Title :
Quantitative assessment of the infarct transmurality using delayed contrast enhanced magnetic resonance images: description and validation
Author :
Kachenoura, N. ; Redheuil, A. ; El-Berbari, R. ; Dominguez, C. Ruiz ; Herment, A. ; Mousseaux, E. ; Frouin, F.
Author_Institution :
Lab. of Functional Imaging, INSERM, Paris
Abstract :
The extent and degree of myocardial injury after an ischemic event are strong predictors of patient´s outcome. After acute infarction, delayed contrast enhancement magnetic resonance imaging allows clinicians to distinguish between viable and non-viable myocardium and can delineate with high precision the infarcted tissue. The aim of this study is to provide a quantitative method based on the fuzzy c-means clustering algorithm to assess the location and the extent of the infarcted area. Segmental infarct trasmurality was visually assessed on a 5-point scale for the 288 segments. The agreement between visual and quantitative analyses was good: 84% of the segments were categorized similarly by quantitative and visual analyses
Keywords :
biomedical MRI; cardiovascular system; fuzzy set theory; image enhancement; image segmentation; medical image processing; pattern clustering; acute infarction; delayed contrast enhanced magnetic resonance images; fuzzy c-means clustering algorithm; infarcted tissue; ischemic event; myocardial injury; nonviable myocardium; quantitative analyses; quantitative assessment; segmental infarct transmurality; viable myocardium; visual analyses; Clustering algorithms; Coronary arteriosclerosis; Delay; Image segmentation; Injuries; Laboratories; Magnetic resonance; Magnetic resonance imaging; Myocardium; Radiology;
Conference_Titel :
Computers in Cardiology, 2005
Conference_Location :
Lyon
Print_ISBN :
0-7803-9337-6
DOI :
10.1109/CIC.2005.1588024