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| 1 | +# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*- |
| 2 | +# vi: set ft=python sts=4 ts=4 sw=4 et: |
| 3 | +# |
| 4 | +# Copyright 2025 The NiPreps Developers <[email protected]> |
| 5 | +# |
| 6 | +# Licensed under the Apache License, Version 2.0 (the "License"); |
| 7 | +# you may not use this file except in compliance with the License. |
| 8 | +# You may obtain a copy of the License at |
| 9 | +# |
| 10 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 11 | +# |
| 12 | +# Unless required by applicable law or agreed to in writing, software |
| 13 | +# distributed under the License is distributed on an "AS IS" BASIS, |
| 14 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 15 | +# See the License for the specific language governing permissions and |
| 16 | +# limitations under the License. |
| 17 | +# |
| 18 | +# We support and encourage derived works from this project, please read |
| 19 | +# about our expectations at |
| 20 | +# |
| 21 | +# https://www.nipreps.org/community/licensing/ |
| 22 | +# |
| 23 | +"""Wrappers of NiTransforms.""" |
| 24 | + |
| 25 | +from pathlib import Path |
| 26 | + |
| 27 | +from nipype.interfaces.base import ( |
| 28 | + BaseInterfaceInputSpec, |
| 29 | + File, |
| 30 | + SimpleInterface, |
| 31 | + TraitedSpec, |
| 32 | + traits, |
| 33 | +) |
| 34 | +from nipype.utils.filemanip import fname_presuffix |
| 35 | + |
| 36 | + |
| 37 | +class _ConvertAffineInputSpec(BaseInterfaceInputSpec): |
| 38 | + in_xfm = File(exists=True, desc='input transform piles') |
| 39 | + inverse = traits.Bool(False, usedefault=True, desc='generate inverse') |
| 40 | + in_fmt = traits.Enum('auto', 'itk', 'fs', 'fsl', usedefault=True, desc='input format') |
| 41 | + out_fmt = traits.Enum('itk', 'fs', 'fsl', usedefault=True, desc='output format') |
| 42 | + reference = File(exists=True, desc='reference file') |
| 43 | + moving = File(exists=True, desc='moving file') |
| 44 | + |
| 45 | + |
| 46 | +class _ConvertAffineOutputSpec(TraitedSpec): |
| 47 | + out_xfm = File(exists=True, desc='output, combined transform') |
| 48 | + out_inv = File(desc='output, combined transform') |
| 49 | + |
| 50 | + |
| 51 | +class ConvertAffine(SimpleInterface): |
| 52 | + """Write a single, flattened transform file.""" |
| 53 | + |
| 54 | + input_spec = _ConvertAffineInputSpec |
| 55 | + output_spec = _ConvertAffineOutputSpec |
| 56 | + |
| 57 | + def _run_interface(self, runtime): |
| 58 | + from nitransforms.linear import load as load_affine |
| 59 | + |
| 60 | + ext = { |
| 61 | + 'fs': 'lta', |
| 62 | + 'itk': 'txt', |
| 63 | + 'fsl': 'mat', |
| 64 | + }[self.inputs.out_fmt] |
| 65 | + |
| 66 | + in_fmt = self.inputs.in_xfm |
| 67 | + if in_fmt == 'auto': |
| 68 | + in_fmt = { |
| 69 | + '.lta': 'fs', |
| 70 | + '.mat': 'fsl', |
| 71 | + '.txt': 'itk', |
| 72 | + }[Path(self.inputs.in_xfm).suffix] |
| 73 | + |
| 74 | + reference = self.inputs.reference or None |
| 75 | + moving = self.inputs.moving or None |
| 76 | + affine = load_affine(self.inputs.in_xfm, fmt=in_fmt, reference=reference, moving=moving) |
| 77 | + |
| 78 | + out_file = fname_presuffix( |
| 79 | + self.inputs.in_xfm, |
| 80 | + suffix=f'_fwd.{ext}', |
| 81 | + newpath=runtime.cwd, |
| 82 | + use_ext=False, |
| 83 | + ) |
| 84 | + self._results['out_xfm'] = out_file |
| 85 | + affine.to_filename(out_file, moving=moving, fmt=self.inputs.out_fmt) |
| 86 | + |
| 87 | + if self.inputs.inverse: |
| 88 | + inv_affine = ~affine |
| 89 | + if moving is not None: |
| 90 | + inv_affine.reference = moving |
| 91 | + |
| 92 | + out_inv = fname_presuffix( |
| 93 | + self.inputs.in_xfm, |
| 94 | + suffix=f'_inv.{ext}', |
| 95 | + newpath=runtime.cwd, |
| 96 | + use_ext=False, |
| 97 | + ) |
| 98 | + self._results['out_inv'] = out_inv |
| 99 | + inv_affine.to_filename(out_inv, moving=reference, fmt=self.inputs.out_fmt) |
| 100 | + |
| 101 | + return runtime |
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