HDR prostate brachytherapy: dwell time and catheter position optimization
Although automatic dwell time optimization is common practice in HDR prostate brachytherapy (BT) treatment planning, this is less the case for automatic catheter position optimization for pre-planning. Recently, a bi-objective optimization model has been introduced, to automatically optimize dwell times and catheter positions simultaneously, creating a set of plans with different trade-offs between target coverage and organ sparing. The model can be optimized with the Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA), but this requires too large running times on an ordinary Central Processing Unit (CPU). In this work, we parallelize this optimization on a modern Graphics Processing Unit (GPU), and improve on the optimization model to ensure clinically feasible catheter positions.
