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Master’s thesis from Pattern Recognition Lab receives ILW Förderpreis

The thesis entitled “Prediction of Task-Aware Cone-Beam CT Trajectories from Fluoroscopy Images” has received the ILW Förderpreis für die beste Masterarbeit 2020/2021. It investigates how a neural network can be used to predict incremental updates on a non-circular C-arm CT trajectory for improved image quality in interventional settings. The work has been conducted by Mareike Thies at the pattern recognition lab in cooperation with the Johns Hopkins University (https://arcade.cs.jhu.edu/) and was supervised by Jennifer Maier, Mathias Unberath and Andreas Maier. Results of the thesis have been published in the International Journal for Computer Assisted Radiology and Surgery (https://link.springer.com/article/10.1007/s11548-020-02249-1).