wmc2trk.py

import os
import sys
import json
import argparse
import numpy as np
import nibabel as nib
from scipy.io import loadmat


def wmc2trk(trk_file, classification, tractID_list):
    """
    Convert the wmc structure into multiple trk files.
    """
    tractogram = nib.streamlines.load(trk_file)
    aff_vox_to_ras = tractogram.affine
    voxel_sizes = tractogram.header['voxel_sizes']
    dimensions = tractogram.header['dimensions']
    tractogram = tractogram.streamlines
    wmc = loadmat(classification)
    data = wmc["classification"][0][0]
    indeces = data['index']

	#creating empty hader 		
    hdr = nib.streamlines.trk.TrkFile.create_empty_header()
    hdr['voxel_sizes'] = voxel_sizes
    hdr['dimensions'] = dimensions
    hdr['voxel_order'] = 'LAS'
    hdr['voxel_to_rasmm'] = aff_vox_to_ras

    for tractID in tractID_list:
    	t_name = data['names'][0][tractID-1][0]
    	tract_name = t_name.replace(' ', '_')
    	idx_tract = np.array(np.where(indeces==tractID))[0]
    	tract = tractogram[idx_tract]

    	with open('tract_name_list.txt', 'a') as filetowrite:
    		filetowrite.write('%s\n' %tract_name)

    	#saving tract
    	out_filename = '%s_tract.trk' %tract_name
    	t = nib.streamlines.tractogram.Tractogram(tract, affine_to_rasmm=np.eye(4))
    	nib.streamlines.save(t, out_filename, header=hdr)
    	print("Tract saved in %s" % out_filename)



if __name__ == '__main__':
    
    parser = argparse.ArgumentParser()
    parser.add_argument('-tractogram', nargs='?', const=1, default='',
                        help='The tractogram file')
    parser.add_argument('-classification', nargs='?', const=1, default='',
                        help='The classification.mat file')
    args = parser.parse_args()
    
    with open('config.json') as f:
    	data = json.load(f)
    tractID_list = np.array(eval(data["tractID_list"]), ndmin=1)  

    print("Convert the wmc structure into multiple trk files")
    wmc2trk(args.tractogram, args.classification, tractID_list)

    sys.exit()