Automatic segmentation of the left ventricle  myocardium in congenital heart diseases by saliency features

Miguel A. Beltran; Angélica Atehortúa; Eduardo Romero

doi:10.1117/12.2511561

21 December 2018 Automatic segmentation of the left ventricle myocardium in congenital heart diseases by saliency features

Miguel A. Beltran, Angélica Atehortúa, Eduardo Romero

Author Affiliations +

Proceedings Volume 10975, 14th International Symposium on Medical Information Processing and Analysis; 1097515 (2018) https://doi.org/10.1117/12.2511561
Event: 14th International Symposium on Medical Information Processing and Analysis, 2018, Mazatlán, Mexico

Abstract

Accurate volume quantification in magnetic resonance imaging (MRI) provides an important cardiac indicator in congenital heart diseases and furthermore, it is crucial for any surgical planning of congenital surgery. This paper presents an automatic segmentation of the left ventricle (LV) in congenital heart diseases. The proposed approach is basically the suite of three steps: first, a radial saliency analysis coarsely approximates the myocardium boundary. Second, this boundary is refined by choosing, among the candidate points, those ones that follow the most ellipsoidal closed curve. Third, these points serve as the external energy of a conventional snake that is evolved to approximate the inner myocardium boundary. This method requires a minimum parameterization and demands low computational power, in fact, a whole case is segmented in 80 s. The strategy was evaluated using 10 cardiac MRI volumes of actual congenital diseases provided by the HVSMR 2016 challenges, achieving an average Dice of 0.77.

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Miguel A. Beltran, Angélica Atehortúa, and Eduardo Romero "Automatic segmentation of the left ventricle myocardium in congenital heart diseases by saliency features", Proc. SPIE 10975, 14th International Symposium on Medical Information Processing and Analysis, 1097515 (21 December 2018); https://doi.org/10.1117/12.2511561

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