Analysis of 3D Subharmonic Ultrasound Signals from Patients with Known Breast Masses for Lesion Differentiation.

摘要

The purpose of this award was to help the principle investigator transition into a long term career in breast cancer imaging research through both training and independent research. Training components included regular meetings with both the physician and engineering co-advisors, observation of an NIH funded multi-center breast imaging trial using contrast-enhanced 3D subharmonic breast imaging, and attendance at radiology-based medical and engineering conferences. The research component of this award has produced several advancements in quantitative image processing of dynamic volumetric ultrasound data. Quantitative assessments of the imaging technique (subharmonic ultrasound) were performed in year 1 to compare image quality to current state of the art techniques. Analysis of a large human data set using signal intensity over time was performed in year 2 to better identify vascular morphology in breast masses. Finally, these curves were utilized in year three to quantify blood flow kinetics to better characterize breast masses. The funding provided by this award mechanism has allowed the PI to develop skills necessary for breast imaging research and diversify his research interests. Resultantly, the PI has now transitioned into a career as an independent faculty researcher in the department of Radiology at Thomas Jefferson University.