Subject: Re: AC-PC positions
From: John Ashburner
Date: Fri, 27 Oct 2000 15:00:05 +0100 (BST)
To: spm@mailbase.ac.uk, spm@fil.ion.ucl.ac.uk
[…]
The best that I can suggest is you try manually reorienting your
images via the <Display> button. Try different rotations and
translations until the image is displayed how you want it. The
attached Matlab function can then be used for reslicing the image(s)
in the transverse orientation, with 1mm isotropic resolution.
Best regards,
-John
Attached file: .reorient.m~
Error in c matrix fixed, June 6, 2001 -TEN
Subsequently, John offered modifications to use the native voxel size, which have been incorporated…
See also SPM5 Gem2 & Gem3
Subject: Re: reorient.m
From: John Ashburner
Date: Thu, 14 Dec 2000 17:04:38 +0000
To: SPM@JISCMAIL.AC.UK
| I would like to reorient some images in two ways,
| using the usefull function reorient() of John Ashburner.
|
| - first is to keep the voxel size intact,
| but still reorienting in the transverse plane
Without testing the code, and without too much thought, I think
the modification to do this is involves something like changing from:
mat = spm_matrix([mn-1]);
dim = (mat\[mx 1]')';
to something like:
vox = spm_imatrix(V.mat);
vox = vox(7:9);
mat = spm_matrix([0 0 0 0 0 0 vox])*spm_matrix([mn-1]);
dim = (mat\[mx 1]')';
|
| - second is to reorient in the coronal plane,
| with 1x1x1 mm resol.
I think this is involves something like changing from:
mat = spm_matrix([mn-1]);
to something like:
mat = spm_matrix([0 0 0 pi/2])*spm_matrix([mn-1]);
or maybe:
mat = spm_matrix([0 0 0 -pi/2])*spm_matrix([mn-1]);
|
| In the two cases, the final image should have no .mat file
| and be resliced using sinc ...
To reslice using sinc interpolation, you change from:
img = spm_slice_vol(V,M,dim(1:2),1);
to something like:
img = spm_slice_vol(V,M,dim(1:2),-6);
I hopehese suggestions work.
Best regards,
-John
If you want to set arbitrary voxel size, just setvoxas desired in the fix above, but then be sure to forcedimto be an integer.
For example, I wanted to increase the resolution of my images by a factor of three, so I did
vox = spm_imatrix(V.mat);
vox = vox(7:9)/3;
mat = spm_matrix([0 0 0 0 0 0 vox])*spm_matrix([mn-1]);
dim = ceil(mat\[mx 1]')');
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