You may wish to change the voxel sizes and bounding box in order to
obtain slightly lower resolution versions (other than the default
1.5mm isotropic with a large bounding box). See the email I sent out
On 15 February 2011 17:29, Richard Binney <[log in to unmask]> wrote:
> Dear John (and other knowledgeable types),
> I used the deformation file (e.g., Y_p1_T1.nii) from Seg8 to normalise a
> functional MRI timeseries. That worked fine - the anatomical images that
> I additionally warped in this way look great - but I now cannot do anything
> with the timeseries.
> It is now almost 4Gb in size. I appreciate that using DARTEL to warp fMRI
> data can result in massive files which are problematic (and thus a work
> around is to apply the warp to contrast images), but I didn't expect the
> segment deformation field to do the same.
> Does this sound about right for a timeseries with 465 volumes (voxel dim 2.5
> x 2.5 x 3; matrix 96x96; numslices = 42)? Or have I made a mistake
> so I'm supposing my inability to use the warped timeseries is a memory
> issue - I am running a 64-bit machine with 8Gb memory (I can see all this
> being used in the task manager so doesn't seem to be a matlab version
> problem) but maybe this file is just way too big for the SPM
> platform.....???? I could crop the image, etc I suppose but maybe the
> biggest problem is the shear number of volumes.
> Thanks in advance for your thoughts
> On Thu, Feb 10, 2011 at 4:05 PM, William Pettersson-Yeo
> <[log in to unmask]> wrote:
>> Thanks John.
>> It turns out the problem was due to the version of Matlab I was running.
>> Matlab2007 was only running 32bit, whilst the 2010 version is 64.
>> Having set up with Matlab2010, the new segmentation with DARTEL import now
>> runs without any problem, without me having to alter/crop any of the images.
>> All the best