Analyzing the performance of ultrasonic B-mode imaging for breast lesion diagnosis

Sara Bahramian, Craig K. Abbey, Michael F. Insana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We studied the efficiency of transferring task information from each stage of the ultrasonic imaging to another by computing the total task energy available at each stage. We computed the task-energy efficiency for the B-mode data with respect to RF data as an expression to predict performance efficiency. We also measured performance efficiency of B-mode image observers with that of ideal observer of the RF data using both analytical SNR expressinos and Monte-Carlo expreriment over a range of visual tasks related to breast lesion diagnosis. The performance efficiency results are compared with the prediction from task-energy efficiency and information efficiency. It is shown that task-energy efficiency can closely predict the performance efficiency especially for large-area tasks.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2014
Subtitle of host publicationPhysics of Medical Imaging
PublisherSPIE
ISBN (Print)9780819498267
DOIs
StatePublished - Jan 1 2014
EventMedical Imaging 2014: Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 17 2014Feb 20 2014

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9033
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2014: Physics of Medical Imaging
CountryUnited States
CitySan Diego, CA
Period2/17/142/20/14

Keywords

  • B-mode Data
  • Matched Filter
  • Observer Efficiency
  • Smith-Wagner Model Observer
  • SNR Analysis

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Analyzing the performance of ultrasonic B-mode imaging for breast lesion diagnosis'. Together they form a unique fingerprint.

Cite this