Master’s thesis from Pattern Recognition Lab receives ILW Förderpreis

Symbolic picture for the article. The link opens the image in a large view.

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 ( 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 (