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Local intensity mapping for hierarchical non-rigid registration of multi-modal images using the cross-correlation coefficient

Adrian Andronache, and Philippe C. Cattin, and Gabor Szekely, . (2006) Local intensity mapping for hierarchical non-rigid registration of multi-modal images using the cross-correlation coefficient. In: Biomedical image registration : third international workshop, WBIR 2006, Utrecht, The Netherlands, July 9 - 11, 2006 ; proceedings. Berlin, pp. 26-33.

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Official URL: http://edoc.unibas.ch/dok/A6308286

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Abstract

The hierarchical subdivision strategy which decomposes the non-rigid matching problem into numerous local rigid transformations is a very common approach in image registration. For multi-modal images mutual information is the usual choice for the measure of patch similarity. As already recognized in the literature, the statistical consistency of mutual information is drastically reduced when it is estimated for regions covering only a limited number of image samples. This often affects the reliability of the final registration result. In this paper we present a new intensity mapping algorithmwhich can locally transform images of different modalities into an intermediate pseudo-modality. Integrated into the hierarchical framework, this intensity mapping uses the local joint intensity histograms of the coarsely registered sub-images and allows the use of the more robust cross-correlation coefficient for the matching of smaller patches.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Bibsysno:Link to catalogue
Publisher:Springer
Note:Also published in: Lecture notes in computer science. - Berlin : Springer. - 4057 (2006), S. 26-33 -- Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:03 Jul 2015 08:53
Deposited On:03 Jul 2015 08:53

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