Computer-Aided Diagnosis and Feature-Guided Data Reduction Systems in Mammography
Annual rept. 23 Sep 97-22 Sep 98
MICHIGAN UNIV ANN ARBOR
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The goals of this project are 1 Implement and evaluate a computer-aided diagnosis CAD system to assist radiologists in mammographic interpretation. 2 Develop and evaluate a feature-guided data compression technique to facilitate implementation of digital mammography. For the first sub-project, we plan to implement our CAD algorithms for detection and classification of microcalcifications in a high speed workstation, develop user interface for efficient operation of the CAD programs, and perform a pilot clinical trial. For the second sub-project, we plan to evaluate and select the most efficient lossless and lossy data compression techniques that can provide maximum compression ratio without noticeable loss of information for mammography. In the second year of the funding period, we have performed the following studies 1 completion of the graphical user interface GUl development based on a PC which is networked to the CAD system, 2 improvement and implementation of the mass detection program in the CAD system, 3 continue the improvement and implementation of the microcalcification detection program, 4 quantitative evaluation of the data compression methods for mammograms, and 5 design methods and programs for data collection and data analysis for the pilot clinical trial. These studies are the necessary steps to accomplish the goals of this project.
- Medicine and Medical Research