Input Data

Brainchop is designed with current version (v1.0.0) to support T1 weighted MRI volumes segmentation. The input must be a T1 brain volume in the Nifti format. As a preprocessing step for proper results, T1 image needs to be normalized to 1x1x1 mm voxels as created by the FreeSurfer's command:

                        **mri_convert**  original_T1.nii  new_T1.nii.gz  -c

After selecting the T1 weighted image for 3D segmentation, Brainchop applies different preprocessing steps underneath such as:

• Converting data to JavaScript readable format.
• Converting input data to tensors in order to deploy tfjs framework for the 3D inference.
• Convert tensors to batches for Grey Matter/White Matter inference.
• Image normalization to enhance model accuracy.