Paper
11 March 2008 The evaluation of a population based diffusion tensor image atlas using a ground truth method
Wim Van Hecke, Alexander Leemans, Emiliano D'Agostino, Steve De Backer, Evert Vandervliet M.D., Paul M. Parizel, Jan Sijbers
Author Affiliations +
Abstract
Purpose: 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 ground 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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wim Van Hecke, Alexander Leemans, Emiliano D'Agostino, Steve De Backer, Evert Vandervliet M.D., Paul M. Parizel, and Jan Sijbers "The evaluation of a population based diffusion tensor image atlas using a ground truth method", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69140B (11 March 2008); https://doi.org/10.1117/12.770214
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Diffusion

Diffusion tensor imaging

Visualization

Image visualization

Medical imaging

Diffusion weighted imaging

Image analysis

Back to Top