Mike Insana

Mike Insana
Mike Insana
  • Donald Biggar Willett Professor in Engineering
(217) 244-0739
4247 Beckman Institute

For More Information


  • Ph.D. Medical Physics, University of Wisconsin, Madison 1983

Professional Registrations

  • Biomedical Engineering Society, 2008 - 2021

Teaching Statement

Graduate course BIOE 504 "Analytic Methods for Bioengineering" is a core course taken by all bioengineering graduate students. The goal is to review mathematical and computation methods applied to biological systems design and evaluation. It includes linear systems, probability, random processes, differential equations, control systems, and data modeling.

Undergraduate course BIOE 198 "Bioemedical Data Analysis" is an introduction to computing, statistics, and data management based in Matlab.

Resident Instruction

  • BIOE 210 Linear algebra for Biomedical Data Science - 2023 to present
  • BIOE 504 - Analytical Methods in Bioengineering (UIUC) - 2006 to present

Research Statement

Laboratory research focuses on the development of novel ultrasonic instrumentation and methods for imaging soft tissue microstructure, viscoelasticity and blood flow. The goal is to understand basic mechanisms of cancerous lesion formation, metastatic progression, responses to therapy, and sources of image contrast. Research includes the fundamentals of imaging system design and performance evaluation, signal processing, detection and estimation. The lab uses polymer hydrogels to develop models of visco- and poroelastic behavior of soft tissues for cancer imaging. Insana's lab also investigates spatio-temporal filtering for noise reduction and enhanced spatial resolution with applications in breast elasticity imaging and arterial-wall shear-stress estimation.

Graduate Research Opportunities

I now supervise 2 graduate students.

Research Interests

  • Advance perfusion imaging methods
  • Machine learning for medical elasticity imaging
  • Medical imaging systems development particularly for applications breast cancer, vascular disease, and kidney disease. Ultrasonics, signal processing, signal detection, elasticity imaging, soft tissue biomechanics, polymer mechanics, complex system modeling.

Research Areas

  • Complex system modeling
  • Image, video, and multimedia processing and compression
  • Medical imaging systems - particularly for applications in breast cancer and vascular and kidney diseases
  • Polymer mechanics
  • Signal detection
  • Signal detection and estimation
  • Signal processing
  • Soft tissue biomechanics
  • Ultrasound

Research Topics

Books Authored or Co-Authored (Original Editions)

Books Edited or Co-Edited (Original Editions)

  • M.F. Insana and S.A. Wickline (editors), Proceedings of the IEEE, Volume 96, No. 3, Special Issue: "Multimodality Biomolecular Imaging", March Issue 2008.

Selected Articles in Journals

Articles in Conference Proceedings

  • Newman WR, Ghaboussi J, Insana MF, “Improving image quality in a new method of data-driven elastography,” Proc. SPIE 12932, Medical Imaging 2024: Ultrasonic Imaging and Tomography; 12932-9 (6 pages), 2024.
  • Zhou Y, Wang K, Zhang K, Wan M, Fatemi M, Insana MF, Zhang H, “Deep reinforcement learning of Kelvin-Voigt fractional derivative parameters for viscoelastic imaging,” Proc IEEE Ultrasonics Symposium, 4 pages, Venice, Italy, October 10-13, 2022.
  • Dai B, Babaei S, Abbey CK, Insana MF, “Registration methods in power Doppler ultrasound for peripheral perfusion imaging,” SPIE Medical Imaging, MI-108. 15 pages. San Diego CA, February 20-24, 2022.
  • Zhou Y, Wang K, Zhang K, Wan M, Fatemi M, Insana MF, Zhang H, “Deep reinforcement learning of KVFD viscoelastic imaging parameters,” Proc IEEE Ultrasonics Symposium, 4 pages, Xi’an, China (virtual) September 12-16, 2021.
  • Insana MF, "Statistical ultrasonics: the influence of Robert F. Wagner," Proc SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, vol. 7263, pp. 72630E1-6, 2009.

Pending Articles

  • Babaei S, Dobrucki WL, Phillips H, Insana MF. “Power-Doppler ultrasound for monitoring peripheral muscle perfusion in a porcine model of progressive hindlimb ischemia,” J. Med. Imaging, (in review).

Journal Editorships

  • Editor-in-Chief, IEEE Trans Medical Imaging (2015-2020).

Professional Societies

  • Americal Institute of Medical and Biological Engineers, 2006-
  • Institute of Physics, 1999-
  • Institute of Electrical and Electronic Engineers (IEEE), 1985-
  • Acoustical Society of America (ASA), 1982-

Service on Department Committees

  • Interim Department Head, Bioengineering (2008-2010)


  • Life Fellow of the IEEE - 2020 (2020)
  • Fellow of the Acoustical Society of America - 2009
  • Fellow of the Institute of Physics - 1999

Recent Courses Taught

  • BIOE 198 MI - Biomedical Data Analysis
  • BIOE 210 - Linear Alg for Biomed Data Sci
  • BIOE 483 - Biomed Computed Imaging System
  • BIOE 483 - Biomedical Imaging Physics & S
  • BIOE 497 MFI (BIOE 497 MI2) - Individual Study
  • BIOE 504 - Analytical Methods in Bioeng
  • BIOE 571 - Biological Measurement I