DocumentCode :
2395951
Title :
An automated quantification of the transmural myocardial infarct extent using cardiac DE-MR images
Author :
El Berbari, R. ; Kachenoura, N. ; Frouin, F. ; Herment, A. ; Mousseaux, E. ; Bloch, I.
Author_Institution :
INSERM, UPMC, Paris, France
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
4403
Lastpage :
4406
Abstract :
Evaluating myocardial viability is an important prognostic factor in the follow-up of infarctions. Delayed Enhancement magnetic resonance (DE-MR) imaging allows precise delineation of the infarct transmural extent. Visual interpretation is the most commonly used method to assess the myocardial infarction (MI) transmural extent. This study proposes to automate the segmentation of the (DE) images prior to the estimation of the extent of infarcted tissue. Indeed the segmentation of the myocardium was performed using cine contraction images which present a high contrast between cavity and myocardium. After the segmentation, the segmental transmurality is estimated on a conventional five point scale. A head to head comparison was performed between visual and quantitative analysis of infarct transmurality on DE-MR imaging. Results on 921 sub-segments (9 patients) showed an absolute agreement of 80% and a relative agreement (with one point difference) of 97%.
Keywords :
biological tissues; biomedical MRI; cardiology; image segmentation; medical image processing; automated quantification; cine contraction images; delayed enhancement magnetic resonance imaging; image segmentation; infarct transmurality; infarcted tissue; myocardial infarction; segmental transmurality; transmural extent; Electrocardiography; Heart; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging, Cine; Myocardial Infarction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5333691
Filename :
5333691
Link To Document :
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