Accession Number : ADA291597

Title :   Clinical Optimization of Current Digital Mammography Systems.

Descriptive Note : Annual rept. 15 Dec 93-14 Dec 94,

Corporate Author : GEORGETOWN UNIV WASHINGTON DC

Personal Author(s) : Freedman, Matthew

PDF Url : ADA291597

Report Date : 14 JAN 1995

Pagination or Media Count : 11

Abstract : At the start of this project in the clinical optimization of digital mammography systems, these systems had not been shown to have adequate quality for clinical use. In the first year of this project we worked on image processing optimization and demonstrated that additional developments were needed. During the second year we continued our testing and were able to produce images in geometric test objects that exceeded the conspicuity of small objects of conventional mammography. At the same time we were able to produce in a limited number of cases digital mammograms that appear to be equal to or better than conventional mammography. In the third year we will be testing these new methods in a clinical trial to demonstrate that they are likely equal to or perhaps better than conventional mammography in the detection of objects associated with small breast cancers.

Descriptors :   *CLINICAL MEDICINE, *DIAGNOSIS(MEDICINE), *COMPUTER GRAPHICS, *COMPUTER AIDED DIAGNOSIS, *CANCER, TEST AND EVALUATION, IMAGE PROCESSING, OPTIMIZATION, DETECTION, GEOMETRY, MAMMARY GLANDS.

Subject Categories : Medicine and Medical Research
      Cybernetics
      Computer Systems

Distribution Statement : APPROVED FOR PUBLIC RELEASE