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

Socpus ID

78049448574 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/78049448574

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