Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116053
