TY - GEN
T1 - Analysis of left ventricle global deformation based on dynamic CT data
AU - Chen, Chang Wen
AU - Huang, Thomas S.
N1 - Funding Information:
This work was supported by NSF Grant IRI-89-08255 and JSEP Grant N00014-90-J-1270. The computation and animation are carried out at NCSA, University of Illinois at Urbana-Champaign. The authors wish to thank Dr. E. Hoffman of University of Pennsylvania and Dr. W. Higgins of Penn State University for providing the CT image data.
Publisher Copyright:
© 1992 IEEE.
PY - 1992
Y1 - 1992
N2 - 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.
AB - 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.
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U2 - 10.1109/ICPR.1992.202020
DO - 10.1109/ICPR.1992.202020
M3 - Conference contribution
AN - SCOPUS:84933400064
T3 - Proceedings - International Conference on Pattern Recognition
SP - 443
EP - 446
BT - IAPR 1992 - 11th IAPR International Conference on Pattern Recognition
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IAPR International Conference on Pattern Recognition, IAPR 1992
Y2 - 30 August 1992 through 1 September 1992
ER -