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Proceedings Paper

A level set approach for left ventricle detection in CT images using shape segmentation and optical flow
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Paper Abstract

The left ventricle (LV) segmentation plays an important role in a subsequent process for the functional analysis of the LV. Typical segmentation of the endocardium wall in the ventricle excludes papillary muscles which leads to an incorrect measure of the ejected volume in the LV. In this paper we present a new variational strategy using a 2D level set framework that includes a local term for enhancing the low contrast structures and a 2D shape model. The shape model in the level set method is propagated to all image sequences corresponding to the cardiac cycles through the optical flow approach using the Hermite transform. To evaluate our strategy we use the Dice index and the Hausdorff distance to compare the segmentation results with the manual segmentation carried out by the physician.

Paper Details

Date Published: 28 January 2015
PDF: 8 pages
Proc. SPIE 9287, 10th International Symposium on Medical Information Processing and Analysis, 92870K (28 January 2015); doi: 10.1117/12.2073869
Show Author Affiliations
Jorge Brieva, Univ. Panamericana (Mexico)
Ernesto Moya-Albor, Univ. Panamericana (Mexico)
Boris Escalante-Ramírez, Univ. Nacional Autónoma de México (Mexico)


Published in SPIE Proceedings Vol. 9287:
10th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore, Editor(s)

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