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    • Overview
    • Project 1 – Dose accumulation and uncertainty estimation
    • Project 2 – Automated segmentation and contour propagation
    • Project 3 – CBCT enhancement strategies for adaptive ion beam therapy
    • Project 4 – Advanced use of Magnetic Resonance Imaging in Adaptive Intensity Modulated Proton Therapy
    • Project 5 – 4D MR Imaging and motion modelling techniques for adaptive proton therapy
    • Project 6 – Optimizing the Plan of the Day
    • Project 7 – Robust optimization for anatomical variations
    • Project 8 – Real-time 4D-dose calculation to assess the efficacy of motion mitigation strategies
    • Project 9 – Automated and fast machine and delivery log-file based QA
    • Project 10 – Plan approval for daily plan adaptation
    • Project 11 – Robust optimization considering uncertainties in the frame of proton adaptive radiation therapy
    • Project 12 – Development of an end-to-end test workflow for all RAPTOR real-time adaptive PT components
    • Project 13 – Towards automated prompt-gamma treatment verification: Identification and classification of clinically relevant deviations
    • Project 14 – Dose quantification from PG imaging for adaptive planning
    • Project 15 – Proton Radiography for real-time Intensity Modulated Proton Therapy plan adaptation
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Menu
  • Home
  • Projects
    • Overview
    • Project 1 – Dose accumulation and uncertainty estimation
    • Project 2 – Automated segmentation and contour propagation
    • Project 3 – CBCT enhancement strategies for adaptive ion beam therapy
    • Project 4 – Advanced use of Magnetic Resonance Imaging in Adaptive Intensity Modulated Proton Therapy
    • Project 5 – 4D MR Imaging and motion modelling techniques for adaptive proton therapy
    • Project 6 – Optimizing the Plan of the Day
    • Project 7 – Robust optimization for anatomical variations
    • Project 8 – Real-time 4D-dose calculation to assess the efficacy of motion mitigation strategies
    • Project 9 – Automated and fast machine and delivery log-file based QA
    • Project 10 – Plan approval for daily plan adaptation
    • Project 11 – Robust optimization considering uncertainties in the frame of proton adaptive radiation therapy
    • Project 12 – Development of an end-to-end test workflow for all RAPTOR real-time adaptive PT components
    • Project 13 – Towards automated prompt-gamma treatment verification: Identification and classification of clinically relevant deviations
    • Project 14 – Dose quantification from PG imaging for adaptive planning
    • Project 15 – Proton Radiography for real-time Intensity Modulated Proton Therapy plan adaptation
  • Members
    • Beneficiaries
    • Supervisors
    • ESRs
    • Partners
    • External Advisory Board
  • Events
  • News&Articles
  • E-learning
Contact us
  • Home
  • Projects
    • Overview
    • Project 1 – Dose accumulation and uncertainty estimation
    • Project 2 – Automated segmentation and contour propagation
    • Project 3 – CBCT enhancement strategies for adaptive ion beam therapy
    • Project 4 – Advanced use of Magnetic Resonance Imaging in Adaptive Intensity Modulated Proton Therapy
    • Project 5 – 4D MR Imaging and motion modelling techniques for adaptive proton therapy
    • Project 6 – Optimizing the Plan of the Day
    • Project 7 – Robust optimization for anatomical variations
    • Project 8 – Real-time 4D-dose calculation to assess the efficacy of motion mitigation strategies
    • Project 9 – Automated and fast machine and delivery log-file based QA
    • Project 10 – Plan approval for daily plan adaptation
    • Project 11 – Robust optimization considering uncertainties in the frame of proton adaptive radiation therapy
    • Project 12 – Development of an end-to-end test workflow for all RAPTOR real-time adaptive PT components
    • Project 13 – Towards automated prompt-gamma treatment verification: Identification and classification of clinically relevant deviations
    • Project 14 – Dose quantification from PG imaging for adaptive planning
    • Project 15 – Proton Radiography for real-time Intensity Modulated Proton Therapy plan adaptation
  • Members
    • Beneficiaries
    • Supervisors
    • ESRs
    • Partners
    • External Advisory Board
  • Events
  • News&Articles
  • E-learning
Menu
  • Home
  • Projects
    • Overview
    • Project 1 – Dose accumulation and uncertainty estimation
    • Project 2 – Automated segmentation and contour propagation
    • Project 3 – CBCT enhancement strategies for adaptive ion beam therapy
    • Project 4 – Advanced use of Magnetic Resonance Imaging in Adaptive Intensity Modulated Proton Therapy
    • Project 5 – 4D MR Imaging and motion modelling techniques for adaptive proton therapy
    • Project 6 – Optimizing the Plan of the Day
    • Project 7 – Robust optimization for anatomical variations
    • Project 8 – Real-time 4D-dose calculation to assess the efficacy of motion mitigation strategies
    • Project 9 – Automated and fast machine and delivery log-file based QA
    • Project 10 – Plan approval for daily plan adaptation
    • Project 11 – Robust optimization considering uncertainties in the frame of proton adaptive radiation therapy
    • Project 12 – Development of an end-to-end test workflow for all RAPTOR real-time adaptive PT components
    • Project 13 – Towards automated prompt-gamma treatment verification: Identification and classification of clinically relevant deviations
    • Project 14 – Dose quantification from PG imaging for adaptive planning
    • Project 15 – Proton Radiography for real-time Intensity Modulated Proton Therapy plan adaptation
  • Members
    • Beneficiaries
    • Supervisors
    • ESRs
    • Partners
    • External Advisory Board
  • Events
  • News&Articles
  • E-learning

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Papers

  • Generation and evaluation of anatomy-preserving virtual CT for online adaptive proton therapy
  • Feasibility of Monte Carlo dropout-based uncertainty mapsto evaluate deep learning-based synthetic CTs for adaptiveproton therapy
  • Potential margin reduction in prostate cancer proton therapy with prompt gamma imaging for online treatment verification
  • Inter- and intrafractional 4D dose accumulation for evaluating ΔNTCP robustness in lung cancer
  • Patient-specific neural networks for contour propagation in online adaptive radiotherapy
  • Dosimetric comparison of autocontouring techniques for online adaptive proton therapy
  • Deep learning based uncertainty prediction of deformable image registration for contour propagation and dose accumulation in online adaptive radiotherapy

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RAPTOR project has received funding from the European Union’s Horizon 2020 Marie Skłodowska-Curie Actions under Grant Agreement No. 955956.

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