Research

Research Statement Overview

My research focuses on developing computational ultrasound imaging techniques that treat image formation and reconstruction as inverse problems rooted in wave physics. My work spans conventional pulse-echo ultrasound and an emerging modality known as ultrasound [computed] tomography (UST/USCT), which records the transmission of ultrasound through tissue. Clinical applications include breast cancer screening, point-of-care assessment of acute neurological conditions, and quantitative imaging of the liver.

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Pulse-Echo Ultrasound

Sound Speed Estimation

Inverse problem of reconstructing the sound speed profile of tissue from limited-angle pulse-echo data

Aberration Correction

Aberration correction for pulse-echo ultrasound imaging and beamforming

Wave-Equation Migration

Reverse-Time Migration, Fourier/Stolt Mapping, and Frequency-Domain Beamforming

Full-Waveform Inversion (FWI) for UST/USCT

3D FWI

Fast, scalable, and accurate implementations/approximations of the 3D wave equation + UST/USCT systems to support 3D FWI

Making FWI Robust Against False Minima

Variants of FWI robust against false minima caused by cycle skipping

Multiparametric and Elastic FWI

Extending the wave physics model and FWI to reconstruct multiple tissue mechanical properties

Clinical Applications

Breast Cancer Screening

Low-cost, quantitative, high-resolution, and ionizing-radiation-free imaging of the whole breast based on ultrasound computed tomography

Transcranial Imaging

Whole-brain transcranial ultrasound computed tomography for rapid point-of-care assessment of acute neurological conditions

Quantitative Liver Imaging

Pulse-echo ultrasound-based liver fat fraction assessment based on quantitative sound speed estimation and aberration correction