A system for knowledge-based boundary detection of cardiac magnetic resonance image sequences

Author

Suh, Doug ; Mersereau, Russell ; Eisner, Robert ; Pettigrew, Roderic

Author_Institution

Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

fYear

1990

fDate

3-6 Apr 1990

Firstpage

2341

Abstract

A knowledge-based system is described for boundary detection from magnetic resonance image sequences of a beating heart. It is shown that the Dempster/Shafer theory and fuzzy set theory can be used for control of the system as well as for labeling objects in the images. The quality of the images is measured for ordering the images in boundary detection. The performance of the various knowledge sources is evaluated for learning from experience. These approaches provide the system with top-down feedback functions that can be utilized for more efficient use of limited computational resources. The basic structure of the system and the function of each component is described. The performance of the components is presented with some examples

Keywords

biomedical NMR; cardiology; computerised picture processing; fuzzy set theory; knowledge based systems; medical diagnostic computing; Dempster/Shafer theory; beating heart; cardiac magnetic resonance image sequences; fuzzy set theory; image quality; knowledge-based boundary detection; knowledge-based system; medical diagnostic images; top-down feedback functions; Control systems; Data mining; Feedback; Fuzzy set theory; Heart; Hospitals; Image sequences; Knowledge based systems; Labeling; Laboratories; Magnetic resonance; Magnetic resonance imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.116053

Filename

116053