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MICCAI
2002
Springer

Nonrigid Registration Using Regularized Matching Weighted by Local Structure

10 years 11 months ago
Nonrigid Registration Using Regularized Matching Weighted by Local Structure
Abstract. We present a novel approach to nonrigid registration of volumetric multimodal medical data. We propose a new regularized template matching scheme, where arbitrary similarity measures can be embedded and the regularization imposes spatial coherence taking into account the quality of the matching according to an estimation of the local structure. We propose to use an efficient variation of weighted least squares termed normalized convolution as a mathematically coherent framework for the whole approach. Results show that our method is fast as accurate.
Eduardo Suárez, Carl-Fredrik Westin, Eduard
Added 15 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2002
Where MICCAI
Authors Eduardo Suárez, Carl-Fredrik Westin, Eduardo Rovaris, Juan Ruiz-Alzola
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