Prof. Dr. Christoph Bert

Department of Radiation Oncology

Research projects

  • Medical physics in radiation therapy with a focus on quality assurance for brachytherapy
  • Management of organ motion (4DCT, tracking)
  • Optimization of imaging for RT treatment planning.
  • Electromagnetic tracking for quality assurance in interstitial brachytherapy
  • Digital Twin for online validation of Medical device networks –
  • Optimization of MR imaging for radiotherapy
  • Risk management in radiation therapy –
  • Several topics w.r.t. Optimizing the therapy
  • Quality assurance

  • Bildgestützte Brachytherapie mit navigierter Echtzeit-Nadelführung

    (Third Party Funds Single)

    Project leader: ,
    Term: 1. November 2025 - 31. October 2028
    Acronym: ST-DFG_SBH_BE 4266/5-1
    Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)

    Interventional radiation therapy (brachytherapy) suffers from the lack of dedicated and flexible protocols for the quantitative assessment of needle insertion accuracy throughout the intervention. Despite the recent advances in the use of cone-beam CT (CBCT) imaging for guidance, the effective implementation of image-guided procedures is limited by procedural constraints. Also, the optimal trade-off between accurate 3D imaging on one hand and fast verification of the needle position during the procedure on the other is largely unexplored. The proposed project focuses therefore on specific developments towards the implementation of image-guided protocols in brachytherapy featuring real-time navigated needle insertion. We aim at exploiting the integration of infrared navigation technologies with mobile CBCT imaging to develop image-guided protocols, with the twofold aim to provide quantitative verification methods and improve image quality. This is intended to address brachytherapy treatments at different treatment sites, including those where image quality is degraded by the effects of intra-fractional motion. We also aim at leveraging Artificial intelligence (AI) methods to enable accurate and reliable needle tracking in X-ray imaging, thus maximizing the confidence level in the execution of accurate brachytherapy treatments. The overall scientific goal of the proposed project will be achieved through the following specific objectives, as a collaborative research effort across three different research institutions sharing the same technological platform: (i) to exploit integrated infrared tracking technologies for navigated needle insertion; (ii) to provide automated tracking of the needle position in X-ray verification images based on AI methods; (iii) to optimize imaging verification protocols relying on the best combination of 3D/sparse 2D imaging; (iv) to enhance CBCT image quality, especially for treatment sites undergoing significant breathing motion. The achievement of such objectives is expected to lead to the implementation of reliable image verification protocols in brachytherapy, complementing real-time guided needle insertion to maximize the accuracy.

  • Verbundprojekt: Intelligente Tumorverfolgung für die Strahlentherapie (INSIGHT) - Teilvorhaben: Echtzeitverfolgung von Tumorzielvolumina – Autosegmentierung und Validierung

    (Third Party Funds Group – Sub project)

    Overall project: Intelligente Tumorverfolgung für die Strahlentherapie (INSIGHT)
    Project leader: ,
    Term: 1. June 2024 - 31. May 2027
    Acronym: ST-BMBF_INSIGHT
    Funding source: BMBF / Verbundprojekt
  • Entwicklung eines Datenanalyse- und Kommunikations-Clusters zur Unterstützung klinischer Abläufe mit dem Ziel der Steigerung der Behandlungsqualität

    (Third Party Funds Single)

    Project leader:
    Term: 1. April 2024 - 31. March 2027
    Acronym: DAKomMed
    Funding source: Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie (StMWi) (seit 2018)

2025

2024

2023

2022

2021

2020

Related Research Fields

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