I have a few thousand brain MRI:s (incl. 3d-T1, FLAIR, SWI and others) in 512*512 matrix. I need to resize these to 256*256. Mango performs well, but its hardly practical to convert images one at a time. What would be the easiest way to batch resize?
Matlab is an option. If img is the matrix, then the following commands should do the job:
tmp = downsample(img, 2);
img_ds = downsample(tmp',2);
Thanks Abhinav,
Only problem is that I have been avoiding installing Matlab. I guess I'll have to install it now. Actually, The DICOMs might as well be transferred into 256*256 nii.gz files. Is it possible to do that conversionas easily as you described above?
Fiji (ImageJ) also offers the possibility to batch resize DICOMS with the help of macros, and you can export them to any format you like.
http://fiji.sc/
Thank you ever so much Anton! I had completely forgotten Fiji, although I have it right on my computer. It's converting as I write this and works like a charm!
Hi all,
Obviously this thread is old but I'm stille hoping you could help me with a conundrum related to the issues you debate above.
I'm using the Cornerstone DICOM parser (https://github.com/cornerstonejs/dicomParser) to extract pixeldata from CT DICOM images which is working fine.
I need however, to reduce the dimensions of the obtained pixeldata; i.e. from 512*512 to 256*256 while maintaining as much image quality as possible. So I need to do some kind of interpolation instead of just skipping pixels. Could anyone point me in the direction of an algorithm that works in regard to reduce the dimensions of pixeldata with HU values?
Sincerely
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