Author, as appears in the article.: Akram, F.; Soomro, S.; Munir, A.; Lee, C.H.; Choi, K.N.

Department: Enginyeria Informàtica i Matemàtiques

URV's Author/s: AKRAM , FARHAN; Soomro, S.; Munir, A.; Lee, C.H.; Choi, K.N.

Keywords: endocardium epicardium heart right ventricle

Abstract: Segmentation of left and right ventricles plays a crucial role in quantitatively analyzing the global and regional information in the cardiac magnetic resonance imaging (MRI). In MRI, the intensity inhomogeneity and weak or blurred object boundaries are the problems, which makes it difficult for the intensity-based segmentation methods to properly delineate the regions of interests (ROI). In this paper, a hybrid signed pressure force function (SPF) is proposed, which yields both local and global image fitted differences in an additive fashion. A characteristic term is also introduced in the SPF function to restrict the contour within the ROI. The overlapping dice index and Hausdorff-Distance metrics have been used over cardiac datasets for quantitative validation. Using 2009 LV MICCAI validation dataset, the proposed method yields DSC values of 0.95 and 0.97 for endocardial and epicardial contours, respectively. Using 2012 RVMICCAI dataset, for the endocardial region, the proposed method yields DSC values of 0.97 and 0.90 and HD values of 8.51 and 7.67 for ED and ES, respectively. For the epicardial region, it yields DSC values of 0.92 and 0.91 and HD values of 6.47 and 9.34 for ED and ES, respectively. Results show its robustness in the segmentation application of the cardiac MRI. Universitat Rovira i Virgili

Research group: Robòtica i Visió Intel.ligents

Thematic Areas: Enginyeria informàtica Ingeniería informática Computer engineering

licence for use: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 1748-670X

Author identifier: 0000-0003-4109-2645; ; ; ;

Last page: num. 8350680

Journal volume: 2017

Papper version: info:eu-repo/semantics/publishedVersion

Link to the original source: https://www.hindawi.com/journals/cmmm/2017/8350680/

Article's DOI: 10.1155/2017/8350680

Entity: http://nportal0.urv.cat:18080/fourrepo/rest/digitalobjects/DS?objectId=PC%3A3100&datastreamId=DocumentPrincipal&mime=application%2Fpdf

Journal publication year: 2017

First page: Art

Publication Type: Article Artículo Article