Computerized Interpretation of Dynamic Breast MRI

Abstract

One of the most important obstacles of clinical application of breast MRI is the lack of standardization in terms of interpretation guidelines. The purpose of the proposed research is to develop computerized methods to take full advantage of the wealth information that dynamic MRI of the breast offers to improve methods for the diagnosis and prognosis of breast cancer. The research involves investigation of automatic methods for image artifacts correction, tumor segmentation, and extraction of computerized features that help distinguish between benign and malignant lesions. During the first year, we have collected and maintained a dynamic breast MRI database that is well suitable for the proposed research on computerized interpretation of breast MR images. We have developed computerized methods for correction of shading artifacts, tumor segmentation, and feature extraction. The results have shown that computerized analysis and interpretation methods have great promise in increasing the objectivity, efficiency, and accuracy of the diagnosis of breast cancer.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA439187

Entities

People

  • Maryellen Lissak Giger
  • Weijie Chen

Organizations

  • University of Chicago

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Breast Cancer
  • Computer Vision
  • Databases
  • Diagnostic Imaging
  • Electronic Mail
  • Feature Extraction
  • Image Processing
  • Imaging Techniques
  • Information Processing
  • Information Science
  • Magnetic Resonance
  • Neoplasms
  • Pattern Recognition
  • Three Dimensional
  • Time Intervals

Fields of Study

  • Medicine

Readers

  • Medical Imaging.
  • Systems Analysis and Design

Technology Areas

  • AI & ML