Title
Segmentation Of The Infarct And Peri-Infarct Zones In Cardiac Mr Images
Abstract
This paper presents a novel approach for segmentation of the infarct and peri-infarct tissue in the left ventricular wall of the heart. This paper is motivated by a recent finding that shows the infarct and peri-infarct zones to be independent predictors of post myocardial infarction. This paper proposes a method to segment the endocardial and epicardial contours of the left ventricle in the presence of the enhanced infarct and peri-infarct tissues. A level set method using shape priors, obtained from a 3D active appearance model of the ventricle wall on cine MR images is presented. From the extracted 3D cardiac ventricular wall, a method is proposed to segment the infarct and peri-infarct tissues using intensity, volume, shape and heart wall thickness features. The parameters of end-diastolic volume, end-systolic volume, myocardial mass, ejection fraction and infarct and peri-infarct mass are computed using the proposed method and compared with the gold standard provided by the cardiologists. Promising results and comparisons demonstrate the potential of our approach for a practical computer assisted diagnostic system. © 2010 Springer-Verlag.
Publication Date
11-9-2010
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
6326 LNCS
Number of Pages
31-41
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-642-15699-1_4
Copyright Status
Unknown
Socpus ID
78049448574 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/78049448574
STARS Citation
Gupta, Aditya and Shah, Mubarak, "Segmentation Of The Infarct And Peri-Infarct Zones In Cardiac Mr Images" (2010). Scopus Export 2010-2014. 487.
https://stars.library.ucf.edu/scopus2010/487