AI-supported imaging solutions
Local therapies
Cancer treatments such as surgery, radiotherapy and interventional procedures rely on precise imaging to locate tumors, guide therapies and monitor response to treatment. However, the complexity of medical imaging - which includes technologies such as CT, MRI and endoscopy - poses a challenge in terms of standardization and interpretation. Our lighthouse project at the Bavarian Center for Cancer Research (BZKF) brings together experts from different disciplines to develop AI-assisted imaging solutions that improve local cancer treatments and optimize patient outcomes.
Recent advances in artificial intelligence (AI) and image-guided interventions are leading to more precise, personalized cancer treatments. However, the differences in imaging technologies require AI solutions to be tailored to each individual setting, making standardization difficult. In addition, the medical questions answered by AI-based imaging require close collaboration between technical and clinical experts. This lighthouse project will build a strong network at the BZKF sites to advance AI-assisted cancer treatment.
Our initiative focuses on:
🔹 Developing AI-assisted image analysis to improve tumor detection, motion tracking and treatment planning
🔹 Improving real-time imaging technologies, such as MRI-based motion control and AI-assisted lesion tracking
🔹 Creation of standardized, high-quality imaging data at all BZKF centers to promote collaboration and innovation
🔹 Optimizing image guidance for various local cancer treatments, including radiotherapy, interventional radiology, surgery and endoscopy
By pooling expertise from radiology, radiotherapy, surgery, endoscopy, physics and informatics, we will develop synergistic AI solutions that reduce redundancy, increase treatment accuracy and improve patient outcomes.
Our vision is to establish AI-assisted image guidance as the standard for local cancer treatments, including tumor detection, outcome prediction and interventional approaches at all BZKF centers. Over the next two years, we want to:
✅ Establish a link with the existing AI/bioinformatics lighthouse to enable AI-powered imaging solutions
✅ Expand collaboration across all BZKF sites to ensure that these innovations benefit a broad patient base
✅ Create and implement a unified, foundational AI model for image-based segmentation across modalities to ensure consistency and interoperability in imaging research at BZKF centers
This lighthouse project is coordinated at LMU Klinikum München under the leadership of Prof. Guillaume Landry (Department of Radiotherapy) and Prof. Michael Ingrisch (Department of Radiology), with the active participation of all six BZKF centers.
Spokesperson: Prof. Guillaume Landry(Guillaume.Landry@med.uni-muenchen.de), LMU Klinikum München
Deputy Spokesperson: Prof. Michael Ingrisch, LMU Klinikum München
