Image-based therapy monitoring in glioma patients: Evaluation of quantitative MRI data and Deep Learning

Institution: Institute for Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne
Applicant: Kai Roman Laukamp
Funding line:
First and Second Applications

For doctors specializing in brain tumors, it is difficult and time-consuming to assess whether a tumor is growing or if changes are caused by therapy. To determine this, they often have to rely on the temporal course or supplementary and scarcely available tests such as FET PET. A method utilizing quantitative MRI imaging and Deep Learning could help improve therapy and treatment monitoring. This research project aims to develop such a method. Additionally, a language analysis based on Deep Learning is intended to assist the medical team in summarizing the complex disease progressions linguistically and visually.

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