Role of standardized and study-specific human brain diffusion tensor templates in inter-subject spatial normalization
Purpose: To investigate the effect of standardized and study‐specific human brain diffusion tensor templates on the accuracy of spatial normalization, without ignoring the important roles of data quality and registration algorithm effectiveness. Materials and Methods: Two groups of diffusion tensor...
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Published in | Journal of magnetic resonance imaging Vol. 37; no. 2; pp. 372 - 381 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.02.2013
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Purpose:
To investigate the effect of standardized and study‐specific human brain diffusion tensor templates on the accuracy of spatial normalization, without ignoring the important roles of data quality and registration algorithm effectiveness.
Materials and Methods:
Two groups of diffusion tensor imaging (DTI) datasets, with and without visible artifacts, were normalized to two standardized diffusion tensor templates (IIT2, ICBM81) as well as study‐specific templates, using three registration approaches. The accuracy of inter‐subject spatial normalization was compared across templates, using the most effective registration technique for each template and group of data.
Results:
It was demonstrated that, for DTI data with visible artifacts, the study‐specific template resulted in significantly higher spatial normalization accuracy than standardized templates. However, for data without visible artifacts, the study‐specific template and the standardized template of higher quality (IIT2) resulted in similar normalization accuracy.
Conclusion:
For DTI data with visible artifacts, a carefully constructed study‐specific template may achieve higher normalization accuracy than that of standardized templates. However, as DTI data quality improves, a high‐quality standardized template may be more advantageous than a study‐specific template, because in addition to high normalization accuracy, it provides a standard reference across studies, as well as automated localization/segmentation when accompanied by anatomical labels. J. Magn. Reson. Imaging 2013;37:372–381. © 2012 Wiley Periodicals, Inc. |
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Bibliography: | ArticleID:JMRI23842 NINDS - No. R21NS076827 istex:0FC1888BF616062064950980E88EF8449AA09522 NIBIB - No. R21EB006525 ark:/67375/WNG-SRPM9QTJ-W ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
ISSN: | 1053-1807 1522-2586 1522-2586 |
DOI: | 10.1002/jmri.23842 |