The abstract introduces a dual active shape model to address the variability and complexity of right ventricular shape in CMR image segmentation.
RV shape variability limits ASM accuracy in CMR; leaves open need for refined segmentation methods.
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.
No takes yet. Share an insight, caveat, or question.
El‐Rewaidy et al. (2016) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: