Generating 3D images of VMAT plans for predictive models and activation maps associated with plan deliverability
Hyeonjeong Cho,
Jae Sung Lee,
Jin Sung Kim
et al.
Abstract:BackgroundIntensity modulation with dynamic multi‐leaf collimator (MLC) and monitor unit (MU) changes across control points (CPs) characterizes volumetric modulated arc therapy (VMAT). The increased uncertainty in plan deliverability required patient‐specific quality assurance (PSQA), which remained inefficient upon Quality Assurance (QA) failure. To prevent waste before QA, plan complexity metrics (PCMs) and machine learning models with the metrics were generated, which were lack of providing CP‐specific info… Show more
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