Key result
A two-stage model-based approach using superquadric modeling primitives was developed to estimate left ventricle rigid and nonrigid motions from 3D dynamic CT data.
The study presents a novel computational model using superquadric primitives to estimate left ventricular motion and deformation from dynamic CT data.
May advance LV motion quantification from dynamic CT; leaves open prospective validation before clinical adoption.
Addresses the problem of estimating left ventricle rigid and nonrigid motions from 3D dynamic CT data via a model-based approach. The authors have developed a two-stage scheme to estimate the motion and deformation of the left ventricle. In the first stage, the rigid motion of the left ventricle is computed from the position and orientation change of an object-centered coordinate system. In the second stage, the global deformations of the left ventricle are estimated by fitting the digital surface to superquadric modeling primitives which are used to model the time-varying and deformable left ventricle shape. Deformation operations, such as tapering and bending, are applied to the basic superquadric modeling primitives in order to capture the complex nature of the left ventricle shape and nonrigid motions.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Chen et al. (2003) studied Left ventricle motion and deformation. Model-based approach using superquadric modeling primitives was evaluated on Estimation of left ventricle rigid and nonrigid motions. A two-stage model-based approach using superquadric modeling primitives was developed to estimate left ventricle rigid and nonrigid motions from 3D dynamic CT data.
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