Mammogram Screening by Automated Followup: A Feasibility Study

Abstract

This report addresses the problem of image registration in cases where pixel-to-pixel correspondence can't be established. Specifically the interest is in images containing 3-D elastic and nonstructured objects whose appearance varies with acquisition parameters. The work is motivated by the problem of mammogram screening based on comparison between mammograms of the same patient acquired in different screenings. Misregistration between temporally spaced screenings arises from minor differences in 3-D positioning and compression, as well as, normal changes in tissue that are a function of time. The objective is to identify corresponding regions in two images, similarly to what is done by medical experts. The locations of the regions are determined based on the locations of identifiable landmark points, and each corresponding region's extent is determined by characteristics of the older mammogram.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1998
Accession Number
ADA353895

Entities

People

  • Dragana Brzakovic

Organizations

  • Lehigh University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Animals
  • Biomedical Research
  • Computer Vision
  • Coverings
  • Detection
  • Feasibility Studies
  • Fuzzy Sets
  • Image Segmentation
  • Intensity
  • Laboratory Animals
  • Materials
  • Recombinant Dna
  • Set Theory
  • Splitting
  • Steady State
  • Test And Evaluation

Fields of Study

  • Medicine
  • Physics

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.

Technology Areas

  • Space
  • Space - Space Objects