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Accurate segmentation of the right ventricle (RV) is a crucial step in theassessment of the ventricular structure and function. Yet, due to its complexanatomy and motion segmentation of the RV has not been as largely studied asthe left ventricle. This paper presents a fully automatic method for thesegmentation of the RV in cardiac magnetic resonance images (MRI). The methoduses a coarse-to-fine segmentation strategy in combination with a multi-atlaspropagation segmentation framework. Based on a cross correlation metric, ourmethod selects the best atlases for propagation allowing the refinement of thesegmentation at each iteration of the propagation. The proposed method wasevaluated on 32 cardiac MRI datasets provided by the RV Segmentation Challengein Cardiac MRI.

Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI