Bi‐objective simultaneous optimization of catheter positions and dwell times for high‐dose‐rate (HDR) prostate brachytherapy, based directly on dose‐volume indices, has shown promising results. However, optimization with the state‐of‐the‐art evolutionary algorithm MO‐RV‐GOMEA so far required several hours of runtime, and resulting catheter positions were not always clinically feasible. The aim of this study is to extend the optimization model and apply GPU parallelization to achieve clinically acceptable computation times. The resulting optimization procedure is compared with a previously introduced method based solely on geometric criteria, the adapted Centroidal Voronoi Tessellations (CVT) algorithm.

中文翻译：

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高剂量率前列腺近距离放射治疗的导管位置的双目标优化

直接基于剂量-体积指数的高剂量率（HDR）前列腺近距离放射治疗的导管位置和停留时间的双目标同时优化已显示出令人鼓舞的结果。但是，到目前为止，使用最新的进化算法MO-RV-GOMEA进行优化需要花费几个小时的运行时间，并且由此产生的导管位置在临床上并不总是可行的。这项研究的目的是扩展优化模型并应用GPU并行化以达到临床可接受的计算时间。将所得的优化过程与仅基于几何标准的先前介绍的方法，自适应质心Voronoi镶嵌（CVT）算法进行比较。