Aiguo Han
Aiguo Han
Research Assistant Professor
(217) 244-1167
2058 Electrical & Computer Eng Bldg

For More Information

Education

  • Ph.D. in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2014
  • M.S. in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2011
  • B.S. in Acoustics, Nanjing University, 2008

Research Interests

  • Quantitative ultrasound imaging
  • Machine learning applications in medical imaging
  • Biomedical imaging
  • Ultrasound brain imaging
  • Liver fat quantification using ultrasound
  • Cancer diagnostics using ultrasound
  • Preterm birth risk assessment using ultrasound

Research Areas

Research Topics

Selected Articles in Journals

  • X. Chen, M. R. Lowerison, Z. Dong, A. Han, and P. Song, “Deep learning-based microbubble localization for ultrasound localization microscopy,” accepted by IEEE Trans. Ultrason. Ferroelectr. Freq. Control (in press).
  • J. Jung, A. Han, E. Madamba, R. Bettencourt, R. R. Loomba, A. S. Boehringer, M. P. Andre, J. W. Erdman, Jr., W. D. O’Brien, Jr., K. J. Fowler, C. B. Sirlin, and R. Loomba, “Quantitative ultrasound versus controlled attenuation parameter for liver fat assessment in patients suspected of NAFLD,” accepted by Radiology (in press).
  • M. Byra, A. Han, A. S. Boehringer, Y. N. Zhang, W. D. O’Brien, Jr., J. W. Erdman, Jr., R. Loomba, C. B. Sirlin, and M. P. Andre, “Liver fat assessment in multi-view sonography using transfer learning with convolutional neural networks,” J. Ultrasound Med., vol. 41, pp. 175–184, 2022.
  • A. Han, M. Byra, E. Heba, M. P. Andre, J. W. Erdman, Jr., R. Loomba, C. B. Sirlin, and W. D. O’Brien, Jr., “Noninvasive diagnosis of nonalcoholic fatty liver disease and quantification of liver fat with radiofrequency ultrasound data using one-dimensional convolutional neural networks,” Radiology, vol. 295, no. 2, pp. 342–350, 2020.
  • A. Han, Y. N. Zhang, A. S. Boehringer, V. Montes, M. P. Andre, J. W. Erdman, Jr., R. Loomba, M. A. Valasek, C. B. Sirlin, and W. D. O’Brien, Jr., “Assessment of hepatic steatosis in nonalcoholic fatty liver disease using quantitative ultrasound,” Radiology, vol. 295, no. 1, pp. 106–113, 2020.
  • S. Chen, B. L. McFarlin, B. T. Meagher, T. A. Peters, D. G. Simpson, W. D. O’Brien, Jr., and A. Han, “A phantom-based assessment of repeatability and reproducibility of transvaginal quantitative ultrasound,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 66, pp. 1413–1420, 2019.
  • A. Han, Y. N. Zhang, A. S. Boehringer, M. P. Andre, J. W. Erdman, Jr., R. Loomba, C. B. Sirlin, and W. D. O’Brien, Jr., “Inter-platform reproducibility of ultrasonic attenuation and backscatter coefficients in assessing NALFD,” Eur. Radiol., vol. 29, no. 9, pp. 4699–4708, 2019.
  • J. L. Rowles, A. Han, R. J. Miller, J. R. Kelly, C. C. Applegate, M. A. Wallig, W. D. O’Brien, Jr., and J. W. Erdman, Jr., “Low fat but not soy protein isolate was an effective intervention to reduce nonalcoholic fatty liver disease progression in C57BL/6J mice: monitored by a novel quantitative ultrasound (QUS) method,” Nutr. Res., vol. 63, pp. 95–105, 2019.
  • R. J. Miller, A. Han, J. W. Erdman, Jr., M. A. Wallig, W. D. O’Brien, Jr., “Quantitative ultrasound and the pancreas: Demonstration of early detection capability,” J. Ultrasound Med., vol. 38, pp. 2093–2102, 2019.
  • A. Han, Y. Labyed, E. Z. Sy, A. S. Boehringer, M. P. Andre, J. W. Erdman, Jr., R. Loomba, C. B. Sirlin, and W. D. O’Brien, Jr., “Inter-sonographer reproducibility of quantitative ultrasound outcomes and shear wave speed measured in the right lobe of the liver in adults with known or suspected non-alcoholic fatty liver disease,” Eur. Radiol., vol. 28, no. 12, pp. 4992–5000, 2018.
  • A. Han, M. P. Andre, L. Deiranieh, E. Housman, J. W. Erdman, Jr., R. Loomba, C. B. Sirlin, and W. D. O’Brien, Jr., “Repeatability and reproducibility of the ultrasonic attenuation coefficient and backscatter coefficient measured in the right lobe of the liver in adults with known or suspected nonalcoholic fatty liver disease,” J. Ultrasound Med., vol. 37, no. 8, pp. 1913–1927, 2018.
  • A. Han, “A method for stereological determination of the structure function from histological sections of isotropic scattering media,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 65, no. 6, pp. 1007–1016, 2018.
  • P. Muleki-Seya, A. Han, M. P. Andre, J. W. Erdman, and W. D. O’Brien, Jr., “Analysis of two quantitative ultrasound approaches,” Ultrason. Imaging, vol. 40, no. 2, pp. 84–96, 2018.
  • Y. Zhu, A. Han, W. D. O’Brien, Jr., M. L. Oelze, and M. F. Insana, “Limitations on estimation of effective scatterer diameters,” J. Acoust. Soc. Am., vol. 142, no. 6, pp. 3677–3690, 2017.
  • A. G. B. Cruz, A. Han, E. J. Roy, A. B. Guzmán, R. J. Miller, E. A. Driskell, W. D. O’Brien, Jr., and J. L. Shisler, “Deletion of the K1L gene results in a vaccinia virus that is less pathogenic due to muted innate immune responses, yet still elicits protective immunity,” J. Virol., vol. 91, no. 15, pp. e00542--17, 2017.
  • J. S. Paige, G. S. Bernstein, E. Heba, E. A. C. Costa, M. Fereirra, T. Wolfson, A. C. Gamst, M. A. Valasek, G. Y. Lin, A. Han, J. W. Erdman, Jr., W. D. O’Brien, Jr., M. P. Andre, R. Loomba, and C. B. Sirlin, “A pilot comparative study of quantitative ultrasound, conventional ultrasound, and MRI for predicting histology-determined steatosis grade in adult nonalcoholic fatty liver disease,” Am. J. Roentgenol., vol. 208, no. 5, pp. W168–W177, 2017.
  • A. Han, M. P. Andre, J. W. Erdman, Jr., R. Loomba, C. B. Sirlin, and W. D. O’Brien, Jr., “Repeatability and reproducibility of a clinically based QUS phantom study and methodologies,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 64, no. 1, pp. 218–231, 2017.
  • A. Han and W. D. O’Brien, Jr., “Structure function estimated from histological tissue sections,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 63, no. 9, pp. 1296–1305, 2016.
  • J. Garcia-Duitama, B. Chayer, A. Han, D. Garcia, M. L. Oelze, and G. Cloutier, “Experimental application of ultrafast imaging to spectral tissue characterization,” Ultrasound Med. Biol., vol. 41, no. 9, pp. 2506–2519, 2015.
  • S. C. Lin, E. Heba, T. Wolfson, B. Ang, A. Gamst, A. Han, J. W. Erdman, Jr., W. D. O’Brien, Jr., M. P. Andre, C. B. Sirlin, and R. Loomba, “Noninvasive diagnosis of nonalcoholic fatty liver disease and quantification of liver fat using a new quantitative ultrasound technique,” Clin. Gastroenterol. Hepatol., vol. 13, no. 7, pp. 1337–1345, 2015
  • A. Han and W. D. O’Brien, Jr., “Structure function for high-concentration biophantoms of polydisperse scatterer sizes,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 62, no. 2, pp. 303–318, 2015.
  • A. Han, R. Abuhabsah, R. J. Miller, S. Sarwate, and W. D. O’Brien, Jr., “The measurement of ultrasound backscattering from cell pellet biophantoms and tumors ex vivo,” J. Acoust. Soc. Am., vol. 134, no. 1, pp. 686–693, 2013.
  • A. Han, R. Abuhabsah, J. P. Blue, Jr., S. Sarwate, and W. D. O’Brien, Jr., “Ultrasonic backscatter coefficient quantitative estimates from high-concentration Chinese hamster ovary cell pellet biophantoms,” J. Acoust. Soc. Am., vol. 130, no. 6, pp. 4139–4147, 2011.
  • M. Teisseire, A. Han, R. Abuhabsah, J. P. Blue, Jr., S. Sarwate, and W. D. O’Brien, Jr., “Ultrasonic backscatter coefficient quantitative estimates from Chinese hamster ovary cell pellet biophantoms,” J. Acoust. Soc. Am., vol. 128, no. 5, pp. 3175–3180, 2010.

Articles in Conference Proceedings

  • Y. Wu, L. Lopez, M. P. Andre, R. Loomba, M. A. Valasek, M. A. Wallig, W. D. O’Brien, Jr., and A. Han, “Liver fat droplet dependency on ultrasound backscatter coefficient in nonalcoholic fatty liver,” in 2020 IEEE Int. Ultrason. Symp. (IUS), 2020, pp. 1–4.
  • K. Nagabhushana, W. D. O’Brien, Jr., and A. Han, “Technique to compensate for unknown laminate transmission loss in phantom attenuation measurements,” in 2020 IEEE Int. Ultrason. Symp. (IUS), 2020, pp. 1–4.
  • A. Han, A. S. Boehringer, Y. N. Zhang, V. Montes, M. P. Andre, J. W. Erdman, Jr., R. Loomba, C. B. Sirlin, and W. D. O’Brien, Jr., “Improved assessment of hepatic steatosis in humans using multi-parametric quantitative ultrasound,” in 2019 IEEE Int. Ultrason. Symp. (IUS), 2019, pp. 1–4.
  • R. J. Miller, A. Han, J. W. Erdman, Jr., J. L. Shisler, M. A. Wallig, and W. D. O’Brien, Jr., “Quantitative ultrasound and the pancreas: Demonstration of early detection capability,” in 2017 IEEE Int. Ultrason. Symp. (IUS), 2017, pp. 1–4.
  • P. Muleki-Seya, A. Han, M. P. Andre, J. W. Erdman, Jr., and W. D. O’Brien, Jr., “Comparison of quantitative ultrasound parameters for fat content liver detection and monitoring,” in 2017 IEEE Int. Ultrason. Symp. (IUS), 2017, pp. 1–4.
  • A. Han and W. D. O’Brien, Jr., “Structure function: Theory, ultrasonic measurement, and histology,” in IEEE Int. Ultrason. Symp. (IUS), 2015, pp. 1–4.
  • A. Han, J. W. Erdman, Jr., D. G. Simpson, M. P. Andre, and W. D. O’Brien, Jr., “Early detection of fatty liver disease in mice via quantitative ultrasound,” in 2014 IEEE Int. Ultrason. Symp. (IUS), 2014, pp. 2363–2366.
  • M. P. Andre, A. Han, E. Heba, J. Hooker, R. Loomba, C. B. Sirlin, J. W. Erdman, Jr., and W. D. O’Brien, Jr., “Accurate diagnosis of non-alcoholic fatty liver disease in humans via quantitative ultrasound,” in 2014 IEEE Int. Ultrason. Symp. (IUS), 2014, pp. 2375–2377.
  • J. Garcia-Duitama, A. Han, B. Chayer, D. Garcia, M. L. Oelze, and G. Cloutier, “Experimental validation of plane wave imaging using k-space beamforming for spectral characterization of isotropic media,” 2014 IEEE Int. Ultrason. Symp. (IUS), 2014, pp. 2414–2417.
  • W. D. O’Brien, Jr., A. Han, and T. Auger, “Quantitative ultrasound from single cells to biophantoms to tumors,” in Conf. Proc. IEEE Eng. Med. Biol. Soc. (EMBS), 2012, pp. 1118–1120.

Journal Editorships

  • Scientific Editorial Board (Ultrasound Section) of European Radiology

Other Scholarly Activities

  • Fellow, American Institute of Ultrasound in Medicine (AIUM)
  • Member, Computational Acoustics Technical Specialty Group, Acoustical Society of America
  • Member, RSNA QIBA Committee
  • Member, AIUM/QIBA PEQUS Biomarker Committee
  • Co-chair, AIUM/QIBA PEQUS Backscatter Working Group
  • Member, IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC)
  • Member, Institute of Electrical and Electronics Engineers (IEEE)
  • Member, Acoustical Society of America (ASA)

Honors

  • NIH/NIBIB Trailblazer Award (2022)
  • Fellow, American Institute of Ultrasound in Medicine (AIUM) (2021)
  • Faculty Fellow, National Center for Supercomputing Applications (2021)
  • Young Investigator Travel Grant, 175th Meeting of Acoustical Society of America, Minneapolis (2018)
  • AIUM New Investigator Award in Basic Science (2016)

Public Service Honors

  • IEEE TMI Gold Distinguished Reviewer (2022)

Recent Courses Taught

  • ECE 210 - Analog Signal Processing
  • ECE 211 - Analog Circuits & Systems
  • ECE 313 (MATH 362) - Probability with Engrg Applic
  • ECE 398 AS (ECE 398 ASO) - Progm Mthds - Machine Learning

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