Accession Number : ADA317908

Title :   Improved Mammographic Technique for Breast Cancer Diagnosis.

Descriptive Note : Annual rept. 11 Jul 95-10 Jul 96,

Corporate Author : MICHIGAN UNIV ANN ARBOR

Personal Author(s) : Chan, Heang-Ping

PDF Url : ADA317908

Report Date : AUG 1996

Pagination or Media Count : 25

Abstract : The goal of the proposed research is to improve the sensitivity of cancer detection in mixed or dense breasts through optimization of mammographic techniques. We propose to develop a novel exposure equalization system that preferentially reduces the incident x-ray intensity in the peripheral region of the breast, thereby alleviating the problem of limited latitude of x-ray detectors. Optimal imaging technique can then be developed for improving image quality throughout the entire breast. We have performed the following studies in the second year of the funding period: (1) collected a large data base for analysis of breast shapes and exposure profiles, (2) evaluated the accuracy of the automated breast border detection program, (3) evaluated the adequacy of two polynomial models for fitting the breast shapes and classification, (4) developed a clustering procedure for classifying the breast shapes into a small number of classes, (5) developed an automated breast shape classification program to prepare for on-line analysis of patient breast shape, (6) developed a Monte Carlo simulation model for mammographic imaging (7) evaluated experimentally and by Monte Carlo simulation the scatter fraction on the imaging plane and studied the primary exposure profiles in a given breast shape class. The results of these studies will be useful for the implementation of the filter device as planned in the future years.

Descriptors :   *DIAGNOSIS(MEDICINE), *BREAST CANCER, *MAMMOGRAPHY, DATA BASES, SIMULATION, OPTIMIZATION, DETECTION, MODELS, SHAPE, INTENSITY, MONTE CARLO METHOD, X RAYS, CLUSTERING, PROFILES, IMAGE INTENSIFICATION, IMAGES, POLYNOMIALS, CLASSIFICATION, EXPOSURE(PHYSIOLOGY), ONLINE SYSTEMS, MAMMARY GLANDS, LATITUDE, EQUALIZATION.

Subject Categories : Information Science
      Anatomy and Physiology
      Medicine and Medical Research
      Numerical Mathematics
      Computer Programming and Software
      Optics

Distribution Statement : APPROVED FOR PUBLIC RELEASE