Tools to help with the conversion of DICOM images, RT Structures, and dose to useful Python objects. Essentially DICOM to NumPy and SimpleITK Images
Dose files are meant to either be associated with a plan or a structure set. However, if the necessary structure set/plan is not present, they are weren't being tied to their respective image sets.
Try try and mitigate this, I've added group_dose_by_frame_of_reference. This will take any remaining dose files and associate them with images with the same frame of reference. The user will receive a warning when this is happening.
Tried to ensure masks are wiped out between changing indexes/images, was concerned future volumes might be incorrectly estimated.
Moved a few modules around to hopefully make the code more legible.
This release should automatically create roi volumes from the Contour_Names added.
This release aims to include columns of ROI volumes automatically and is currently being finished.. Prior to these updates, this is the latest, stable, version.
A new release after publication, inclusion of Exmaples and jupyter notebook files
First release for packaging