pp. 94120L-94120L. International Society for Optics and Photonics, 2015.
  • K. Wang, J. Xia, C. Li, L. V. Wang, and M.A. Anastasio: Low-rank matrix estimation based spatio-temporal image reconstruction for dynamic photoacoustic computed tomography. In SPIE BiOS, pp. 89432I-89432I. International Society for Optics and Photonics, 2014.
  • H. Guan, Q. Xu, A. Garson, and M.A. Anastasio: Investigation of in-line X-ray Phase-Contrast tomosynthesis. In SPIE Medical Imaging, pp. 90330H-90330H. International Society for Optics and Photonics, 2014.
  • Anis, M.A. Anastasio, and A. A. Oraevsky: 3D laser optoacoustic ultrasonic imaging system for research in mice (LOUIS-3DM). In SPIE BiOS, pp. 89430J-89430J. International Society for Optics and Photonics, 2014.
  • S. Ermilov, R. Su, A. Conjusteau, V. Ivanov, V. Nadvoretskiy, T. Oruganti, P. Talole, F.
  • for grating-based X-ray Phase-Contrast computed tomography. In SPIE Medical Imaging, pp. 90330D-90330D. International Society for Optics and Photonics, 2014.
  • Q. Xu, A. Sawatzky, and M.A. Anastasio: A multi-channel image reconstruction method
  • M.A. Anastasio, K. Mitsuhashi, C. Huang, R. Schoonover, K. Maslov, A. Garcia-Uribe, and L. V. Wang: Recent advancement in transcranial brain imaging using photoacoustic computed tomography. The Journal of the Acoustical Society of America 135, no. 4 (2014): 2208-2208.
  • J. Xia, C. Huang, K. Maslov, M.A. Anastasio, and L. V. Wang: Acoustic-speed correction of photoacoustic tomography by ultrasonic computed tomography based on optical excitation of elements of a full-ring transducer array. In SPIE BiOS, pp. 89432G-89432G. International Society for Optics and Photonics, 2014.
  • C. Huang, K.Wang, R.W. Schoonover, L. V.Wang, and M.A. Anastasio: Simultaneous reconstruction of absorbed optical energy density and speed of sound distributions in photoacoustic computed tomography. In SPIE BiOS, pp. 894360-894360. International Society for Optics and Photonics, 2014.
  • K. Mitsuhashi, R. W. Schoonover, C. Huang, L. V. Wang, and M.A. Anastasio: Investigation of effective system designs for transcranial photoacoustic tomography of the brain. In SPIE BiOS, pp. 894369-894369. International Society for Optics and Photonics, 2014.
  • C. Huang, K. Wang, L. V. Wang, and M.A. Anastasio: Image reconstruction in photoacoustic tomography with heterogeneous media using an iterative method. In SPIE BiOS, pp. 858106-858106. International Society for Optics and Photonics, 2013.
  • S. Ermilov, A. Conjusteau, T. Hernandez, R. Su, V. Nadvoretskiy, D. Tsyboulski, F. Anis, M.A. Anastasio, and A. A. Oraevsky: 3D laser optoacoustic ultrasonic imaging system for preclinical research. In SPIE BiOS, pp. 85810N-85810N. International Society for Optics and Photonics, 2013.
  • F. Anis, R. Su, V. V. Nadvoretsky, A. Conjusteau, S. A. Ermilov, A. A. Oraevsky, and M.A. Anastasio: Image reconstruction and system optimization for three-dimensional speed of sound tomography using laser-induced ultrasound. In SPIE BiOS, pp. 85814T-85814T. International Society for Optics and Photonics, 2013.
  • R. Schoonover, K. Wang, and M.A. Anastasio: Iterative image reconstruction in photoacoustic tomography using Kaiser-Bessel windows. In SPIE BiOS, pp. 85814X-85814X. International Society for Optics and Photonics, 2013.
  • R. Schoonover, L. V. Wang, and M.A. Anastasio: Analysis of the role of shear waves in transcranial photoacoustic tomography. In SPIE BiOS, pp. 822320-822320. International Society for Optics and Photonics, 2012.
  • K. Wang, R. Su, A. A. Oraevsky, and M.A. Anastasio: Sparsity regularized data-space restoration in optoacoustic tomography. In SPIE BiOS, pp. 822322-822322. International Society for Optics and Photonics, 2012.
  • L. Nie, C.Huang, Z. Guo, M.A. Anastasio, and Lihong V. Wang: Transcranial photoacoustic tomography of the monkey brain. In SPIE BiOS, pp. 82230L-82230L. International Society for Optics and Photonics, 2012.
  • K. Wang, E.Y. Sidky,M.A. Anastasio, A.A. Oraevsky, and X. Pan: Limited data image reconstruction in optoacoustic tomography by constrained total variation minimization, Vol. 7899, 78993U, 2011.
  • M.B. Roumeliotis, M.A. Anastasio, and J.J.L. Carson: Estimate of effective singular values of a photoacoustic imaging system by noise characterization, Vol. 7899, 78991U, 2011.
  • R.W. Schoonover and M.A. Anastasio: A layered media approach to photoacoustic tomography, Proc. SPIE Optical Engineering and Applications, Vol. 7899, 2011.
  • J.J.L. Carson, M. Roumeliotis, G. Chaudhary, R. Z. Stodilka,and M.A. Anastasio: 3D Photoacoustic Imaging, Proc. SPIE, Vol. 7750, 775009, 2010.
  • C. Huang, A. A. Oraevsky, and M.A. Anastasio: Investigation of Limited-View Image Reconstruction in Photoacoustic Tomography Employing a Priori structural information, Proc. SPIE Optical Engineering and Applications, Vol. 7800, 780004, 2010.
  • R. Schoonover and M.A. Anastasio: Photoacoustic Image Reconstruction in Layered Acoustic Media, Proc. SPIE Optical Engineering and Applications, Vol. 7800, 780003, 2010.
  • K. Wang, M.A. Anastasio, S. A. Ermilov, H-P. Brecht, R. Su, and A. A. Oraevsky: Compensation for Transducer Effects in Optoacoustic Tomography, Proc. SPIE, 7564, 7564OP, 2010.
  • L. Carson: Analysis of a Photoacoustic Imaging System by Singular Value Decomposition, Proc. SPIE, 7564, 756432, 2010.
  • M. Roumeliotis, G. Chaudhary,M.A. Anastasio, R. Stodilka, A. Immucci, E. Ng, and J.J.
  • G. Chaudhary, M. Roumeliotis, J. J. L. Carson, and M.A. Anastasio: Comparison of Reconstruction Algorithms for Sparse-Array Detection Photoacoustic Tomography, Proc. SPIE, 7564, 756434, 2010.
  • G. Chaudhary,M. Roumeliotis, P. Ephrat, R. Stodilka, J. J. L. Carson, and M.A. Anastasio: Characterization of Sparse-Array Detection Photoacoustic Tomography Using the Singular Value Decomposition, Proc. SPIE, 7564, 756438, 2010.
  • M.A. Anastasio, C-Y. Chou, A. M. Zysk, and J. G. Brankov: Contributions to Ideal Observer SNRs in Propagation-Based X-ray Phase-Contrast Imaging, Proc. SPIE, 7622, 76220S, 2010.
  • C-Y. Chou and M.A. Anastasio, Statistical Properties of X-ray Phase-Contrast Tomography, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’09), Minneapolis, MN, September 2-6, In press, 2009. (Invited Paper)
  • D. Modgil, M.A. Anastasio, K. Wang, and P.J. La Riviere: Image Reconstruction in Photoacoustic Tomography with Variable Speed of Sound Using a Higher-Order Geometrical Acoustics Approximation, Proc. SPIE, 7177, 71771A, 2009.
  • an Attenuating Medium Using Singular Value Decomposition, Proc. SPIE, 7177, 71771B, 2009.
  • D. Modgil, M.A. Anastasio, and P.J. La Riviere: Photoacoustic Image Reconstruction in
  • A.M. Zysk, Q. Xu, L. De Sisternes. J.G. Brankov, M.N. Wernick and M.A. Anastasio: Analysis of the Spectrum in Phase-Contrast Mammography, Proc. SPIE, 7258, 72584E, 2009.
  • M.A. Anastasio, E.Y. Sidky, X. Pan, and C-Y Chou: Boundary Reconstruction in Limited-Angle X-ray Phase-Contrast Tomography, Proc. SPIE, 7258, 725827, 2009.
  • X-ray Phase-Contrast Tomography for Tissue Characterization, Proc. SPIE, 7258, 72584B, 2009.
  • C-Y Chou, A.M. Zysk, and M.A. Anastasio: Investigation of Quantitative Polychromatic
  • M.A. Anastasio, D. Shi and X. Pan: X-ray Phase-Contrast Local Tomography Image Reconstruction on Pi-Lines, Proc. SPIE, 7078, 707812, 2008.
  • A. Zysk, M.N. Wernick and M.A. Anastasio: Validity of a Fully Coherent Field Model for In-Line X-ray Phase Imaging, Proc. SPIE, 7078, 70781A, 2008.
  • M.A. Anastasio, Q. Xu, and D. Shi: Multi-Spectral Intensity Diffraction Tomography, Proc. SPIE, 7076, 707605, 2008.
  • C-Y Chou and M.A. Anastasio: Noise Properties of In-Line X-ray Imaging and Tomography, Proc. SPIE, 7078, 707813, 2008.
  • K.Wang, J. Zhang, and M.A. Anastasio: Elucidation of 2D and 3D Photoacoustic Tomography, Proc. SPIE, 6856, 6856 1E, 2008.
  • C.Y. Chou, M.A. Anastasio, J. Zhang, G. Ku, X. Yang, and L.V. Wang: Multi-Bandwidth Image Reconstruction in Photoacoustic Tomography, Proc. SPIE, 6856, 6856 1G, 2008.
  • J. Zhang, K.Wang, Y. Yang, andM.A. Anastasio: Simultaneous Reconstruction of Speed-of-Sound and Optical Absorption Properties in Photoacoustic Tomography via a Time-Domain Iterative Algorithm, Proc. SPIE, 6856, 6856 1F, 2008.
  • M.A. Anastasio, K. Wang, J. Zhang, G.A. Kruger, D. Reinecke, and R.A. Kruger: Improving Limited-View Reconstruction in Photoacoustic Tomography by Incorporating a priori Boundary Information, Proc. SPIE, 6856, 6856 1B, 2008.
  • M.A. Anastasio, D. Xia, and X. Pan: Region-of-Interest Image Reconstruction in X-ray Differential Phase-Contrast Tomography, Proc. SPIE, 6913, 6913 27, 2008.
  • C.Y. Chou and M.A. Anastasio: Influence of Imaging Geometry on Noise Texture in X-ray In-Line Phase-Contrast Imaging, Proc. SPIE, 6913, 6913 1Z, 2008.
  • J. Zhang, M.A. Anastasio, and P. J. La Riviere: Comparison of Iterative Reconstruction Approaches for Photoacoustic Tomography, Proc. SPIE, 6437, 64370Y, 2007.
  • M.A. Anastasio, J. Zhang, D. Shi, and X. Pan: Perspectives in Fourier-Based Image Reconstruction in Photoacoustic Tomography, Proc. SPIE, 6437, 64371D, 2007.
  • M.A. Anastasio, Y. Huang, G. Gbur, and P.S. Carney: Investigation of 3D microscopy Using Intensity Diffraction Tomography, Proc. SPIE, 6090, 60900G, 2006.
  • M.A. Anastasio and D. Shi: Three-Dimensional Image Reconstruction in Variable Density Acoustic Tomography, Proc. SPIE, 6316, 631604, 2006.
  • M.A. Anastasio, C-Y Chou, Y. Huang, and D. Shi: Statistically Optimal Image Reconstruction in Propagation-Based Phase-Contrast Tomography, Proc. SPIE 6318, 63180U, 2006.
  • D. Shi and M.A. Anastasio: Intensity Diffraction Tomography with a Novel Scanning Protocol, Proc. SPIE, 6316, 631607, 2006.
  • Y. Huang and M.A. Anastasio: Statistically Optimal Image Reconstruction for Multi-Detector Intensity Diffraction Tomography, Proc. SPIE 6316, 63160K, 2006.
  • P. J. La Riviere, J. Zhang and M.A. Anastasio: Ultrasonic Attenuation Correction in Optoacoustic Tomography, Proceedings of the SPIE Photonics West Conference, 6086, 60861I, 2006.
  • J. Zhang and M.A. Anastasio: Reconstruction of Speed-of-Sound and Electromagnetic Absorption Distributions in Photoacoustic Tomography, Proceedings of the SPIE Photonics West Conference, 6086, 608619, 2006.
  • Truncated Cylindrical Measurement Apertures, Proceedings of the SPIE Photonics West Conference, 6086, 608610, 2006.
  • M.A. Anastasio and J. Zhang: Image Reconstruction in Photoacoustic Tomography with
  • Truncated Cylindrical Measurement Apertures, Proceedings of the SPIE Photonics West Conference, 6086, 608610, 2006.
  • M.A. Anastasio and J. Zhang: Image Reconstruction in Photoacoustic Tomography with
  • M.A. Anastasio, E.Y. Sidky, Y. Zou, and X. Pan: Cone-Beam Local Tomography Image
  • P. J. La Riviere, J. Zhang, and M.A. Anastasio: Image Reconstruction in Optoacoustic Tomography Accounting for Frequency-Dependent Attenuation, Proceedings of the IEEE Medical Imaging Conference, 4, 1841-1845, 2005.
  • X. Pan, M.A. Anastasio and J. Zhang: Data Redundancies in Reflectivity Tomography Employing Bistatic Measurements, Acoustical Imaging, M.P. Andre, Ed., 28, 231-246, 2007.
  • Acoustic Diffraction Tomography, Acoustical Imaging, M.P. Andre, Ed., 28, 155-172, 2007.
  • M.A. Anastasio, X. Pan, and D. Shi: An Overview of Data Symmetries and Their Use in
  • Time Reconstruction in Thermoacoustic Tomography, Proceedings of the SPIE Biophotonics West Conference, 5697, 263-270, 2005.
  • M.A. Anastasio, J. Zhang, X. Pan, G. Ku and L. V. Wang: Mitigating Artifacts via Half-
  • M.A. Anastasio, J. Zhang, and X. Pan: Image Reconstruction in Thermoacoustic Tomography with Compensation for Acoustic Heterogeneities, Proceedings of the SPIE Medical Imaging Conference, 5750, 298-304, 2005.
  • M.A. Anastasio and D. Shi: Phase-Contrast Tomography Using Tilted Detector Planes, Proceedings of the SPIE Medical Imaging Conference, 5745, 1266-1270, 2005.
  • M.A. Anastasio, D. Shi, and T. Deffieux: Image Reconstruction in Variable Density Acoustic Tomography, Proceedings of the SPIE Medical Imaging Conference, 5750, 326-331, 2005.
  • M. Wernick, J. Brankov, D. Chapman, Y. Yang, C.Muehleman, Z. Zhong, and M.A. Anastasio: A Preliminary Study of Multiple-Image Computed Tomography (Invited Paper), Proceedings of the SPIE, Developments in X-ray Tomography IV, 5535, 369-379, 2004.
  • Incident Spherical Waves, Proceedings of the SPIE, Developments in X-ray Tomography IV, 5535, 724-732, 2004.
  • M.A. Anastasio, D. Shi, Y. Huang, and G. Gbur: Phase-Contrast Tomography using
  • M.A. Anastasio and D.Shi: On the Relationship Between Intensity Diffraction Tomography and Phase-Contrast Tomography (Invited Paper), Proceedings of the SPIE, Developments in X-ray Tomography IV, 5535, 361-368, 2004.
  • D. Shi, M.A. Anastasio, and X. Pan: Quantitative Boundary Reconstruction from Truncated Phase-Contrast Tomographic Projections (Invited Paper), Proceedings of the SPIE, Developments in X-ray Tomography IV, 5535, 310-317, 2004.
  • Multiple-Image Computed Tomography, Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 948-951, 2004.
  • M. Wernick, J. Brankov, D. Chapman, M.A. Anastasio, Z. Zhong, C. Muehleman, J. Li:
  • D. Shi, M.A. Anastasio, Y. Huang, and G. Gbur: Intensity Diffraction Tomography for Phase Objects, Proceedings of the SPIE Medical Imaging Conference, 5368, 795-802, 2004.
  • M.A. Anastasio, Y. Huang, D. Shi, and G. Gbur: Noise Properties of Intensity Diffraction Tomography, Proceedings of the SPIE Medical Imaging Conference, 5368, 272-280, 2004.
  • M.A. Anastasio, X. Pan, J. Zhang, M. Xu, and L. Wang: Half-Time-Based Reflectivity Tomography and its Application to Thermoacoustic Tomography, Proceedings of the SPIE Medical Imaging Conference, 5373, 80-86, 2004.
  • 3D Reflectivity Tomography, Proceedings of the 2003 International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Saint-Malo, France,2003.
  • X. Pan, Y. Zou, M.A. Anastasio and E. Sidky: Reduced-Scan Image Reconstruction in
  • X. Pan, Y. Zou, M.A. Anastasio and E. Sidky: Image Reconstruction from Reduced- Scan Data in Ultrasonic Reflectivity Tomography, Proceedings of the SPIE Medical Imaging Conference, 5035, 49-55, 2003.
  • M.A. Anastasio, F. De Carlo, and X. Pan: Phase-Contrast Tomography and the Local Tomography Problem, Proceedings of the SPIE Medical Imaging Conference, 5030, 120-126, 2003.
  • D. Shi, M.A. Anastasio, X. Pan, C. Pelizzari, and P. Munro: Investigation of Megavoltage Local Tomography for Detecting Setup Errors in Radiation Therapy, Proceedings of the SPIE Medical Imaging Conference, 5029, 176-182, 2003.
  • M.A. Anastasio, Y. Zou, and X. Pan: Reflectivity Tomography Using Temporally Truncated Data, Proceedings of the Second Joint EMBS/BMES Conference, 2, 921-922, 2002.
  • M.A. Anastasio, D. Shi, X. Pan and C. Pelizzari: A Preliminary Investigation of Local Cone-Beam Tomography for MV CT Imaging of Tumor Volumes in Radiation Therapy, Proceedings of the Second Joint EMBS/BMES Conference 2, 1186 - 1187, 2002.
  • Problem in Reflection-Mode Tomography, IEEE Nuclear Science Symposium Conference Record, 2, 726 - 730, 2002.
  • Y. Zou, X. Pan, and M.A. Anastasio: Data Truncation and the Exterior Reconstruction
  • Scan Data, Proceedings of the IEEE International Symposium on Biomedical Imaging, 1027 -1030, 2002.
  • X. Pan, Y. Zou, and M.A. Anastasio: Image Reconstruction of Reflectivity from Short
  • M.A. Anastasio, and X. Pan.: Development and Evaluation of Minimal-Scan Reconstruction Algorithms for Diffraction Tomography, Proceedings of the SPIE Medical Imaging Conference, 4322, 860-866, 2001.
  • Diffraction Tomography and Their Analogy to Halfscan Fan-Beam CT, Proceedings of the IEEE Medical Imaging Conference, 2, 3-7, 2000.
  • X. Pan and M.A. Anastasio: Minimal-Scan Reconstruction Algorithms for Fan-Beam
  • of Diagnostic Classifiers Used in the Computerized Detection of Mass Lesions in Mammography, Proceedings of the SPIE Medical Imaging Conference, San Diego, California, 3979, 40-45, 2000.
  • M. A. Kupinski, M.A. Anastasio, and M. L. Giger: Multiobjective Genetic Optimization
  • X. Pan and M.A. Anastasio: An Efficient Approach for Image Reconstruction in 3D Ultrasonic Diffraction Tomography, Proceedings of the 1999 International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 119-124 (Beeckman, Defrise, and Viegever, ed.), Egmond aan Zee, The Netherlands 1999, (Peer-reviewed).
  • H. Yoshida, M.A. Anastasio, R. Nagel, R. Nishikawa, and K. Doi: Computer-Aided Diagnosis for Detection of Clustered Microcalcifications in Mammograms: Automated Optimization of Performance Based on Genetic Algorithm, Proceedings of the 1998 Workshop on Computer-Aided Diagnosis, Published in Computer-Aided Diagnosis in Medical Imaging, Elsevier Press, pg. 247- 252, 1998.
  • SPECT and Diffraction Tomography, Proceedings of the 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference, 3, 673 - 1677, 1998.
  • X. Pan, M.A. Anastasio, and C. Kao: A Comparative Study of Image Reconstruction in
  • M.A. Anastasio, M. Kupinski, R. Nishikawa, and M. Giger: A Multiobjective Approach to Optimizing Computer-Aided Diagnosis Schemes, Proceedings of the 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference, 3, 1879-1883, 1998.
  • M.A. Anastasio, X. Pan, and C. Kao: A General Technique for Smoothing Multi-Dimensional Datasets Utilizing Orthogonal Expansions and Lower Dimensional Smoothers, Proceedings of the 1998 IEEE International Conference on Image Processing, 2, 718-721, 1998.
  • M.A. Anastasio, M.A. Kupinski, and X. Pan: New Classes of Robust Reconstruction Methods in Reflection Mode Diffraction Tomography, Proceedings of the 1998 IEEE International Ultrasonics Symposium, 1, 839 - 842, 1998.
  • X. Pan and M.A. Anastasio: A Novel Approach for a Bias-Free Reduction of Image Variance in Ultrasonic Diffraction Tomography, Proceedings of the 1998 IEEE International Ultrasonics Symposium, 1, 1627-1630, 1998.
  • C. Kao, X. Pan, M.A. Anastasio, and P. La Riviere: An Interpolation Method Using Signal Recovery and Discrete Fourier Transform, Proceedings of the 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference, 2, 1387 - 1391, 1998.
  • M.A. Anastasio, M. Kupinski, and X. Pan: Noise Properties of Reconstructed Images in Ultrasound Diffraction Tomography, Proceedings of the 1997 IEEE Nuclear Science Symposium and Medical Imaging Conference, 2, 1561-1565, 1998.

Patents

  • Principal Investigator (MPI with N. Duric), NIH R01EB028652, Advanced Image Reconstruction for High Resolution Breast Ultrasound Tomography, 09/01/2019–05/31/2023, $2,965,224.
  • Principal Investigator, National Science Foundation (NSF), OP: Collaborative Research: Development of Advanced Image Reconstruction Methods for Pre-Clinical Applications of Photoacoustic Computed Tomography, 10/01/16 – 09/30/20, $343,900.
  • Principal Investigator (MPI with EM Brey), NIH R01 EB020604, An Enabling Technology for Preclinical X-ray Imaging of Biomaterials In Vivo, 08/01/2016-04/30/2020, $2,632,725.
  • Principal Investigator, NIH R01EB023045, Development of a Rapid Method for Imaging Regional Ventilation in Small Animals W/O Contrast Agents, 05/01/2017 – 02/28/2021, $1,715,299.
  • Principal Investigator (MPI with LV Wang), NIH R01NS088494, Safe, rapid, & functional pediatric transcranial brain imaging using PACT, 09/15/2017 – 05/31/2022, $2,965,224.
  • Zhu Q, Anastasio M, Uddin S, inventors; Washington University, assignee. Systems and Methods of Optimizing Functional Images of a Lesion Region using Guided Diffuse Optical Tomography, United States patent application US 16/649,743. 2020 Aug 20.

Journal Editorships

  • 2020 Co-Editor, Special Section of the Journal of Biomedical Optics: Artificial Intelligence & Machine Learning in Biomedical Optics

Professional Societies

  • International Academy of Medical and Biological Engineering (IAMBE), Fellow

Service on Department Committees

  • 2019 – Present Member, Big Ten Chairs
  • 2019 – Present Member, BMES Council of Chairs
  • 2019 – Present Chair, Promotion & Tenure Committee, Dept. of Bioengineering, UIUC

Service on College Committees

  • 2019 Chair, Director 5-year Review Comm. Health Care Eng. Systems Center
  • 2020 – Present Member, IGB Unit Partners
  • 2019 Search Committee Member, Associate Dean for Facilities & Capital Planning
  • 2019 Search Committee Member, Head, Biomedical and Translational Sciences
  • 2020 – Present co-Chair, Carle-Illinois AI Working Group
  • 2020 – Present Executive Committee, Mayo Clinic Illinois Alliance
  • 2021 – Present Member, NCSA Resource Allocations Committee, UIUC
  • 2019 – Present Member, Carle-Illinois Strategic Affiliation Steering Committee
  • 2020 – 2021 Member, CCIL Program Statement Development Committee
  • 2020 – Present Executive Committee, Mayo Clinic Illinois Alliance
  • 2020 – Present co-Chair, Carle-Illinois AI Working Group
  • 2020 – Present Member, IGB Unit Partners
  • 2019 – Present Member, Jump ARCHES Steering Committee, UIUC
  • 2021 – Present Member, Committee on Associate and Full Professor Feedback and Career Planning, GCOE, UIUC
  • 2021 – Present Member, Beckman Institute Coordinating Committee, UIUC
  • 2022 Member, National Center for Supercomputing Applications (NSCA) Fellows review committee

Other Outside Service

  • 2003 Chairperson, Technical Session: Beam Propagation, Optical Society of America (OSA) Annual Meeting, Tucson, AZ
  • 2004 Organizing Committee, IEEE Medical Imaging Conference (MIC)
  • 2004 Chairperson, New CT-Related Algorithms I, Developments in X-ray Tomography IV, SPIE International Symposium on Optical Science and Technology, Denver, CO
  • 2005 Radiological Society of North America (RSNA) meeting, Chicago, IL
  • 2005 Chairperson, Technical Session: Physics of computed tomography
  • 2006 Chairperson for the technical session: New CT-Related Algorithms I, Developments in X-ray Tomography V, SPIE Optics & Photonics Meeting and SPIE Annual Meeting, San Diego, CA
  • 2006 Chairperson for the technical session: Model – based Inversion, Image Reconstruction from Incomplete Data IV, SPIE Optics & Photonics Meeting and SPIE Annual Meeting, San Diego, CA
  • 2007 Chairperson for the Technical Session: Biomedical Imaging and Optics: Photoacoustic and Multimodality Imaging, 2007 Biomedical Engineering Society (BMES) Annual Meeting, Los Angeles, CA
  • 2007 – Present Organizing Committee, SPIE Conference on Image Reconstruction from Incomplete Data V, within the SPIE International Symposium on Optical Engineering and Applications
  • 2007 – Present Organizing Committee, SPIE Conference on Photons plus Ultrasound: Imaging and Sensing within Photonics West Symposium of SPIE/BIOS
  • 2008 SPIE Photonics West Conference, San Jose, CA
  • 2008 Chairperson for the Technical Sessions: Signal Processing and Image Reconstruction I and II, Photons Plus Ultrasound: Imaging,
  • 2008 Co – organizer for the session: Photoacoustic Tomography and Ultrasound – Mediated Optical Imaging, 2008 Biomedical Engineering Society (BMES) Annual Meeting, St. Louis, MO, October 2 – 4, 2008.
  • 2008 – 2009 Program Chair, 2009 Optical Society of America (OSA) Signal Recovery and Synthesis (SRS) Topical Meeting, San Jose, CA
  • 2009 Chairperson, Special Session: Biomedical Image Reconstruction and Retrieval, IEEE Engineering in Medicine and Biology Conference (EMBC), Minneapolis, MN
  • 2009 Organizer and Chairperson, Special session: X-ray, CT, PET, and SPECT, IEEE Engineering in Medicine and Biology Conference (EMBC), Minneapolis, MN
  • 2009 – 2010 Organizing Committee, 2010 OSA Biomedical Optics (BIOMED) Topical, Meeting, Photoacoustic Imaging and Spectroscopy Session
  • 2010 Chairperson, Special Session: Photoacoustic tomography, 2010 Gordon Research Conference on Lasers in Medicine and Biology, July 25 – 30, 2010, Holderness School, New Hampshire
  • 2011 Chairperson for the Technical Sessions: Signal Processing and Image Reconstruction, Photons Plus Ultrasound: Imaging, SPIE Photonics West Conference, San Francisco, CA
  • 2011 – Present Member, 2011 FiO OSA Subcommittee on Optics in Information Science
  • 2012 Session Chair, World Congress on Medical Physics and Biomedical Engineering
  • 2012 – 2014 W. Wood Prize Committee, Optical Society of America (OSA)
  • 2013 Co – organizer, Signatures Discovery Workshop, May 9 – 10, 2013, Joint Workshop with Pacific Northwest National Laboratory
  • 2015 – Present Organizing Committee, SPIE Conference on Advances in Laboratory-based X-Ray Sources, Optics, and Applications
  • 2015 – Present Organizing Committee, SPIE Conference on Ultrasonic Imaging and Tomography
  • 2015 – Present Organizing Committee, SPIE Conference on Anomaly Detection and Imaging with X-rays (ADIX)
  • 2015 – Present Organizing Committee, SPIE Conference on Computational Imaging
  • 2017 Organizing Committee, International Conference on Sensing and Imaging
  • 2017 Topic Convener for the 2017 IEEE Nuclear Science Symposium.
  • 2018 Organizing Committee, International Conference on Sensing and Imaging
  • 2020 Organizing Committee, SPIE Image Perception, Observer Performance, and Technology Assessment Conference
  • 2020-present, Illinois Institute of Technology Biomedical Engineering, External Advisory Board Member
  • Member, PhD in Biomedical Engineering Program Review, University of Nebraska

Honors

  • 2016 Elected as AIMBE Fellow, Citation: "For outstanding contributions to the development of emerging computed bio-imaging modalities"
  • 2017 Elected as SPIE Fellow (to be inducted in February 2018), Citation: “Achievements in the areas of photoacoustic computed tomography, X-ray phase-contrast imaging, and computational imaging science”
  • 2021 Inducted as IAMBE Fellow, Citation: “For achievements in the areas of computational imaging science and engineering education”

Recent Courses Taught

  • BIOE 501 - Seminar Discussion
  • BIOE 588 - Biomedical Image Computing Cap
  • BIOE 589 - Biomed Img Comp Capstone Prjct
  • BIOE 598 MAA - Theoretical Image Science

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