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Abstract #2633

Dual Active-Shape Modeling for Efficient Right Ventricular Segmentation from MRI Images

Hossam El-Rewaidy1, El-Sayed H. Ibrahim2, and Ahmed Fahmy1

1Nile University, Cairo, Egypt, 2University of Michigan, Ann Arbor, MI, United States

Active-shape modeling (ASM) has potential for segmenting the right ventricle (RV) from MRI images. Nevertheless, the complexity of the RV shape does not allow for concisely capturing all possible shape variations. In this work, we propose a new ASM framework in which the RV contour is split into two simpler segments, septal and free-wall, whose shape variations are independently modeled using two ASM models. Further, the RV contours are aligned using the Bookstein coordinate-transformation. The results from a dataset of 10 patients show that the proposed framework can efficiently model complex RV shape variation with high accuracy in few iterations.

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