Document Detail

Registration of FA and T1-weighted MRI data of healthy human brain based on template matching and normalized cross-correlation.
MedLine Citation:
PMID:  23288436     Owner:  NLM     Status:  MEDLINE    
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.
Milos Malinsky; Roman Peter; Erlend Hodneland; Astri J Lundervold; Arvid Lundervold; Jiri Jan
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of digital imaging     Volume:  26     ISSN:  1618-727X     ISO Abbreviation:  J Digit Imaging     Publication Date:  2013 Aug 
Date Detail:
Created Date:  2013-07-09     Completed Date:  2014-03-07     Revised Date:  2014-08-05    
Medline Journal Info:
Nlm Unique ID:  9100529     Medline TA:  J Digit Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  774-85     Citation Subset:  IM    
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MeSH Terms
Brain / anatomy & histology*
Brain Mapping / methods*
Image Interpretation, Computer-Assisted / methods
Image Processing, Computer-Assisted / methods
Imaging, Three-Dimensional / methods
Longitudinal Studies
Magnetic Resonance Imaging / methods*
Reference Values
Reproducibility of Results

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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