Oliver Hornung
Papers
2
Total Citations
8
H-Index
2
About
Oliver Hornung is a researcher specializing in medical imaging and robotic C-arm systems, with a focus on enhancing spatial accuracy for interventional radiology and surgery. His major contributions lie in model-based calibration techniques, which are critical for applications like cone beam computed tomography and 2D/3D overlays. In his 2016 paper, he experimentally evaluated the accuracy of C-arm pose estimation using X-ray images, demonstrating how kinematic and dynamic models can achieve the precision needed for advanced imaging. His 2018 work further refined this approach, developing a robust calibration method that improves the reliability of 2D/3D overlays—a tool that projects pre-recorded 3D volumes onto live 2D X-rays to guide clinicians. Though his citation counts are modest (4 each), these foundational studies have practical implications for improving surgical outcomes and reducing procedural risks. Hornung’s work bridges robotics and medical imaging, offering a systematic solution to a persistent challenge in clinical settings. His research is particularly valuable for students and engineers interested in the intersection of computer vision, calibration, and healthcare technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2Model-Based Calibration of a Robotic C-Arm System Using X-Ray Imaging4 citations · 2018