DocumentCode :
2370202
Title :
Computer aided diagnosis of the myocardial ischemia based on a spatio-temporal deformation features analysis
Author :
Han, M. ; Clarysse, P. ; Croisille, P. ; Magnin, I.E. ; Revel, D.
Author_Institution :
CREATIS INSA de Lyon, Villeurbanne, France
fYear :
1998
fDate :
13-16 Sep 1998
Firstpage :
749
Lastpage :
752
Abstract :
The non-invasive measurement of the spatio-temporal deformation of the myocardium and its analysis are very useful for improving the clinical diagnosis of cardiac ischemic pathologies. Magnetic resonance tissue tagging is a privileged technique able to provide a spatio-temporal quantification of the myocardial contraction. Based on this technique, existing methods to estimate the deformation generally provide a great number of 3D spatio-temporal parameters that are often quite difficult to interpret. In this paper, we propose software tools to help clinicians to analyze these deformation parameters. We also propose a strategy for the automatic detection of dysfunctional regions using approximate reasoning. The results of this simple approach, illustrated through 5 examinations, are reasonable for large and moderate infarct sizes
Keywords :
angiocardiography; biomedical MRI; data visualisation; diagnostic reasoning; diseases; fuzzy set theory; image motion analysis; image segmentation; medical expert systems; medical image processing; muscle; pattern clustering; software tools; unsupervised learning; approximate reasoning; automatic detection; computer aided diagnosis; dysfunctional regions; fuzzy C-means; magnetic resonance tissue tagging; myocardial contraction; myocardial ischemia; noninvasive measurement; software tools; spatio-temporal deformation features analysis; unsupervised multidimensional clustering algorithm; Dogs; Heart; Image sequences; Ischemic pain; Magnetic analysis; Magnetic resonance; Magnetic resonance imaging; Myocardium; Shape; Tagging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology 1998
Conference_Location :
Cleveland, OH
ISSN :
0276-6547
Print_ISBN :
0-7803-5200-9
Type :
conf
DOI :
10.1109/CIC.1998.731982
Filename :
731982
Link To Document :
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