NDLI: Tagged cardiac MRI: detection of myocardial boundaries by texture analysis

Content Provider	IEEE Xplore Digital Library
Author	Histace, A. Cavaro-Menard, C. Vigouroux, B.
Copyright Year	2003
Description	Author affiliation: Lab. d'Ingenierie des Systemes Automatises LISA, Univ. d'Angers, Angers, France (Histace, A.; Cavaro-Menard, C.; Vigouroux, B.)
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 and the following of the grids of tags on short-axis and long-axis time sequences, in order to firstly optimize the 3D+T study of the parietal contractions and secondly make possible its clinical use. 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 energy maps more efficient than those usually used in active contours methods where attractor is often based on gradient and which were useless in our case of study. The follow-up of the grid of tags that we have implemented is based on a grid of active contours (B-snakes) which part of the energy is calculated in the Fourier's domain. The results obtained with our method is fully automatic and correct on short-axis as well as on long-axis sequences, when previous works on cardiac tagged MR images analysis always used manual contours detection.
Sponsorship	IEEE Signal Process. Soc
File Size	356518
File Format	PDF
ISBN	0780377508
ISSN	15224880
DOI	10.1109/ICIP.2003.1246868
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-14
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnetic resonance imaging Myocardium Active contours Protocols Pathology Cardiovascular diseases Area measurement Displacement measurement Ischemic pain Testing
Content Type	Text
Resource Type	Article

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