Détection robuste et automatique des contours myocardiques sur des séquences IRM cardiaques marquées

Content Provider	Semantic Scholar
Author	Histace, Aymeric Cavaro-Ménard, Christine
Copyright Year	2005
Abstract	The noninvasive evaluation of the cardiac function presents a great interest for the diagnosis of cardiovascular diseases. Cardiac tagged MRI allows the measurement of anatomical and functional myocardial parameters. This protocol generates a dark grid which is deformed with the myocardium. Tracking the grid allows the displacement estimation in the myocardium. The work described in this paper aims to automate the myocardial contours detection in order to optimize the quantitative 2D+T study of the parietal contractions on Short Axis sequences. The method we have developed for endocardial and epicardial contours detection is based on the use of texture analysis and active contours models. Texture analysis allows us to define potential maps more efficient than those usually involved in active contours methods where attractors are often based on gradient and which were useless in our study. This approach allows to obtain satisfying results in term of precision but also in term of reproducibility.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://documents.irevues.inist.fr/bitstream/handle/2042/13835/A149_53368.pdf;jsessionid=FB7E98FD00E730ECBA415D12546863A3?sequence=1
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article