Wolfgang Holub

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About

Wolfgang Holub is a leading researcher at the intersection of robotics and medical imaging, with a primary focus on advancing X-ray computed tomography (CT) through robotic automation. His key research areas include robot-guided CT systems, trajectory optimization, and artifact reduction in 3D reconstruction. Holub’s major contribution lies in developing novel approaches for optimizing CT scanning trajectories based on object geometry, enabling more precise and artifact-free imaging. His foundational work, "Robot Guided Computed Tomography" (2020), has garnered 9 citations, while his highly influential paper "Trajectory Optimization in Computed Tomography Based on Object Geometry" (2022) has earned 7 citations. In this latter work, Holub and his team introduced a groundbreaking method for selecting projection sets that minimize image artifacts in RoboCT applications—a significant leap forward for non-destructive testing and medical diagnostics. His research has direct implications for improving the accuracy and efficiency of CT scans in industrial and clinical settings, positioning him as a key innovator in robotic imaging. Holub’s work continues to shape the future of automated tomography, offering practical solutions for high-quality 3D reconstruction.