Hi - alternatively, you could generate the mean image of all of your
diffusion scans, and run bet on this.
One more suggestion to try - run dtifit with a mask image that is all
ones, and then run bet on the mean diffusivity image.
Cheers
T
On 19 Feb 2008, at 09:20, Steve Smith wrote:
> Hi - you should be able to run BET on this low b-value image - but
> you might need to reduce the -f option to below 0.5 maybe.
> Cheers.
>
> On 15 Feb 2008, at 11:24, Lucia Garrido wrote:
>
>> Hello,
>>
>> I'd be grateful if someone could let me know whether there are any
>> problems
>> in using a binary brain mask from a structural image or a
>> diffusion image in
>> analyses in FDT. We didn't collect any images with b=0. We
>> collected images
>> with b=100 and b=1000 s/mm^2.
>> I'm sorry that I have posted before about this issue. At that
>> time, I was
>> running BET in the b=100 images to use as binary brain masks.
>> However, since
>> then I've noticed that doing this was not optimal as was removing
>> parts of
>> the brain. So, I was wondering whether I could use structural
>> images, or the
>> diffusion images with b=1000. Is there any reason for not use these?
>>
>> Many thanks,
>>
>> Lucia
>>
>
>
> ----------------------------------------------------------------------
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> Stephen M. Smith, Professor of Biomedical Engineering
> Associate Director, Oxford University FMRIB Centre
>
> FMRIB, JR Hospital, Headington, Oxford OX3 9DU, UK
> +44 (0) 1865 222726 (fax 222717)
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