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Fig. 1 | Radiation Oncology

Fig. 1

From: Personalized treatment planning with a model of radiation therapy outcomes for use in multiobjective optimization of IMRT plans for prostate cancer

Fig. 1

Flow diagram of the new treatment planning model. Objective functions and the patient and beam model are input into a multiobjective optimization algorithm which outputs a set of plans. The set of plan containing the dosimetric variables and patient variables are input into a Bayesian network. The output is a set of probabilities for each of the possible outcomes; these in turn are combined with utilities for these outcomes in a Markov Model in order to rank the plans

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