I'm able to load a dose cloud into python as a numpy ndarray using pynrrd. The next challenge is to extract isodose lines (like V50%) to create masks (bitmap images) that I can overlay onto other images. How can we find the isodose profile and convert this into a bitmap image, or a matrix of 0-1 from the numpy array?
This might help for detailed information!
https://github.com/bastula/dicompyler/diffs?base_sha=e9d2a3f8838c8f30ad7abfc728a7f0ac599ef35c&bytes=14190&head_user=ipostuma&lines=365&pull_number=95&sha1=e9d2a3f8838c8f30ad7abfc728a7f0ac599ef35c&sha2=e4e22a2d10ed9a9e8f6650bf829d19cc604deea9&start_entry=30
Helge Egil Seime Pettersen Thank you, that is very helpful. How do the pixel (voxel) values relate to the dose values? For example, I have a plan with a prescribed dose of 50Gy, but the max voxel value is about 35. Maximum dose can also be around 107% of the prescription, so using np.max(dosecloud) might not give a value that can be directly related to the px dose.
- Badges
- Science topic
- Similar topics
- Computer Science and Engineering
- Programming Languages
- Python