Aiguo Han

Lab

Biomedical Ultrasound Research Group (BURG)

Research Areas

• Biomedical Imaging
  
• Neuroengineering
• Translational Cancer Research

Research Interests

• Ultrasound imaging
• Machine learning in ultrasound imaging and diagnostics
• Transcranial ultrasound brain imaging and neuromodulation
• Quantitative ultrasound
• Simulation and modeling of ultrasonic wave propagation in biological tissues
• Clinical applications of biomedical ultrasound (e.g., noninvasive liver fat quantification, cancer diagnosis, tumor characterization, and preterm birth risk assessment)

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

Honors, Awards, and Service

• NIH NIBIB Trailblazer Award (2022)
• IEEE TMI Gold Distinguished Reviewer (2022)
• Fellow, American Institute of Ultrasound in Medicine (AIUM) (2021)
• Faculty Fellow, National Center for Supercomputing Applications, UIUC (2021)
• Young Investigator Travel Grant, 175th Meeting of Acoustical Society of America, Minneapolis (2018)
• AIUM New Investigator Award in Basic Science (2016)
• Member, IEEE UFFC IUS Medical Ultrasonics Technical Program Committee (2022-2025)
• Member, AIUM Bioeffects Committee (2022-2025)
• Member, RSNA QIBA Committee (2020-present)
• Co-chair, AIUM/QIBA PEQUS Backscatter Working Group (2020-present)
• Member of Scientific Editorial Board (Ultrasound Section), European Radiology (2019-present)

Selected Publications

K. Nagabhushana, Q. Wang, and A. Han, “Pulse-echo technique to compensate for laminate membrane transmission loss in phantom-based ultrasonic attenuation coefficient measurements,” J. Ultrasound Med., vol. 42, pp. 45–58, 2023.

X. Chen, M. R. Lowerison, Z. Dong, A. Han, and P. Song, “Deep learning-based microbubble localization for ultrasound localization microscopy,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 69, no. 4, pp. 1312–1325, 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. (This paper was featured in an editorial in Radiology.)

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 NAFLD,” Eur. Radiol., vol. 29, no. 9, pp. 4699–4708, 2019.

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.

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. (Editor’s Selection of Articles - Oct 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.

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.

View full bibliography here