I want to reduce the resolution in xy direction and leave z unaltered. May I know which module can be used to do the above?
I’ve checked the crop volume module, the Spacing scale option allows us to scale in all 3 dimensions.
I don’t want to scale in z dimension. May I know if it is a good idea to use Resample Scalar Volume module’s Scaling (2,2,0) if I want to use a Spacing Scale of 2 in x,y dimensions and leave it unaltered in z?
Could someone explain how the image spacing is computed here?
To be honest, I don’t clearly understand what the x,y,z (If I am not wrong, z is the slice thickness) coordinates in the Imaging Spacing tab refer to.
For instance, “the voxel size in this study (pixel size of 0.81 mm)” is mentioned in the documentation of dataset from which I have used the 2D slices to reconstruct 3D volume. If my understanding is right, 0.81mm has to be set for Image Spacing in x,y,z dimensions. May I know if this is correct?
ResampleScalarVolume takes physical values. So if you want to reduce xy by 50% and your voxel spacing is 0.81, you should enter 1.62, 1.62, 0 (not 2,2,0)
Thank you very much for the clarification. Could you please suggest which interpolation method will be apt for resampling? I tried spline interpolation that was mentioned in Luca Antiga’s paper. But, in my opinion, that didn’t work fine. I could find disconnected fragments in 3D volume. Would it be a good idea to use Nearest neighbors?
If your data is a labelmap you should use nearest neighbor so that you have exactly the same number of classes that you begin with, otherwise linear is fairly safe.
