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Erschienen in: Journal of Digital Imaging 4/2013

01.08.2013

Registration of FA and T1-Weighted MRI Data of Healthy Human Brain Based on Template Matching and Normalized Cross-Correlation

verfasst von: Milos Malinsky, Roman Peter, Erlend Hodneland, Astri J. Lundervold, Arvid Lundervold, Jiri Jan

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 4/2013

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Abstract

In this work, we propose a new approach for three-dimensional registration of MR fractional anisotropy images with T1-weighted anatomy images of human brain. From the clinical point of view, this accurate coregistration allows precise detection of nerve fibers that is essential in neuroscience. A template matching algorithm combined with normalized cross-correlation was used for this registration task. To show the suitability of the proposed method, it was compared with the normalized mutual information-based B-spline registration provided by the Elastix software library, considered a reference method. We also propose a general framework for the evaluation of robustness and reliability of both registration methods. Both registration methods were tested by four evaluation criteria on a dataset consisting of 74 healthy subjects. The template matching algorithm has shown more reliable results than the reference method in registration of the MR fractional anisotropy and T1 anatomy image data. Significant differences were observed in the regions splenium of corpus callosum and genu of corpus callosum, considered very important areas of brain connectivity. We demonstrate that, in this registration task, the currently used mutual information-based parametric registration can be replaced by more accurate local template matching utilizing the normalized cross-correlation similarity measure.
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Metadaten
Titel
Registration of FA and T1-Weighted MRI Data of Healthy Human Brain Based on Template Matching and Normalized Cross-Correlation
verfasst von
Milos Malinsky
Roman Peter
Erlend Hodneland
Astri J. Lundervold
Arvid Lundervold
Jiri Jan
Publikationsdatum
01.08.2013
Verlag
Springer US
Erschienen in
Journal of Imaging Informatics in Medicine / Ausgabe 4/2013
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-012-9561-8

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