Autor según el artículo: Akram, F.; Soomro, S.; Munir, A.; Lee, C.H.; Choi, K.N.
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: AKRAM , FARHAN; Soomro, S.; Munir, A.; Lee, C.H.; Choi, K.N.
Palabras clave: endocardium epicardium heart right ventricle
Resumen: 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
Grupo de investigación: Robòtica i Visió Intel.ligents
Áreas temáticas: Enginyeria informàtica Ingeniería informática Computer engineering
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1748-670X
Identificador del autor: 0000-0003-4109-2645; ; ; ;
Página final: num. 8350680
Volumen de revista: 2017
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.hindawi.com/journals/cmmm/2017/8350680/
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI del artículo: 10.1155/2017/8350680
Entidad: http://nportal0.urv.cat:18080/fourrepo/rest/digitalobjects/DS?objectId=PC%3A3100&datastreamId=DocumentPrincipal&mime=application%2Fpdf
Año de publicación de la revista: 2017
Página inicial: Art
Tipo de publicación: Article Artículo Article
Repositori URV