Automated Analysis and Display of Temporal Sequences of Mammograms

Abstract

Although screening for breast cancer has been effective in detecting cancers, it is not clear that the diagnostic information present in sequences of screening exams is currently being utilized. This project has integrated several novel technologies into a system for providing mammographers with information about changing tissue patterns derived from temporal sequences of images. Our hypotheses are: 1) Sequences of screening mammograms contain information about tissue changes that is not otherwise being exploited in the diagnosis of breast cancer; and, 2) Changing tissue patterns can automatically be identified, and correlated with diagnostic questions. To date, all tasks described in the statement of work have been completed. This was a development project and no evaluation of efficacy was proposed, but the subjective assessments of radiologists are being solicited.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2006
Accession Number
ADA457451

Entities

People

  • Walter F. Good

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Biomedical Research
  • Breast Cancer
  • Cancer
  • Coordinate Systems
  • Data Analysis
  • Detection
  • Display Systems
  • Health Care
  • Medical Personnel
  • Neoplasms
  • Neural Networks
  • Physicians
  • Sequences
  • Software Development
  • Test And Evaluation

Fields of Study

  • Medicine
  • Physics

Readers

  • Oncology and Biomarker-Based Cancer Detection.
  • Systems Analysis and Design