Efficient right ventricular shape modeling using a dual active shape model

Active shape models (ASM) showed to have potential for segmenting the right ventricle (RV) in CMR images. Nevertheless, the large variability and complexity of the RV shape do not allow for concisely capturing all possible shape variations among different patients and anatomical cross-sections. Noticeably, the latter increases the number of iterations required to converge to a proper solution and reduces the segmentation accuracy.