Computer-Aided Diagnosis and Feature-Guided Data Reduction Systems in Mammography
Abstract
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 in three mammographic screening sites. For the second sub-project, we plan to evaluate different data compression techniques. We will select the most efficient loss less technique and the lossy technique that can provide maximum compression ratio without noticeable loss of information for mammography. In the first year of the funding period, we have performed the following studies: (1) development of a graphical user interface (GUI) for the CAD, (2) conversion of CAD software from VMS to UNIX operating system, (3) improvement in the automated algorithms for detection of masses and microcalcifications, (4) study of data compression methods for mammograms, and (5) design methods for data collection and data analysis for the pilot clinical trial. These studies are the necessary steps to accomplish the goals of this project.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 1997
- Accession Number
- ADA336818
Entities
People
- Heang-Ping Chan
Organizations
- University of Michigan