Online Adaptive Radiotherapy for Locally Advanced Lung Cancer

Envisaged AI dose accumulation workflow.

The objective of project S3, carried out at the LMU University Hospital Munich, is to develop a novel workflow for dose accumulation using deep learning, tailored to lung cancer patients treated with MR-guided online adaptive radiotherapy. To this aim, deformation vector fields (DVFs) are required to sum up the dose distributions of the individual treatment fractions on the reference planning anatomy. Since the generation of DVFs is generally improved by providing additional constraints, such as organ boundaries, project S3 aims at employing automated segmentation of the thorax region to guide the deformation. The first objective of the project will thus be to establish an MR-based deep learning auto-segmentation framework tailored to the lung region and capable of segmenting the lung, heart, esophagus, spinal cord as well as the tumor itself. In a second step, a deep convolutional neural network will be trained to output DVFs directly from a given pair of input images (fraction and planning, see Figure). Finally, the DVFs will be used to compute accumulated doses and compared to a state-of-the-art non-AI accumulation workflow. The accumulated doses will serve as a basis for analysis in terms of patient outcome modelling as suggested in subproject S5 and will also be used in subprojects S6 and S4.

Funded by the 2021 round Translational Oncology of the German Cancer Aid in a collaboration including the University Hospitals in Heidelberg, Tübingen and the Ludwigs-Maximilians-University (LMU)
Funded by the 2021 round Translational Oncology of the German Cancer Aid in a collaboration including the University Hospitals in Heidelberg, Tübingen and the Ludwigs-Maximilians-University (LMU)

DKH project number 70114708

Guillaume Landry
Guillaume Landry
Professor of Image Guided Radiation Therapy

My research interests include image guidance and artificial intelligence.

Christopher Kurz
Christopher Kurz
Group Leader in MR Guided Radiation Therapy

My research interests include MRgRT and CBCT imaging.

Chengtao Wei
Chengtao Wei
Doctoral Student

My PhD project is on AI and dose accumulation for MRgRT.