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