Remove unused function

Author: AliceJoubert

clinica/utils/image.py

@@ -16,7 +16,6 @@
     "compute_aggregated_volume",
     "get_new_image_like",
     "merge_nifti_images_in_time_dimension",
-    "remove_dummy_dimension_from_image",
     "crop_nifti",
     "clip_nifti",
     "crop_nifti_using_t1_mni_template",
@@ -220,31 +219,6 @@ def _check_volumes_from_images(images: Tuple[Path, ...]) -> Tuple[np.ndarray, ..
     return tuple(four_dimensional_volumes)
 
 
-def remove_dummy_dimension_from_image(image: str, output: str) -> str:
-    """Remove all dummy dimensions (i.e. equal to 1) from an image.
-
-    Parameters
-    ----------
-    image : str
-        Path to the input image.
-
-    output : str
-        Path to the desired output image.
-
-    Returns
-    -------
-    str :
-        The path to the output image.
-    """
-    import nibabel as nib
-    from nilearn.image import new_img_like
-
-    img = new_img_like(image, nib.load(image).get_fdata().squeeze())
-    nib.save(img, output)
-
-    return output
-
-
 @dataclass
 class Slice:
     """Interval composed of a starting point and ending point."""

test/unittests/utils/test_image.py

@@ -153,24 +153,6 @@ def test_merge_nifti_images_in_time_dimension_3d_and_4d(
     assert_array_equal(out_img.get_fdata(), expected_data)
 
 
-def test_remove_dummy_dimension_from_image(tmp_path):
-    from clinica.utils.image import remove_dummy_dimension_from_image
-
-    input_data = np.random.randint(low=0, high=10, size=(16, 10, 6, 3))
-    input_image = nib.Nifti1Image(input_data.astype(np.int32), affine=np.eye(4))
-    nib.save(input_image, tmp_path / "input_image.nii.gz")
-
-    result = remove_dummy_dimension_from_image(
-        str(tmp_path / "input_image.nii.gz"),
-        str(tmp_path / "output_image.nii.gz"),
-    )
-    result_image = nib.load(result)
-
-    assert result == str(tmp_path / "output_image.nii.gz")
-    assert_array_equal(result_image.affine, np.eye(4))
-    assert_array_equal(result_image.get_fdata(), input_data)
-
-
 def test_slice_error():
     from clinica.utils.image import Slice  # noqa