An iterative E ± δ·SD optimizer with polynomial-chaos percentile updates controls voxel-wise under- and overdosage probabilities in proton plans, beating mini-max robust plans on phantoms.
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Probabilistic Proton Treatment Planning: a novel approach for optimizing underdosage and overdosage probabilities of target and organ structures
An iterative E ± δ·SD optimizer with polynomial-chaos percentile updates controls voxel-wise under- and overdosage probabilities in proton plans, beating mini-max robust plans on phantoms.