Estimation of the Current Density in a Dynamic Heart Model and Visualization of Its Propagation
MIAR '08 Proceedings of the 4th international workshop on Medical Imaging and Augmented Reality
H.264 standard for left ventricle video compression and telediagnosis
Telehealth '07 The Third IASTED International Conference on Telehealth
Cardiac motion estimation from tagged MRI using 3D-HARP and NURBS volumetric model
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Generation of myocardial wall surface meshes from Segmented MRI
Journal of Biomedical Imaging
Reconstruction of the inner surface of the left ventricle of the heart
Pattern Recognition and Image Analysis
Building a three-dimensional dynamic model of left cardiac ventricle from ultrasonic data
Pattern Recognition and Image Analysis
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In this paper, we extend a previous work by J. Park and propose a uniform framework to reconstruct left ventricle (LV) geometry/motion from tagged MR images. In our work, the LV is modeled as a generalized prolate spheroid, and its motion is decomposed into four components-global translation, polar radial/z-axis compression, twisting, and bending. By formulating model parameters as tensor products of B-splines, we develop efficient algorithms to quickly reconstruct LV geometry/motion from extracted boundary contours and tracked planar tags. Experiments on both synthesized and in vivo data are also reported.