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Proceedings Paper

Automatic right ventricle (RV) segmentation by propagating a basal spatio-temporal characterization
Author(s): Angélica Atehortúa; María A. Zuluaga; Fabio Martínez; Sebastien Ourselin; Eduardo Romero
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Paper Abstract

An accurate right ventricular (RV) function quantification is important to support the evaluation, diagnosis and prognosis of several cardiac pathologies and to complement the left ventricular function assessment. However, expert RV delineation is a time consuming task with high inter-and-intra observer variability. In this paper we present an automatic segmentation method of the RV in MR-cardiac sequences. Unlike atlas or multi-atlas methods, this approach estimates the RV using exclusively information from the sequence itself. For so doing, a spatio-temporal analysis segments the heart at the basal slice, segmentation that is then propagated to the apex by using a non-rigid-registration strategy. The proposed approach achieves an average Dice Score of 0:79 evaluated with a set of 48 patients.

Paper Details

Date Published: 22 December 2015
PDF: 6 pages
Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 96810N (22 December 2015); doi: 10.1117/12.2208096
Show Author Affiliations
Angélica Atehortúa, Univ. Nacional de Colombia (Colombia)
María A. Zuluaga, Univ. Nacional de Colombia (Colombia)
Fabio Martínez, Univ. Nacional de Colombia (Colombia)
Sebastien Ourselin, University College London (United Kingdom)
Eduardo Romero, Univ. Nacional de Colombia (Colombia)


Published in SPIE Proceedings Vol. 9681:
11th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Juan D. García-Arteaga; Jorge Brieva, Editor(s)

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