Source code for fastr.examples.elastix_nipype

#!/usr/bin/env python

# Copyright 2011-2014 Biomedical Imaging Group Rotterdam, Departments of
# Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands
# 
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# 
#     http://www.apache.org/licenses/LICENSE-2.0
# 
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import fastr

IS_TEST = False  # Do not use as a test


[docs]def create_network(): network = fastr.Network(id_="test_elastix_nipype_demo") source1 = network.create_source('ITKImageFile', id_='fixed_img') source2 = network.create_source('ITKImageFile', id_='moving_img') param1 = network.create_source('ElastixParameterFile', id_='param_file') elastix_node = network.create_node('NipypeElastix', id_='elastix') elastix_node.inputs['fixed_image'] = source1.output elastix_node.inputs['moving_image'] = source2.output link_param = network.create_link(param1.output, elastix_node.inputs['parameters']) link_param.converge = 0 outtrans = network.create_sink('ElastixTransformFile', id_='sink_trans') outtrans.inputs['input'] = elastix_node.outputs['transform'] transformix_node = network.create_node('Transformix', id_='transformix') transformix_node.inputs['image'] = source2.output transformix_node.inputs['transform'] = elastix_node.outputs['transform'][-1] outimage = network.create_sink('ITKImageFile', id_='sink_image') outimage.inputs['input'] = transformix_node.outputs['image'] network.draw_network(img_format='svg') network.dumpf('{}.json'.format(network.id), indent=2) return network
[docs]def source_data(network): return {'fixed_img': {'s1': 'vfs://example_tools/elastix_test/img0/slice047.mhd'}, 'moving_img': {'s1': 'vfs://example_tools/elastix_test/img1/slice091.mhd'}, 'param_file': ['vfs://example_tools/elastix_test/parAslice.txt', 'vfs://example_tools/elastix_test/parBslice.txt']}
[docs]def sink_data(network): return {'sink_trans': 'vfs://tmp/results/elastix_output_trans_{sample_id}_{cardinality}.txt', 'sink_image': 'vfs://tmp/results/elastix_output_image_{sample_id}.nii.gz'}
[docs]def main(): network = create_network() # Execute network.draw_network() network.execute(source_data(network), sink_data(network))
if __name__ == '__main__': main()