FS requires a T1-like contrast. I don't think that there is much you can
do with DWI, and we would not support it if you were able to get it to run
On 3/24/2020 11:50 AM, Yixin Ma wrote:
External Email - Use Caution
I was trying to use the average of DWI images (isoDWI) to run
recon-all, and it didn't work. I understand that FreeSurfer can only
take a T1-weighted image for now. But how hard would it be to modify
the code by myself to make it work? If it works, how accurate do you
think it would be to run FreeSurfer on isoDWI?
All the best and thank you for your help,
Yixin
Message: 8
Date: Fri, 13 Mar 2020 18:44:18 -0400
From: "Douglas N. Greve" <dgr...@mgh.harvard.edu
<mailto:dgr...@mgh.harvard.edu>>
Subject: Re: [Freesurfer] FreeSurfer Cortical Parcellation using
isoDWI image only?
To: <freesurfer@nmr.mgh.harvard.edu
<mailto:freesurfer@nmr.mgh.harvard.edu>>
Message-ID: <14b89d9d-130f-08f0-d593-71f2cdef3...@mgh.harvard.edu
<mailto:14b89d9d-130f-08f0-d593-71f2cdef3...@mgh.harvard.edu>>
Content-Type: text/plain; charset="utf-8"
you are trying to run a DWI image through recon-all? Sorry, it can only
take T1w right now
On 3/12/2020 3:28 PM, Yixin Ma wrote:
>
> ????????External Email - Use Caution
>
> Hi Freesurfer experts,
>
> I'm writing to ask if it's possible to run FreeSurfer Cortical
> Parcellation by just using the isoDWI image. If it's possible, it will
> reduce the scan time and avoid misregistration between T1 and DWI.
>
> I started from just input the masked isoDWI (mask generated from
> MRtrix3) for -reconall command, and attached is a screenshot of the
> image of NU.mgz, which shows a clear delineation of WM/GM matter. So I
> think it's promising, although the recon-all stopped because of the
> wrong contrast.
> My ideas on tackling this problem are:
> 1) generate a corresponding "fake" T1-weighted image by
> either?adjusting the value directly or using a brain Atlas and
> deformable registration to create one.
> 2) Tweak some parameters in FreeSurfer.
>
> Any suggestions or comments on my ideas are appreciated.
>
> Thank you very much and all the best,
>
> Yixin Ma
>
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