Francesca Spadea (Karlsruhe Institute of Technology, Italy)
Project Description
We will extend the treatment planning capabilities of SlicerRT by upgrading the corresponding user interface to better separate plan optimization and dose calculation. Algorithms will be interfaced from the open source treatment planning toolkit matRad via its new Python extension pyRadPlan.
The goal is to allow full treatment planning on data loaded directly in Slicer, returning planned dose cubes for further analysis in Slicer.
Objective
Python connection between SlicerRT ExternalBeamPlanning & pyRadPlan (matRad's Python interface)
Photon & Ion Dose calculation engines available within SlicerRT ExternalBeamPlanning
Updated SlicerRT ExternalBeamPlanning UI to better display planning workflow
Rudimentary treatment plan optimization capabilities within SlicerRT
Approach and Plan
Evaluate existing internal prototype for SlicerRT / matRad Python Interface
Interface Forward dose calculation engines from matRad for photons and ions
Update ExternalBeamPlanning Infrastructure to represent four-step planning process in slicerRT: Geometry Definition, Inverse Dose precomputation, Optimization, Forward dose calculation (already existing within ExternalBeamPlanning module in SlicerRT).
Draft Status
Ready - team will start page creating immediately
Category
Other
Presenter Location
In-person
Key Investigators
Project Description
We will extend the treatment planning capabilities of SlicerRT by upgrading the corresponding user interface to better separate plan optimization and dose calculation. Algorithms will be interfaced from the open source treatment planning toolkit matRad via its new Python extension pyRadPlan. The goal is to allow full treatment planning on data loaded directly in Slicer, returning planned dose cubes for further analysis in Slicer.
Objective
Approach and Plan
Progress and Next Steps
No response
Illustrations
No response
Background and References
No response