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A NIfTI (nii.gz) 3D Visualizer using VTK and Qt5

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A NIfTI (nii.gz) 3D Visualizer using VTK and Qt5

Run with Python

  1. Create a virtual environment. Mac can use virtualenv or conda. Windows must use conda.
  2. Install the dependencies (PyQt5, vtk, and sip) pip install PyQt5 vtk
  3. Start the program python ./visualizer/brain_tumor_3d.py -i "./sample_data/10labels_example/T1CE.nii.gz" -m "./sample_data/10labels_example/mask.nii.gz"

Generate PyInstaller Binaries

Note: Must modify the paths in .spec file to match your project directory

  • Mac: pyinstaller Theia_Mac.spec
  • Windows: pyinstaller Theia_Windows.spec

Test

  • python -m pytest

Acknowledgements

[1] S.Bakas et al, "Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features", Nature Scientific Data, 4:170117 (2017) DOI: 10.1038/sdata.2017.117

[2] B.Menze et al, "The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)", IEEE Transactions on Medical Imaging 34(10), 1993-2024 (2015) DOI: 10.1109/TMI.2014.2377694

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A NIfTI (nii.gz) 3D Visualizer using VTK and Qt5

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