Overview
Mark L. Palmeri received his B.S. degree in Biomedical and Electrical Engineering from Duke University, Durham, NC, in 2000. He was a James B. Duke graduate fellow and received his Ph.D. degree in Biomedical Engineering from Duke University in 2005 and his M.D. degree from the Duke University School of Medicine in 2007. He is currently a Professor of the Practice in Biomedical Engineering and Anesthesiology at Duke University. He is an Associate Editor for Ultrasound in Medicine and Biology and he serves as a member of the RSNA Quantitative Imaging Biomarker Alliance (QIBA) committee for ultrasound shear wave speed imaging. His research interests include acoustic radiation force shear wave elasticity imaging, ultrasonic imaging, finite element analysis of soft tissue response to acoustic radiation force excitation, medical image processing, deep learning and medical instrumentation design.
Current Appointments & Affiliations
Professor of the Practice in the Department of Biomedical Engineering
·
2020 - Present
Biomedical Engineering,
Pratt School of Engineering
Assistant Research Professor of Anesthesiology
·
2010 - Present
Anesthesiology,
Clinical Science Departments
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
Medical Scientist Training Program
Inst. Training Prgm or CMEPreceptor · Awarded by National Institute of General Medical Sciences · 2022 - 20273D Shearwave Elasticity Biomarker Development for Neuromuscular Disease
ResearchCo Investigator · Awarded by National Institutes of Health · 2022 - 2025mHealth Tympanometer: A Digital Innovation to Address Preventable Childhood Hearing Loss in Low- and Middle -Income Countries
ResearchPrincipal Investigator · Awarded by University of Arkansas for Medical Sciences · 2022 - 2025View All Grants
Education, Training & Certifications
Duke University ·
2007
M.D.
Duke University ·
2005
Ph.D.
Duke University ·
2000
B.S.E.