|
No registration is necessary, you can simply resample with an identity transformation as the data are already aligned (they just have differing resolutions). This could be done with wb_command -volume-affine-resample <Input Masks> <eye.mat> <${StudyFolder}/${Subject}/T1w/Diffusion/nodif_brain_mask.nii.gz>
ENCLOSING_VOXEL <Output Masks>
Where eye.mat is a text file that contains:
1 0 0 0
0 1 0 0
0 0 1 0
0 0 0 1
Peace,
Matt.
From: <hcp-users-boun...@humanconnectome.org> on behalf of Andrés Méndez <andres.mend...@gmail.com>
Date: Friday, July 31, 2015 at 10:52 AM To: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org> Subject: [HCP-Users] Structural masks on Diffusion data I want to use the masks calculated for the Structural data (WM, GM, CSF) with the Diffusion data. The resolutions of both structural and diffusion volumes are different, is there a standard way in the community to do a straightforward transformation? Should
I do a Structural to Diffusion registration and then transform the masks?
What do you suggest?
Thanks in advance.
Andrés
_______________________________________________
C. Andrés Méndez G., Postdoctoral Research FellowDepartment of Computer Science, University of Verona Ca' Vignal 2 - Strada Le Grazie 15, 37134 VERONA - Italy Tel. +39 045 802 7803 _______________________________________________ The materials in this message are private and may contain Protected Healthcare Information or other information of a sensitive nature. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited. If you have received this email in error, please immediately notify the sender via telephone or return mail. _______________________________________________ |
- [HCP-Users] Structural masks on Diffusion data Andrés Méndez
- Re: [HCP-Users] Structural masks on Diffusion data Glasser, Matthew
