Analysis of left ventricle global deformation based on dynamic CT data

Chang Wen Chen, Thomas S. Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper addresses the problem of estimating left ventricle rigid and nonrigid motions from three-dimensional (3D) dynamic CT data via a model-based approach. We 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 su-perquadric modeling primitives which we use 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. The preliminary results obtained seem promising, since they match well to the apparent motion pattern of the left ventricle.

Original languageEnglish (US)
Title of host publicationIAPR 1992 - 11th IAPR International Conference on Pattern Recognition
Subtitle of host publicationImage, Speech, and Signal Analysis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)0818629207
StatePublished - 1992
Event11th IAPR International Conference on Pattern Recognition, IAPR 1992 - The Hague, Netherlands
Duration: Aug 30 1992Sep 1 1992

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651


Other11th IAPR International Conference on Pattern Recognition, IAPR 1992
CityThe Hague

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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