Metadata-Version: 2.4
Name: karawun
Version: 0.2.6.0
Summary: DICOM image, segmgmentation image and fibre object converter
Home-page: https://developmentalimagingmcri.github.io/karawun/
Author: Richard Beare
Author-email: richard.beare@mcri.edu.au
License: Apache License, Version 2.0
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Requires-Python: >=3.14
License-File: LICENSE
Requires-Dist: numpy>=2.3
Requires-Dist: pydicom==3.0.2
Requires-Dist: SimpleITK>=2.5.5
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
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Converts nifti files (raw and mask) and mrtrix tck files to DICOM format
readable by Brainlab surgical planning and navigation systems.
Tck files are converted to 3D objects that can be manipulated by Brainlab tools.
Label images are converted to a dicom segmentation format and can also be
manipulated as 3D objects in Brainlab
