Adrian Thummerer
Papers
1
Total Citations
6
H-Index
1
About
Adrian Thummerer is a researcher whose work sits at the intersection of medical imaging, robotics, and precision-guided intervention. His primary research focuses on advancing cone-beam computed tomography (CBCT) by developing novel acquisition trajectories and integrating real-time tracking systems to overcome long-standing image quality limitations. His most-cited paper, "Reduction of cone‐beam CT artifacts in a robotic CBCT device using saddle trajectories with integrated infrared tracking" (2024, 6 citations), addresses a critical challenge: the cone-beam artifacts that plague conventional circular CBCT scans. By proposing and validating a saddle trajectory—a non-circular path that provides more complete data—combined with infrared tracking for motion compensation, Thummerer demonstrates a practical, hardware-integrated solution that significantly improves image reliability. This work is particularly impactful for robotic CBCT systems, where precise motion control and artifact reduction are essential for applications in image-guided surgery and radiotherapy. His contributions represent a meaningful step toward higher-quality, more dependable volumetric imaging in clinical settings, bridging the gap between theoretical reconstruction algorithms and real-world robotic hardware constraints.
Research Focus
Key Achievements
Top Papers
- 1