LV shape and motion: B-spline-based deformable model and sequential motion decomposition

  • Authors:
  • Guo Luo;P. A. Heng

  • Affiliations:
  • Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China;-

  • Venue:
  • IEEE Transactions on Information Technology in Biomedicine
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.