endocardial segmentation, relaxation algorithm, Cine CT
A relaxation algorithm has been developed for automated segmentation of the endocardial surface from contrast Cine CT images. The image is contoured at an initial density threshold and a one-dimensional edge operator is applied orthogonally to each point of the contour. Output from the operator is used to generate a histogram, the mode of which identifies a new threshold. The image is contoured again at the new threshold and the process is repeated. Iteration continues with successive threshold estimates converging to a stable value in the region of the endocardial surface. Computer-determined thresholds compare favorably with manual segmentation while reducing processing time and increasing reproducibility as well.
Original Publication Citation
W. A. Barrett and B. S. Morse, "A relaxation algorithm for segmentation of the endocardial surface from cine CT," in IEEE Proceedings of Computers in Cardiology, pp. 95-98, September 1989.
BYU ScholarsArchive Citation
Barrett, William A. and Morse, Bryan S., "A Relaxation Algorithm for Segmentation of the Endocardial Surface from Cine CT" (1989). Faculty Publications. 736.
Physical and Mathematical Sciences
© 1989 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Copyright Use Information