Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy
Purpose - Robotic systems to assist needle placements for low-dose rate brachytherapy enable conformal dose planning only restricted to path planning around risk structures. We report a treatment planning system (TPS) combining multiple direction needle-path planning with inverse dose optimization a...
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| Hauptverfasser: | , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
May 2022
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| In: |
Zeitschrift für medizinische Physik
Year: 2022, Jahrgang: 32, Heft: 2, Pages: 173-187 |
| ISSN: | 1876-4436 |
| DOI: | 10.1016/j.zemedi.2021.06.003 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1016/j.zemedi.2021.06.003 Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S0939388921000611 
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| Verfasserangaben: | Philipp Aumüller, Andreas Rothfuss, Martin Polednik, Yasser Abo-Madyan, Michael Ehmann, Frank A. Giordano, Sven Clausen |
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| 245 | 1 | 0 | |a Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy |c Philipp Aumüller, Andreas Rothfuss, Martin Polednik, Yasser Abo-Madyan, Michael Ehmann, Frank A. Giordano, Sven Clausen |
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| 520 | |a Purpose - Robotic systems to assist needle placements for low-dose rate brachytherapy enable conformal dose planning only restricted to path planning around risk structures. We report a treatment planning system (TPS) combining multiple direction needle-path planning with inverse dose optimization algorithms. - Methods - We investigated in a path planning algorithm to efficiently locate needle injection points reaching the target volume without puncturing risk structures. A candidate needle domain with all combinations of trajectories is used for the optimization process. We report a modular algorithm for inverse radiation plan optimization. The initial plan with V100>99% is generated by the “greedy optimizer”. The “remove-seed algorithm” reduces the number of seeds in the high dose regions. The “depth-optimizer” varies the insertion depth of the needles. The “coverage-optimizer” locates under-dosed areas in the target volume and supports them with an additional amount of seeds. The dose calculation algorithm is benchmarked on an image set of a phantom with a liver metastasis (prescription dose Dpr=100 Gy) and is re-planned in a commercial CE-marked TPS to compare the calculated dose grids using a global gamma analysis. The inverse optimizer is benchmarked by calculating 10 plans on the same phantom to investigate the stability and statistical variability of the dose parameters. - Results - The path planning algorithm efficiently removes 72.5% of all considered injection points. The candidate needle domain consists of combinations of 1971 tip points and 827 injection points. The global gamma analysis with gamma 1%=2.9 Gy, 1 mm showed a pass rate of 98.5%. The dose parameters were V100=99.1±0.3%, V150=76.4±2.5%, V200=44.5±5.5% and D90=125.9±3.6 Gy and 10.7±1.3 needles with 34.0±0.8 seeds were used. The median of the TPS total running time was 4.4minutes. - Conclusions - The TPS generates treatment plans with acceptable dose coverage in a reasonable amount of time. The gamma analysis shows good accordance to the commercial TPS. The TPS allows taking full advantage of robotic navigation tools to enable a new precise and safe method of minimally invasive low-dose-rate brachytherapy. | ||
| 650 | 4 | |a Brachytherapy | |
| 650 | 4 | |a Inverse optimization | |
| 650 | 4 | |a LDR | |
| 650 | 4 | |a Path planning | |
| 650 | 4 | |a Robotic | |
| 650 | 4 | |a Seeds | |
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| 787 | 0 | 8 | |i Errata |a Aumüller, Philipp, 1989 - |t Erratum to “Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy” [Z Med Phys 32 (2022) 173-187] |d 2025 |w (DE-627)1929894082 |
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