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| 1 | +#!/usr/bin/env python3 |
| 2 | + |
| 3 | +from rhscripts.metrics import dice_similarity |
| 4 | +import argparse |
| 5 | +import nibabel as nib |
| 6 | + |
| 7 | +__scriptname__ = 'dice_similarity' |
| 8 | +__version__ = '0.0.1' |
| 9 | + |
| 10 | +""" |
| 11 | +
|
| 12 | +VERSIONING |
| 13 | + 0.0.1 # Added functionality |
| 14 | +
|
| 15 | +""" |
| 16 | + |
| 17 | + |
| 18 | +"""Calculate DICE score between two nifti files |
| 19 | +
|
| 20 | +Parameters |
| 21 | +---------- |
| 22 | +... |
| 23 | +version : boolean, optional |
| 24 | + Print the version of the script |
| 25 | +""" |
| 26 | + |
| 27 | +""" dice_similarity |
| 28 | +Author: Claes Ladefoged |
| 29 | +Date: 31-10-2024 |
| 30 | +
|
| 31 | +### Example use cases from cmd-line ### |
| 32 | + |
| 33 | + Get overall dice score, assuming binary input: |
| 34 | + python dice_similarity.py <nii_file_1> <nii_file_2> |
| 35 | + |
| 36 | + Apply a threshold on the images first: |
| 37 | + python dice_similarity.py <nii_file_1> <nii_file_2> --threshold <threshold> |
| 38 | + |
| 39 | + Use a mask to limit the threshold area: |
| 40 | + python dice_similarity.py <nii_file_1> <nii_file_2> --mask <nii_file_mask> |
| 41 | + |
| 42 | +--------------------------------------------------------------------------------------- |
| 43 | +
|
| 44 | +""" |
| 45 | + |
| 46 | +# INPUTS |
| 47 | +parser = argparse.ArgumentParser() |
| 48 | +parser.add_argument("nii_file_1", help='Input nii file', type=str) |
| 49 | +parser.add_argument("nii_file_2", help='Input nii file', type=str) |
| 50 | +parser.add_argument("--threshold", help='Apply a threshold to the images', type=float) |
| 51 | +parser.add_argument("--mask", help='Input mask file to limit the area', type=str) |
| 52 | +args = parser.parse_args() |
| 53 | + |
| 54 | +arr1 = nib.load(args.nii_file_1).get_fdata() |
| 55 | +arr2 = nib.load(args.nii_file_2).get_fdata() |
| 56 | + |
| 57 | +if args.threshold: |
| 58 | + arr1 = (arr1 > args.threshold).astype(int) |
| 59 | + arr2 = (arr2 > args.threshold).astype(int) |
| 60 | + |
| 61 | +if args.mask: |
| 62 | + mask = nib.load(args.mask).get_fdata() |
| 63 | + arr1[mask<1] = 0 |
| 64 | + arr2[mask<1] = 0 |
| 65 | + |
| 66 | +dsc = dice_similarity(arr1, arr2) |
| 67 | +print(dsc) |
| 68 | + |
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