3e8df2376596e7caa4af27fe8875f2b0c115f0dc,app/grandchallenge/cases/image_builders/dicom.py,,_process_dicom_file,#,152

Before Change

    img = _create_sitk_image(dcm_array)

    sitk_origin = ref_origin if z_i > 0.0 else tuple(file_origin)
    z_i = np.abs(z_i)

    if "PixelSpacing" in ref_file:
        x_i, y_i = (float(x) for x in ref_file.PixelSpacing)
    else:
        x_i = y_i = 1.0

    sitk_spacing = (x_i, y_i, z_i)
    if dimensions == 4:
        sitk_spacing += (1.0,)
        sitk_origin += (0.0,)

After Change

    if origin is None:
        origin = (0.0, 0.0, 0.0)
    sitk_origin = ref_origin if z_i >= 0.0 else tuple(origin)
    z_i = np.abs(z_i) if not np.isnan(z_i) else 1.0

    if "PixelSpacing" in ref_file:
        x_i, y_i = (float(x) for x in ref_file.PixelSpacing)
    else:
        x_i = y_i = 1.0

    sitk_spacing = (x_i, y_i, z_i)
    if dimensions == 4:
        sitk_spacing += (1.0,)
        sitk_origin += (0.0,)

Instances