James Kerns

Machines with SAD != 1000 should be handled.

Currently, saving an image back to dicom from a pylinac image will not correct the new rows and columns if they have changed. When re-importing this will lead to a...

This is a possible solution: https://stackoverflow.com/questions/5045210/how-to-remove-unconverted-data-from-a-python-datetime-object But we could also just add ValueError to the existing try/except block, allowing it to fail gracefully.

https://github.com/jrkerns/pylinac/blob/8cdd9b867133725da3baecb27e7c0d89c6b59a11/pylinac/core/roi.py#L204 - [ ] change to match numpy standards - [ ] test to ensure no regression on classes that use the class

As of now, the behavior is to calculate the leaf fluence as one pixel, which does not allow for partially-covered leaves. This may (slightly) affect the gamma score. One solution...