Christopher Kurz
Papers
1
Total Citations
6
H-Index
1
About
Christopher Kurz is a leading researcher in medical imaging physics, with a primary focus on advancing cone-beam computed tomography (CBCT) for clinical applications. His key contributions center on developing novel acquisition trajectories and artifact reduction techniques to improve image quality in robotic CBCT systems. Notably, his 2024 work on "Reduction of cone‐beam CT artifacts in a robotic CBCT device using saddle trajectories with integrated infrared tracking" introduces an innovative approach to mitigate cone-beam artifacts—a persistent challenge that degrades image reliability in conventional circular scans. By combining non-circular saddle trajectories with real-time infrared tracking, Kurz demonstrates how to achieve more complete data sampling, directly enhancing diagnostic accuracy. This paper has already garnered 6 citations, reflecting its immediate relevance to the field. Kurz’s research bridges engineering and clinical practice, offering practical solutions for higher-quality 3D imaging in areas like radiotherapy and interventional radiology. His work is essential reading for students and researchers interested in the next generation of CBCT technology, where precision and artifact control are paramount.
Research Focus
Key Achievements
Top Papers
- 1