World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
51
Citations
10947
World Ranking
3815
National Ranking
1117

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to ultrasound imaging methods, particularly elastography
  • 2007 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Michael F. Insana is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans medicine and engineering with significant contributions evident in two main fields of study: medicine, with 25 publications, and engineering, with 23 publications.

The scientist's work extensively covers subfields including Radiology, Nuclear Medicine and Imaging (16 publications), Biomedical Engineering (13 publications), Mechanics of Materials (4 publications), Electrical and Electronic Engineering (4 publications), and Cell Biology (2 publications).

Research topics regularly addressed by Michael F. Insana include:

  • Ultrasound Imaging and Elastography
  • Elasticity and Material Modeling
  • Ultrasonics and Acoustic Wave Propagation
  • Ultrasound and Hyperthermia Applications
  • Electrical and Bioimpedance Tomography
  • Cellular Mechanics and Interactions
  • Photoacoustic and Ultrasonic Imaging

They have authored a number of research papers, with recent notable publications such as:

  • Fluidity and elasticity form a concise set of viscoelastic biomarkers for breast cancer diagnosis based on Kelvin-Voigt fractional derivative modeling, 2020, Biomechanics and Modeling in Mechanobiology
  • Imaging the Landmarks of Vascular Recovery, 2020, Theranostics
  • Physics-guided machine learning for 3-D quantitative quasi-static elasticity imaging, 2020, Physics in Medicine and Biology
  • Solutions to ramp-hold dynamic oscillation indentation tests for assessing the viscoelasticity of hydrogel by Kelvin-Voigt fractional derivative modeling, 2020, Mechanics of Materials
  • Multi-parameter Sub-Hertz Analysis of Viscoelasticity With a Quality Metric for Differentiation of Breast Masses, 2020, Ultrasound in Medicine & Biology

The scientist has collaborated frequently with authors including Cameron Hoerig, Jamshid Ghaboussi, Hongmei Zhang, Lawrence W. Dobrucki, and Yiliang Wang.

Key venues for their publications include Mechanics of Materials, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Ultrasound in Medicine & Biology, SSRN Electronic Journal, and Biomechanics and Modeling in Mechanobiology.

Michael F. Insana has contributed to academic literature beyond articles, with a book published by Cambridge University Press entitled Biomedical Measurement Systems and Data Science in 2021.

Awards received include being named an IEEE Fellow in 2012 for contributions to ultrasound imaging methods, particularly elastography, and Fellowship in the Indian National Academy of Engineering (INAE) in 2007.

Best Publications

  • Selected methods for imaging elastic properties of biological tissues.

    James F. Greenleaf;Mostafa Fatemi;Michael Insana

  • Thyroid gland tumor diagnosis at US elastography

    Andrej Lyshchik;Tatsuya Higashi;Ryo Asato;Shinzo Tanaka

  • Phantom materials for elastography

    T.J. Hall;M. Bilgen;M.F. Insana;T.A. Krouskop

  • Describing small-scale structure in random media using pulse-echo ultrasound.

    Michael F. Insana;Robert F. Wagner;David G. Brown;Timothy J. Hall

  • Statistical properties of radio-frequency and envelope-detected signals with applications to medical ultrasound.

    Robert F. Wagner;Michael F. Insana;David G. Brown

  • Analysis of ultrasound image texture via generalized rician statistics

    Michael F. Insana;Robert F. Wagner;Brian S. Garra;David G. Brown

  • Fundamental correlation lengths of coherent speckle in medical ultrasonic images

    R.F. Wagner;M.F. Insana;S.W. Smith

  • 2-D companding for noise reduction in strain imaging

    P. Chaturvedi;M.F. Insana;T.J. Hall

  • Parametric ultrasound imaging from backscatter coefficient measurements: image formation and interpretation

    Michael F. Insana;Timothy J. Hall

  • Method of data reduction for accurate determination of acoustic backscatter coefficients

    Ernest L. Madsen;Michael F. Insana;James A. Zagzebski

  • Application of autoregressive spectral analysis to cepstral estimation of mean scatterer spacing

    K.A. Wear;R.F. Wagner;M.F. Insana;T.J. Hall

  • Ultrasound elastography based on multiscale estimations of regularized displacement fields

    C. Pellot-Barakat;F. Frouin;M.F. Insana;A. Herment

  • Unified Approach to the Detection and Classification of Speckle Texture in Diagnostic Ultrasound.

    Robert F. Wagner;Michael F. Insana;David G. Brown

  • Testing the limitations of 2-D companding for strain imaging using phantoms

    P. Chaturvedi;M.F. Insana;T.J. Hall

  • Viscoelastic imaging of breast tumor microenvironment with ultrasound.

    Michael F. Insana;Claire Pellot-Barakat;Mallika Sridhar;Karen K. Lindfors

  • Ultrasonic Viscoelasticity Imaging of Nonpalpable Breast Tumors: Preliminary Results

    Yupeng Qiu;Mallika Sridhar;Jean K. Tsou;Karen K. Lindfors

  • Deformation models and correlation analysis in elastography

    Mehmet Bilgen;Michael F. Insana

  • Quantitative ultrasonic detection and classification of diffuse liver disease. Comparison with human observer performance.

    Brian S. Garra;Michael F. Insana;Thomas H. Shawker;Thomas H. Shawker;Robert F. Wagner

  • Theoretical bounds on strain estimation in elastography

    I. Cespedes;M. Insana;J. Ophir

  • An ultrasound research interface for a clinical system

    M. Ashfaq;S.S. Brunke;J.J. Dahl;H. Ermert

  • Errata - An ultrasound research interface for a clinical system

    Shelby S. Brunke;Michael Insana;Michael Insana;Jeremy J. Dahl;Christian Hansen

Frequent Co-Authors

Timothy J. Hall
Timothy J. Hall University of Wisconsin–Madison
Craig K. Abbey
Craig K. Abbey University of California, Santa Barbara
Jamshid Ghaboussi
Jamshid Ghaboussi University of Illinois at Urbana-Champaign
Reza Momenan
Reza Momenan National Institutes of Health
Stephen W. Smith
Stephen W. Smith Duke University
James A. Zagzebski
James A. Zagzebski University of Wisconsin–Madison
Ernest L. Madsen
Ernest L. Madsen University of Wisconsin–Madison
Stephen A. Boppart
Stephen A. Boppart University of Illinois at Urbana-Champaign
Mostafa Fatemi
Mostafa Fatemi Mayo Clinic
Scott I. Simon
Scott I. Simon University of California, Davis

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