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Proceedings Paper

Application of the nonrigid shape matching algorithm to volumetric cardiac images
Author(s): Dmitry B. Goldgof; Kambhamettu Chandra
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Paper Abstract

This paper presents a new method for tracking points on the left ventricle (LV) surface from volumetric cardiac images. If an object undergoes nonrigid motion, the standard motion parameters of translation and rotation are not sufficient to describe the object transformation. The authors define the local surface stretching as an additional motion parameter of nonrigid transformation. In homothetic motion, this parameter is constant at all points on the surface. In this work a new algorithm for tracking LV surface through the heart cycle is presented. The authors utilize small motion assumption, hypothesize all possible correspondences, and compute curvature changes for each hypothesis. Then, calculation is made of the error between computed curvature changes and the one predicted by homothetic motion assumption. The hypothesis with the smallest error gives point correspondences between consecutive time frames. The algorithm is demonstrated on simulated data, then applied to real data of LV. The data set was provided by Dr. Eric Hoffman at University of Pennsylvania Medical school and consists of 16 volumetric (128 by 128 by 118) images taken through the heart cycle.

Paper Details

Date Published: 1 July 1991
PDF: 13 pages
Proc. SPIE 1450, Biomedical Image Processing II, (1 July 1991); doi: 10.1117/12.44302
Show Author Affiliations
Dmitry B. Goldgof, Univ. of South Florida (United States)
Kambhamettu Chandra, Univ. of South Florida (United States)


Published in SPIE Proceedings Vol. 1450:
Biomedical Image Processing II
Alan Conrad Bovik; Vyvyan Howard, Editor(s)

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