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Note though that you'll want to consider whether to use all the shells if computing a standard tensor fit because the assumption of Gaussian diffusion and mono exponential decay starts to break down
for b>1500 or so.
Perhaps someone from Oxford will chime in with more detailed thoughts on that issue.
cheers,
-MH
--
Michael Harms, Ph.D.
-----------------------------------------------------------
Conte Center for the Neuroscience of Mental Disorders
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South Euclid Ave.
Tel: 314-747-6173
St. Louis, MO 63110
Email: [email protected]
From: <House>, Matthew House <[email protected]>
Date: Thursday, October 16, 2014 12:11 PM To: 임솔 <[email protected]>, "[email protected]" <[email protected]> Subject: Re: [HCP-Users] How I can use grad_dev file for tensor fitting using FSL dtifit? Hi, Sol. There is a hidden option of ‘--gradnonlin’ in the dtifit command to enable this function. Below is an example command that I used in a
script to loop over the HCP DTI data. dtifit -k data.nii.gz -r bvecs -b bvals -m nodif_brain_mask.nii.gz -o $OUTDIR/$SUBJECT/dti --gradnonlin=grad_dev.nii.gz ~Matt From:
[email protected] [mailto:[email protected]]
On Behalf Of ?? Dear all, I'm trying to fit the diffusion tensor model using FSL dtifit but I do not know how to include gradient correction using grad_dev file. There is an option flag '-gradadj' in Camino to do it. What would be the
equivalent argument for FSL dtifit? Many thanks. Best, Sol _______________________________________________ The material in this message is private and may contain Protected Healthcare Information (PHI). 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. _______________________________________________ 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] How I can use grad_dev file for tensor fitting ... 임솔
- Re: [HCP-Users] How I can use grad_dev file for tensor... House, Matthew
- Re: [HCP-Users] How I can use grad_dev file for te... Harms, Michael
