Left ventricle global motion and shape from CT volumetric data

The authors address the problem of estimating left ventricle (LV) global motion and shape from CT (computed tomography) volumetric data based on surface modeling. An improved approach able to estimate the global motion and deformation as well as to construct a parametrized global shape of the LV has been developed. The global rigid motion of the LV is computed from the position and orientation change of an estimated time-varying and object-centered coordinate system, while the global deformations are obtained through the fitting of global shape modeling primitives to the given digital volumes of the LV. Major improvements over the initial effort (C.W. Chen and T.S. Huang, 1992) include a robust algorithm for the LV long axis estimation and the implementation of weighted surface fitting based on the original image statistics of the boundary points.<>