Abstract
Current implementation of inverse planning simulated annealing (IPSA) algorithm for clinical uses requires the physicists to manually adjust the input potentials used to minimize the cost function during the optimization process. This workflow produces a single plan which might not encapsulate all the plan goals set forth by the physicians. On the fly adjustment of the potentials are feasible and can be fast but are time-limited due to the patient waiting for treatment and can be dependent on the optimization skill of the user. The purpose of this work is to present a graphics processing unit (GPU) based implementation of IPSA (gIPSA) which can generate multiple plans in parallel for high dose rate (HDR) brachytherapy. Thus a Pareto Front of equally-optimal plans can be generated for each patient from which the user can chose the most suitable option depending on the clinical situation.
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