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Proceedings Paper

Large deformation registration of contrast-enhanced images with volume-preserving constraint
Author(s): Kinda Anna Saddi; Christophe Chefd'hotel; Farida Cheriet
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Paper Abstract

We propose a registration method for the alignment of contrast-enhanced CT liver images. It consists of a fluid-based registration algorithm designed to incorporate a volume-preserving constraint. More specifically our objective is to recover an accurate non-rigid transformation in a perfusion study in presence of contrast-enhanced structures which preserves the incompressibility of liver tissues. This transformation is obtained by integrating a smooth divergence-free vector field derived from the gradient of a statistical similarity measure. This gradient is regularized with a fast recursive low-pass filter and is projected onto the space of divergence-free vector fields using a multigrid solver. Both 2D and 3D versions of the algorithm have been implemented. Simulations and experiments show that our approach improves the registration capture range, enforces the imcompressibility constraint with a good level of accuracy, and is computationally efficient. On perfusion studies, this method prevents the shrinkage of contrast-enhanced regions typically observed with standard fluid methods.

Paper Details

Date Published: 1 March 2007
PDF: 10 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651203 (1 March 2007); doi: 10.1117/12.709515
Show Author Affiliations
Kinda Anna Saddi, Siemens Corporate Research (United States)
Ecole Polytechnique of Montreal (Canada)
Christophe Chefd'hotel, Siemens Corporate Research (United States)
Farida Cheriet, Ecole Polytechnique of Montreal (Canada)

Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)

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