DocumentCode
1558108
Title
Three-dimensional tracking of coronary arteries from biplane angiographic sequences using parametrically deformable models
Author
Sarry, Laurent ; Boire, Jean-Yves
Author_Institution
Med. Image Res. Team, Auvergne Univ., Clermont-Ferrand, France
Volume
20
Issue
12
fYear
2001
Firstpage
1341
Lastpage
1351
Abstract
A new method for coronary artery tracking in biplane digital subtraction is presented. The dynamic tracking of nonrigid objects from two views is achieved using a generalization of parametrically deformable models. Three-dimensional (3-D) Fourier descriptors used for shape representation are obtained from the two-dimensional (2-D) descriptors of the projections. A new constraint inferred from epipolar geometry is applied to the contour model. Direct 3-D tracking is compared with the classical approach in two steps: independent 2-D tracking in each of the two projection planes; 3-D reconstruction using the epipolar constraint. Convergence quality and accuracy of the 3-D reconstruction are analyzed for several sequences showing different displacement amplitudes, deformation rates and image contrasts.
Keywords
angiocardiography; image reconstruction; image sequences; medical image processing; physiological models; tracking; biplane angiographic sequences; convergence quality; coronary arteries; deformation rates; displacement amplitudes; epipolar geometry constraint; image contrasts; medical diagnostic imaging; parametrically deformable models; three-dimensional tracking; Arteries; Convergence; Deformable models; Geometry; Image analysis; Image sequence analysis; Shape; Solid modeling; Three dimensional displays; Two dimensional displays; Coronary Angiography; Coronary Disease; Coronary Vessels; Elasticity; Fourier Analysis; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Models, Cardiovascular; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/42.974929
Filename
974929
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