Gregg Trahey, PhD

Robert Plonsey Distinguished Professor of Biomedical Engineering
Professor of Biomedical Engineering
Professor in Radiology
Bass Fellow
Address: 275 Engineering Annex
Durham, NC 27708
Phone: (919) 660-5169
Email: gregg.trahey@duke.edu

Research Interests

My laboratory develops and evaluates novel ultrasonic imaging methods. Current projects involve high resolutioon imaging of the breast and mechanical characterization of the breast and cardiovascular system. We conduct phantom, animal, ex vivo and in vivo trials. Current clinical trials involve imaging of soft and hard vascular plaques and mecahnical imaging of breast lesions.

Publications

Ahmed, Rifat, et al. “Reverberation Clutter Suppression Using 2-D Spatial Coherence Analysis.Ieee Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 69, no. 1, Jan. 2022, pp. 84–97. Epmc, doi:10.1109/tuffc.2021.3108059.

Offerdahl, Katelyn, et al. “Occult Regions of Suppressed Coherence in Liver B-Mode Images.Ultrasound Med Biol, vol. 48, no. 1, Jan. 2022, pp. 47–58. Pubmed, doi:10.1016/j.ultrasmedbio.2021.09.007.

Long, James, et al. “Frequency-Dependent Spatial Coherence in Conventional and Chirp Transmissions.Ieee Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 68, no. 5, May 2021, pp. 1707–20. Epmc, doi:10.1109/tuffc.2021.3050120.

Bottenus, Nick, et al. “Resolution and Speckle Reduction in Cardiac Imaging.Ieee Trans Ultrason Ferroelectr Freq Control, vol. 68, no. 4, Apr. 2021, pp. 1131–43. Pubmed, doi:10.1109/TUFFC.2020.3034518.

Huber, M., et al. “Mechanisms affecting ALARA MI selected in adaptive ultrasound imaging.” Ieee International Ultrasonics Symposium, Ius, 2021. Scopus, doi:10.1109/IUS52206.2021.9593860.

Flint, Katelyn, et al. “An Automated ALARA Method for Ultrasound: An Obstetric Ultrasound Feasibility Study.J Ultrasound Med, Dec. 2020. Pubmed, doi:10.1002/jum.15570.

Morgan, Matthew R., et al. “Intrinsic Tradeoffs in Multi-Covariate Imaging of Sub-Resolution Targets.Ieee Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 67, no. 10, Oct. 2020, pp. 1980–92. Epmc, doi:10.1109/tuffc.2020.2993241.

Huang, O., et al. “UltraNet: Deep Learning Tools for Modeling Acoustic Wall Clutter.” Ieee International Ultrasonics Symposium, Ius, vol. 2020-September, 2020. Scopus, doi:10.1109/IUS46767.2020.9251465.