Volumetric modulated arc therapy (VMAT) has found widespread clinical application in
recent years. A large number of treatment planning studies have evaluated the potential for …

Mixed-integer programming theory provides a mechanism for optimizing decisions that take
place in complex systems, including those encountered in biology and medicine. This …

Radiotherapy planning involves inherent tradeoffs: the primary mission, to treat the tumor
with a high, uniform dose, is in conflict with normal tissue sparing. We seek to understand …

This paper considers the problem of radiation therapy treatment planning for cancer
patients. During radiation therapy, beams of radiation pass through a patient. This radiation …

We consider the problem of radiation therapy treatment planning for cancer patients. During
radiation therapy, beams of radiation pass through a patient, killing both cancerous and …

Abstract Models for finding treatment plans for intensity modulated radiation therapy are
usually based on a number of structure-based treatment plan evaluation criteria, which are …

We present a novel linear programming (LP) based approach for efficiently solving the
intensity modulated radiation therapy (IMRT) fluence-map optimization (FMO) problem to …

We generalize the standard method of solving inverse optimization problems to allow for the
solution of inverse problems that would otherwise be ill posed or infeasible. In multiobjective …

Abstract Systems and methods for providing an optimal treatment plan for delivering a
prescribed radiation dose to a predefined target volume within a patient using an external …

In recent years, Markov decision processes (MDPs) and partially observable Markov
decision processes (POMDPs) have found important applications to medical decision …