Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale 2016
DOI: 10.1145/2949550.2949564
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Optimization of non-linear image registration in AFNI

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Cited by 5 publications
(2 citation statements)
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“…For calculation of ODI and FW maps, we used the NODDI toolbox (version 1.0) [12]. To spatially normalize images to the Illinois Institute of Technology atlas (IIT2) space, we implemented an optimized nonlinear image registration procedure using a modified version of 3dQwarp in AFNI [27].…”
Section: Data Processingmentioning
confidence: 99%
“…For calculation of ODI and FW maps, we used the NODDI toolbox (version 1.0) [12]. To spatially normalize images to the Illinois Institute of Technology atlas (IIT2) space, we implemented an optimized nonlinear image registration procedure using a modified version of 3dQwarp in AFNI [27].…”
Section: Data Processingmentioning
confidence: 99%
“…To spatially normalize diffusion images to the Illinois Institute of Technology atlas (IIT2) space ( 36), we implemented an optimized non-linear image registration procedure using a modified version of 3dQwarp in AFNI (37). The warping optimization implements an iterative refinement, where an input image is repeatedly processed through an optimizer in smaller and smaller patches, incorporating convergence criteria at each level to better resolve artifacts, with a final patch size of 5× 5× 5 millimeters.…”
Section: Data Processingmentioning
confidence: 99%