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

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

20 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)430-446
Journal / PublicationIEEE Transactions on Information Technology in Biomedicine
Volume9
Issue number3
Publication statusPublished - Sept 2005
Externally publishedYes

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. © 2005 IEEE.

Research Area(s)

  • B-spline, Generalized prolate spheroid, Left ventricle (LV), Sequential motion decomposition