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| Journal Article | GSI-2024-00807 |
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2024
IOP Publ.
Bristol
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Please use a persistent id in citations: doi:10.1088/1361-6560/ad7d59 doi:10.15120/GSI-2024-00807
Abstract: Objective. Real-time adaptive particle therapy is being investigated as a means to maximize the treatment delivery accuracy. To react to dosimetric errors, a system for fast and reliable verification of the agreement between planned and delivered doses is essential. This study presents a clinically feasible, real-time 4D-dose reconstruction system, synchronized with the treatment delivery and motion of the patient, which can provide the necessary feedback on the quality of the delivery.Approach. A GPU-based analytical dose engine capable of millisecond dose calculation for carbon ion therapy has been developed and interfaced with the next generation of the dose delivery system (DDS) in use at Centro Nazionale di Adroterapia Oncologica (CNAO). The system receives the spot parameters and the motion information of the patient during the treatment and performs the reconstruction of the planned and delivered 4D-doses. After each iso-energy layer, the results are displayed on a graphical user interface by the end of the spill pause of the synchrotron, permitting verification against the reference dose. The framework has been verified experimentally at CNAO for a lung cancer case based on a virtual phantom 4DCT. The patient's motion was mimicked by a moving Ionization Chamber (IC) 2D-array.Mainresults. For the investigated static and 4D-optimized treatment delivery cases, real-time dose reconstruction was achieved with an average pencil beam dose calculation speed up to more than one order of magnitude smaller than the spot delivery. The reconstructed doses have been benchmarked against offline log-file based dose reconstruction with the TRiP98 treatment planning system, as well as QA measurements with the IC 2D-array, where an average gamma-index passing rate (3%/3 mm) of 99.8% and 98.3%, respectively, were achieved.Significance. This work provides the first real-time 4D-dose reconstruction engine for carbon ion therapy. The framework integration with the CNAO DDS paves the way for a swift transition to the clinics.
Keyword(s): Humans (MeSH) ; Radiotherapy Dosage (MeSH) ; Heavy Ion Radiotherapy: methods (MeSH) ; Time Factors (MeSH) ; Radiotherapy Planning, Computer-Assisted: methods (MeSH) ; Movement (MeSH) ; Radiation Dosage (MeSH) ; Four-Dimensional Computed Tomography (MeSH) ; Phantoms, Imaging (MeSH) ; Lung Neoplasms: radiotherapy (MeSH) ; Radiometry: methods (MeSH) ; adaptive therapy ; moving targets ; particle therapy ; real-time dose calculation
- ddc:530
Note: Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence.Grants: European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant
Contributing Institute(s): Research Program(s):
- 633 - Life Sciences – Building Blocks of Life: Structure and Function (POF4-633) (POF4-633)
- SUC-GSI-Darmstadt - Strategic university cooperation GSI-TU Darmstadt (SUC-GSI-DA) (SUC-GSI-DA)
- RAPTOR - Real-time Adaptive Particle Therapy of Cancer (955956) (955956)
- DFG project G:(GEPRIS)491382106 - Open-Access-Publikationskosten / 2025-2027 / GSI Helmholtzzentrum für Schwerionenforschung (491382106) (491382106)
Appears in the scientific report 2024
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