NDLI: A MRI myocardial perfusion analysis tool

Content Provider	IEEE Xplore Digital Library
Author	Nee, G. Jehan-Besson, S. Brun, L. Revenu, M. Hamon, M. Hamon-Kerautret, M. Perrin, M.
Copyright Year	2009
Description	Author affiliation: LIMOS laboratory - CNRS UMR 6158 - 63173 Aubière cedex, France (Jehan-Besson, S.) \|\| CHU - Caen - France (Hamon, M.; Hamon-Kerautret, M.) \|\| General Electric Healthcare - Velizy - France (Perrin, M.) \|\| GREYC laboratory - CNRS UMR 6072 - Caen - France (Nee, G.; Brun, L.; Revenu, M.)
Abstract	MRI myocardial perfusion analysis is an important element for the ischemic heart disorder assessment. The spatio-temporal analysis of the myocardial raising during the first crossing of a contrast bolus allows to identify the ischemic or hypoperfused areas. Such an analysis requires an accurate tracking of the myocardium on the whole sequence and a robust segmentation to identify pathological and healthy regions inside the myocardium. In this paper, we present a semiautomatic tracking tool and a segmentation algorithm based on statistical tests and a recent concentration theorem. We show experimental results for both the tracking step and the segmentation of hypoperfused areas to confirm the availability of this setting.
Starting Page	4387
Ending Page	4390
File Size	452441
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnetic resonance imaging Myocardium Motion estimation Merging Image segmentation Robustness Laboratories Medical services Heart Testing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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