Analysis of Interval Changes on Mammograms for Computer Aided Diagnosis

Abstract

A multistage regional registration technique was developed for identifying masses on temporal pairs of mammograms. In the first stage, an initial fan-shape search region was defined on the prior mammogram. In the second stage, the location of the fan-shape region was refined by warping, based on an affine transformation and simplex optimization. A new refined search region was defined on the prior mammogram. In the third stage a search for the best match between the lesion template from the current mammogram and a structure on the prior mammogram was carried out within the search region. This technique was evaluated on 124 temporal pairs of mammograms containing biopsy-proven masses. Eighty-seven percent of the estimated lesion locations resulted in an area overlap of at least 50% with the true lesion locations. The average distance between the estimated and the true centroid of the lesions on the prior mammogram was 4.215.7 mm. The registration accuracy was improved in comparison with our previous study that used a data set of 74 temporal pairs of mammograms. This improvement gain is mainly from the local affine transformation. This technique can be useful for identification of corresponding lesions on temporal pairs of mammograms.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2000
Accession Number
ADA386913

Entities

People

  • Lubomir Hadjiiski

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Breast Cancer
  • Computer Vision
  • Computer-Aided Diagnosis
  • Data Sets
  • Databases
  • Electronic Mail
  • Feature Extraction
  • Health Services
  • Image Processing
  • Information Processing
  • Information Science
  • Medical Personnel
  • Pattern Recognition
  • Self Organizing Systems
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Medicine
  • Physics

Readers

  • Mathematics or Statistics
  • Oncology and Biomarker-Based Cancer Detection.
  • Regression Analysis.