Simultaneous delivery time and aperture shape optimization for the volumetric-modulated arc therapy (VMAT) treatment planning problem
| Autor: | Nadia Lahrichi, Louis-Martin Rousseau, Mehdi Mahnam, Michel Gendreau |
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| Rok vydání: | 2017 |
| Předmět: |
Male
Time Factors Computer science Aperture medicine.medical_treatment computer.software_genre 030218 nuclear medicine & medical imaging law.invention 03 medical and health sciences Prostate cancer 0302 clinical medicine law Voxel medicine Humans Arc therapy Radiology Nuclear Medicine and imaging Shape optimization Radiation treatment planning Radiological and Ultrasound Technology Radiotherapy Planning Computer-Assisted Prostatic Neoplasms Radiotherapy Dosage Collimator medicine.disease Volumetric modulated arc therapy Radiation therapy 030220 oncology & carcinogenesis Benchmark (computing) Radiotherapy Intensity-Modulated Dose rate Algorithm computer Algorithms Software |
| Zdroj: | Physics in Medicine & Biology. 62:5589-5611 |
| ISSN: | 1361-6560 |
| Popis: | In this paper, we propose a novel heuristic algorithm for the volumetric-modulated arc therapy treatment planning problem, optimizing the trade-off between delivery time and treatment quality. We present a new mixed integer programming model in which the multi-leaf collimator leaf positions, gantry speed, and dose rate are determined simultaneously. Our heuristic is based on column generation; the aperture configuration is modeled in the columns and the dose distribution and time restriction in the rows. To reduce the number of voxels and increase the efficiency of the master model, we aggregate similar voxels using a clustering technique. The efficiency of the algorithm and the treatment quality are evaluated on a benchmark clinical prostate cancer case. The computational results show that a high-quality treatment is achievable using a four-thread CPU. Finally, we analyze the effects of the various parameters and two leaf-motion strategies. |
| Databáze: | OpenAIRE |
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