Automatic right ventricle (RV) segmentation by propagating a basal spatio-temporal characterization

Angélica Atehortúa; María A. Zuluaga; Fabio Martínez; Sebastien Ourselin; Eduardo Romero

doi:10.1117/12.2208096

22 December 2015 Automatic right ventricle (RV) segmentation by propagating a basal spatio-temporal characterization

Angélica Atehortúa, María A. Zuluaga, Fabio Martínez, Sebastien Ourselin, Eduardo Romero

Proceedings Volume 9681, 11th International Symposium on Medical Information Processing and Analysis; 96810N (2015) https://doi.org/10.1117/12.2208096
Event: 11th International Symposium on Medical Information Processing and Analysis (SIPAIM 2015), 2015, Cuenca, Ecuador

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.

Citation Download Citation

Angélica Atehortúa, María A. Zuluaga, Fabio Martínez, Sebastien Ourselin, and Eduardo Romero "Automatic right ventricle (RV) segmentation by propagating a basal spatio-temporal characterization", Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 96810N (22 December 2015); https://doi.org/10.1117/12.2208096

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