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.