What you can do with Voxenra

3 use cases

• Segment CT organs locally with AI and refine the result

  Run TotalSegmentator on a CT study inside Voxenra, then check and correct the organ masks before saving.

  • Voxenra
  • Security and science
  • Intermediate
  View prompt

  Work in the repo l5769389/voxenra. Run `uv run voxenra`, open the CT study at <path to CT study>, and run TotalSegmentator on the liver and spleen. Report the saved file path and confirm the masks appear in the axial, coronal and sagittal views.

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• Measure lesions on CT or MR and export a PDF or CSV report

  Draw length, angle and ROI measurements on images, then export the results as CSV, PDF or DICOM SR.

  • Voxenra
  • Security and science
  • Beginner
  View prompt

  Work in the repo l5769389/voxenra. Start it with `uv run voxenra`, open <path to study>, and measure the lesion with a length tool. Export the results to <output folder> as CSV and confirm the file lists each measurement with its value.

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• Review PET/CT fusion and align it manually

  Fuse PET and CT in slices and 3D, adjust the blend, and register the two volumes by hand.

  • Voxenra
  • Security and science
  • Intermediate
  View prompt

  Work in the repo l5769389/voxenra. Run `uv run voxenra`, import the PET and CT series at <path to PET/CT study>, and open the fusion view. Report whether the PET overlay aligns with CT anatomy at the slice you chose, and state the blend ratio used.

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How to use Voxenra

1. Check you have what it needs: Python with uv installed, so the README command `uv run voxenra` works; Local DICOM, NRRD or PACS-accessible CT, MR or PET/CT data you are allowed to use; For AI auto-segmentation: a separately installed TotalSegmentator environment and CT fast model, detected under Settings → AI.
2. Open l5769389/voxenra on GitHub and read the README and license.
3. Clone the repo from https://github.com/l5769389/voxenra and enter the folder.
4. Install TotalSegmentator and its CT fast model separately, then open Settings → AI and check that the environment is detected.
5. Run uv run voxenra, import your CT study, and open it in MPR or 4D.
6. Search for and tick the organs you need (the default is liver, spleen and both kidneys), then start the local inference on the current phase.

These steps come from our top use case, Segment CT organs locally with AI and refine the result, which also has a copy-paste agent prompt.

Voxenra alternatives · Best AI repos for Security and science

About this repo

• Who it is forWritten for medical imaging researchers, medical physicists and clinical staff who work with DICOM studies and need a local viewer for review, measurement and segmentation.
• Why it is hot
• LanguagePython
• Sourcegithub.com/l5769389/voxenra · Back to Hot repos

Requirements

• Python with uv installed, so the README command `uv run voxenra` works
• Local DICOM, NRRD or PACS-accessible CT, MR or PET/CT data you are allowed to use
• For AI auto-segmentation: a separately installed TotalSegmentator environment and CT fast model, detected under Settings → AI
• A desktop OS: macOS Apple Silicon or Windows x64 release builds are listed, or a source checkout run with uv

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