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

Abstract

The purpose of this award is to help the principle investigator transition into a long term career in breast cancer imaging research through both training and independent research. The training component of this research has been split into breast imaging and image processing arms. Work within the breast imaging arm has included observation of an NIH funded multicenter breast imaging trial using contrast-enhanced 3D subharmonic imaging for the characterization of mammographically identified breast masses. Clinical training has also included time spent observing breast radiologists perform reads, case and research conferences, and reading breast imaging texts. Within the image processing training component, a Matlab programming training course and separate image processing course were attended and this programming language will be used for the research component of this project.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2012
Accession Number
ADA570988

Entities

People

  • John R Eisenbrey

Organizations

  • Thomas Jefferson University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Biomedical Research
  • Blood
  • Blood Flow
  • Blood Vessels
  • Breast Cancer
  • Computer Programming
  • Contrast
  • Image Processing
  • Images
  • Language
  • Medical Personnel
  • Neoplasms
  • Observation
  • Physicians
  • Three Dimensional
  • Ultrasounds

Fields of Study

  • Medicine
  • Physics

Readers

  • Clinical Trial Research.
  • Image Processing and Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.