|Title:||Nonrigid registration using regularized matching weighted by local structure||Authors:||Suárez, Eduardo
Westin, Carl Fredrik
|UNESCO Clasification:||33 Ciencias tecnológicas||Keywords:||Root Mean Square
|Issue Date:||2002||Journal:||Lecture Notes in Computer Science||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.||URI:||http://hdl.handle.net/10553/48863||ISBN:||3540442251||ISSN:||0302-9743||Source:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 2489, p. 581-589|
|Appears in Collections:||Actas de congresos|
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