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Landonodnal (talk | contribs) (Created page with "Category:Software PANDA (Pipeline for Analyzing braiN Diffusion imAges) is a matlab toolbox for pipeline processing of diffusion MRI images. For each subject, PANDA can pr...") |
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[[Category:Software]] | [[Category:Software]] | ||
PANDA (Pipeline for Analyzing braiN Diffusion imAges) is a matlab toolbox for pipeline processing of diffusion MRI images. For each subject, PANDA can provide outputs in 2 types: i) diffusion parameter data that is ready for statistical analysis; ii) brain anatomical networks constructed by using diffusion tractography. Particularly, there are 3 types of resultant diffusion parameter data: WM atlas-level, voxel-level and TBSS-level. The brain network generated by PANDA has various edge definitions, e.g. fiber number, length, or FA-weighted. | PANDA (Pipeline for Analyzing braiN Diffusion imAges) is a matlab toolbox for pipeline processing of diffusion MRI images. For each subject, PANDA can provide outputs in 2 types: i) diffusion parameter data that is ready for statistical analysis; ii) brain anatomical networks constructed by using diffusion tractography. Particularly, there are 3 types of resultant diffusion parameter data: WM atlas-level, voxel-level and TBSS-level. The brain network generated by PANDA has various edge definitions, e.g. fiber number, length, or FA-weighted. | ||
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| + | ==Organizations== | ||
| + | *[[Neuroimaging_Informatics_Tools_and_Resources_Clearinghouse|Neuroimaging Informatics Tools and Resources Clearinghouse]] | ||
| + | *[[NITRC|NITRC]] | ||
==Links== | ==Links== | ||
[http://www.nitrc.org/projects/panda/ Website] | [http://www.nitrc.org/projects/panda/ Website] | ||
Latest revision as of 01:33, 6 April 2022
PANDA (Pipeline for Analyzing braiN Diffusion imAges) is a matlab toolbox for pipeline processing of diffusion MRI images. For each subject, PANDA can provide outputs in 2 types: i) diffusion parameter data that is ready for statistical analysis; ii) brain anatomical networks constructed by using diffusion tractography. Particularly, there are 3 types of resultant diffusion parameter data: WM atlas-level, voxel-level and TBSS-level. The brain network generated by PANDA has various edge definitions, e.g. fiber number, length, or FA-weighted.