PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Before deploying our model you need to standardize the MRI scans. Use the following command from FreeSurfer
mri_convert --conform
The above command standardizes the alignment for QuickNAT, re-samples to isotrophic resolution (256x256x256) with some contrast enhamcement. It takes about one second per volume.
Assuming FreeSurfer is not available, could you please elaborate on the pre-processing steps?
What exactly does it mean to standardize alignment?
Hello,
The readme states:
Assuming FreeSurfer is not available, could you please elaborate on the pre-processing steps?