Title :
A deformable region model using stochastic processes applied to echocardiographic images
Author :
Herlin, I.L. ; Nguyen, C. ; Graffigne, C.
Author_Institution :
Epidaure, INRIA, Rocquencourt, France
Abstract :
The problem of improving an initial segmentation of medical data by making use of gray level, texture, and gradient information is addressed. The mathematical environment is that of Markov random fields and stochastic processes. This yields two major advantages: automatic selection of program parameters and ergonomic software that can be used to test homogeneity properties of regions. The method is applied to echocardiographic images in order to segment cardiac cavities
Keywords :
Markov processes; biomedical ultrasonics; cardiology; medical image processing; Markov random fields; deformable region model; echocardiographic images; ergonomic software; gradient information; gray level; mathematical environment; medical data segmentation; program parameters; stochastic processes; texture; Biomedical imaging; Deformable models; Ergonomics; Image edge detection; Image segmentation; Image sequences; Markov random fields; Software testing; Stochastic processes; Ultrasonic imaging;
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
Print_ISBN :
0-8186-2855-3
DOI :
10.1109/CVPR.1992.223139
