Closed AkhilaPhenomx closed 7 months ago
median_otsu
is a method that will compute the brain mask (remove the skull) and will return the mask and the brainmasked diffusion data. vol_idx
tells which index of the input diffusion data (4D) volume is used to compute the mask. In this case, it is the first volume, corresponding to the index [0]
, which holds the b0 image:
https://github.com/dipy/dipy/blob/4249da1987bad74cdc6cf1f69977b3a7132e7af8/dipy/segment/mask.py#L126
Hi Team, I am exploring Diffusion data and came across your repository and trying to replicate it with the sample data I have. I didn't understanstand below step.
# vol_idx is a 1D-array containing the index of the first b0
dwi_brain, dwi_mask = median_otsu(dwi_data, vol_idx=[0])
what is the value of vol_idx in Diffusion Preprocessing episode?