Paper Info
Title
The evaluation of a population based diffusion tensor image atlas using a ground truth method
Abstract
Voxel based morphometry (VBM) is increasingly being used to detect diffusion tensor (DT) image abnormalities in patients for different pathologies. An important requisite for these VBM studies is the use of a high-dimensional, non-rigid coregistration technique, which is able to align both the spatial and the orientational information. Recent studies furthermore indicate that high-dimensional DT information should be included during coregistration for an optimal alignment. In this context, a population based DTI atlas is created that preserves the orientational DT information robustly and contains a minimal bias towards any specific individual data set. Methods: A ground truth evaluation method is developed using a single subject DT image that is deformed with 20 deformation fields. Thereafter, an atlas is constructed based on these 20 resulting images. Thereby, the non-rigid coregistration algorithm is based on a viscous fluid model and on mutual information. The fractional anisotropy (FA) maps as well as the DT elements are used as DT image information during the coregistration algorithm, in order to minimize the orientational alignment inaccuracies. Results: The population based DT atlas is compared with the around truth image using accuracy and precision measures of spatial and orientational dependent metrics. Results indicate that the population based atlas preserves the orientational information in a robust way. Conclusion: A subject independent population based DT atlas is constructed and evaluated with a ground truth method. This atlas contains all available orientational information and can be used in future VBM studies as a reference system.
Year
DOI
Venue
2008
10.1117/12.770214
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
diffusion tensor imaging,non-rigid coregistration,group atlas,diffusion tensor tractography
Computer vision,Population,Diffusion MRI,Anisotropy,Fractional anisotropy,Ground truth,Atlas (anatomy),Artificial intelligence,Mutual information,Accuracy and precision,Geography
Conference
Volume
ISSN
Citations 
6914
0277-786X
0
PageRank 
References 
Authors
0.34
4
7
Name
Order
Citations
PageRank
Wim Van Hecke11326.68
Alexander Leemans21406.56
Emiliano d'Agostino3615.19
Steve De Backer420015.14
Evert Vandervliet5221.36
Paul M Parizel61046.33
Jan Sijbers763469.73