Overview
The goals of our laboratory are to investigate and improve ultrasonic imaging methods for clinically-relevant problems. We do this through theoretical, experimental, and simulation methods. The main focus of our recent work is the development of novel, acoustic radiation force impulse (ARFI)-based elasticity imaging methods to generate images of the mechanical properties of tissue, involving interdisciplinary research in ultrasonics and tissue biomechanics. We have access to the engineering interfaces of several commercial ultrasound systems which allows us to design, rapidly prototype, and experimentally demonstrate custom sequences to explore novel beamforming and imaging concepts. We employ FEM modeling methods to simulate the behavior of tissues during mechanical excitation, and we have integrated these tools with ultrasonic imaging modeling tools to simulate the ARFI imaging process. We maintain strong collaborations with the Duke University Medical Center where we work to translate our technologies to clinical practice. The ARFI imaging technologies we have developed have served as the basis for commercial imaging technologies that are now being used in clinics throughout the world. We are also studying the risks and benefits of increasing acoustic output energy for specific clinical imaging scenarios, with the goal of improving ultrasonic image quality in the difficult-to-image patient.
Current Appointments & Affiliations
Theo Pilkington Distinguished Professor of Biomedical Engineering
·
2019 - Present
Biomedical Engineering,
Pratt School of Engineering
Professor in the Department of Biomedical Engineering
·
2016 - Present
Biomedical Engineering,
Pratt School of Engineering
Member of the Duke Cancer Institute
·
2016 - Present
Duke Cancer Institute,
Institutes and Centers
Bass Fellow
·
2018 - Present
Biomedical Engineering,
Pratt School of Engineering
Recent Publications
Clinical Feasibility of 3-D Acoustic Radiation Force Impulse (ARFI) Imaging for Targeted Prostate Biopsy Guidance.
Journal Article Ultrason Imaging · March 2025 We have developed a 3-D acoustic radiation force impulse (ARFI) prostate imaging system to identify regions suspicious for cancer and guide a targeted prostate biopsy in a single visit. The system uses a side-fire transrectal probe and an automated rotatio ... Full text Link to item CiteParameterization of the stress-strain relation for modeling wave propagation in nearly incompressible transversely isotropic materials.
Journal Article The Journal of the Acoustical Society of America · December 2024 The stress-strain relation in a transversely isotropic (TI) material is described by five independent parameters. In the incompressible limit, only three parameters are required to describe shear wave propagation. Existing material parameterization models ... Full text CiteMultiparametric Ultrasound Imaging of Prostate Cancer Using Deep Neural Networks.
Journal Article Ultrasound Med Biol · November 2024 OBJECTIVE: A deep neural network (DNN) was trained to generate a multiparametric ultrasound (mpUS) volume from four input ultrasound-based modalities (acoustic radiation force impulse [ARFI] imaging, shear wave elasticity imaging [SWEI], quantitative ultra ... Full text Link to item CiteRecent Grants
Developing a Novel Clinical Care Model for Chronic Patellar Tendinopathy Utilizing Whole Person Healthcare
ResearchCo-Mentor · Awarded by National Institute of Arthritis and Musculoskeletal and Skin Diseases · 2023 - 20283D Shearwave Elasticity Biomarker Development for Neuromuscular Disease
ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2022 - 2025Matrix Transducer for 3D-SWEI Hepatic Imaging
ResearchPrincipal Investigator · Awarded by Acoustiic Inc · 2023 - 2024View All Grants
Education, Training & Certifications
Duke University ·
1997
Ph.D.
Duke University ·
1989
B.S.