TY - GEN
T1 - Automatic boundary detection on cardiac magnetic resonance image sequences for four dimensional visualization of the left ventricle
AU - Suh, Doug Y.
AU - Mersereau, Russell M.
AU - Eisner, Robert L.
AU - Pettigrew, Roderic I.
PY - 1990
Y1 - 1990
N2 - The authors describe a knowledge-based system for detecting the interior and exterior boundaries of the left ventricle (LV) from time-varying cross-sectional images of the beating heart obtained noninvasively by magnetic resonance imaging (MRI). The system automatically classifies and measures cardiac function through estimates of LV wall thickness, wall motion, etc. The system is knowledge based and it makes use of Dempster-Shafer theory to manage the knowledge. This theory is also used to control the flow of system information for more efficient use of limited computational resources and memory space.
AB - The authors describe a knowledge-based system for detecting the interior and exterior boundaries of the left ventricle (LV) from time-varying cross-sectional images of the beating heart obtained noninvasively by magnetic resonance imaging (MRI). The system automatically classifies and measures cardiac function through estimates of LV wall thickness, wall motion, etc. The system is knowledge based and it makes use of Dempster-Shafer theory to manage the knowledge. This theory is also used to control the flow of system information for more efficient use of limited computational resources and memory space.
UR - https://www.scopus.com/pages/publications/0025535927
M3 - Conference contribution
AN - SCOPUS:0025535927
SN - 0818620390
T3 - Proceedings of the First Conference on Visualization in Biomedical Computing
SP - 149
EP - 156
BT - Proceedings of the First Conference on Visualization in Biomedical Computing
PB - Publ by IEEE
T2 - Proceedings of the First Conference on Visualization in Biomedical Computing - VBC '90
Y2 - 22 May 1990 through 25 May 1990
ER -