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import subprocess | |
import io | |
import pandas as pd | |
# The fslcc binary to use | |
FSLCC = '/opt/fsl/5.0.11/bin/fslcc' | |
# Parameters for the command line. No thresholding, report 4 digits. | |
FSLCC_PARAMS = ['-t', '0', '-p', '4'] | |
def call_fslcc(file1, file2): | |
""" | |
Compute cross-correlation by calling fslcc and parsing the output | |
into a pd DataFrame. | |
""" | |
cc = subprocess.check_output([FSLCC, *FSLCC_PARAMS, file1, file2]) | |
return pd.read_csv(io.StringIO(cc.decode()), delimiter='\s+', | |
header=None, names=['file1', 'file2', 'CC']) | |
# Example: | |
df = call_fslcc('sub-01.ica/melodic_IC.nii.gz', 'sub-02.ica/melodic_IC.nii.gz') |
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