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jesper:

Sorry for my stupid question, :-) Just want to make sure with you.
For --super, seems no  any input parameter needed, is it correct? and should I set --superlevel also?
Best,
Ping


> Date: Sat, 24 Jan 2009 13:40:11 +0000
> From: [log in to unmask]
> Subject: Re: [FSL] template for fnirt
> To: [log in to unmask]
> 
> Dear Ping,
> 
> > My subjects are old people, when I trying to normalize my subjects to MNI
> > template, the ventricle seesms a little more mis-registration.
> > So I am wondering if anybody knows some template for aged people?
> > For my situation, should I pick one subject from my study as template and
> > normalize others to it?
> 
> I would suggest the following strategy for creating a custom template for
> your elderly subjects.
> 
> 1. Register all subjects to the MNI152 template using the "usual"
> configuration file.
> 2. Use applywarp to resample all your subjects to the template space,
> setting the --super flag (for super-sample). Using --super means you will
> preserve more of the information from your original image.
> 3. Create a new template by averaging the registered images, calling it
> e.g. MNI152_elderly_T1_2mm.
> 4. Register all subjects again, now to the MNI152_elderly_T1_2mm template.
> When doing this you can pass each subjects previous warp-file as input to
> fnirt using the --inwarp parameter. If you do that you can change the
> schedule in the configuration file to include only the final two steps,
> but that is not neccessary and would only save you execution time, not
> alter your results.
> 5. Goto step 2. Repeat this until the new template is "identical" to that
> in the previous iteration.
> 
> Folowing these steps you will have a template that is approximately in
> MNI152 space, but wich accomodates some of the widened ventricles in your
> population. You will also have a template where the contrast is closely
> matched to your particular scanner/sequence, which means that subsequent
> registrations to this template will be more robust.
> 
> Good luck Jesper

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