| |
| function mri2 = downsampleMRI2d(mri,factors,mode) |
|
|
| if nargin<3 |
| mode='linear'; |
| end |
|
|
| if length(factors)==1 |
| factors=repmat(factors,[1 2]); |
| end |
|
|
| if strcmp(mode,'nearest') |
| S=mri.vol; |
| else |
| S=GaussFilt2d(mri.vol,0.4*factors); |
| end |
|
|
| [II,JJ]=ndgrid(.5+factors(1)/2:factors(1):size(S,1),.5+factors(2)/2:factors(2):size(S,2)); |
| I=interpn(S,II,JJ,mode); |
|
|
| mri2=[]; |
| mri2.vol=I; |
| mri2.volres=mri.volres.*[factors(2) factors(1) 1]; |
| mri2.vox2ras0=mri.vox2ras0; |
| mri2.vox2ras0(1:3,1:3)=mri.vox2ras0(1:3,1:3).*repmat([factors(2) factors(1) 1],[3 1]); |
| mri2.vox2ras0(1:3,4)=mri2.vox2ras0(1:3,4)+mri.vox2ras0(1:3,1:3)*([factors(2); factors(1); 1]/2-0.5); |
|
|