Franz Pfeiffer

Klinikum rechts der Isar, Technical University of Munich

Papers

Total Citations

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About

Franz Pfeiffer is a pioneering researcher at the intersection of robotics and medical imaging, with a specialized focus on advancing X-ray computed tomography (CT) through intelligent mechanical systems. His work centers on integrating seven-degree-of-freedom robotic arms as adaptive sample holders within laboratory CT setups, fundamentally reimagining how tomographic acquisitions are performed. Pfeiffer's most notable contribution, his 2022 paper introducing the robotic sample holder for X-ray CT, has garnered 12 citations and laid the groundwork for a new paradigm in flexible, task-specific imaging trajectories. Building on this foundation, his subsequent research has tackled critical practical challenges: optimizing acquisition trajectories at runtime to reduce measurement duration and minimize beam-hardening artifacts in complex samples, and developing seamless spherical trajectory execution methods that expand the geometric possibilities of CT scanning. Together, these publications represent a coherent and ambitious research program aimed at making CT systems more adaptable, efficient, and capable of handling structurally complex specimens. With a growing citation record and highly focused contributions, Pfeiffer's work is positioning robotic-assisted tomography as a promising frontier for both industrial inspection and biomedical imaging research communities worldwide.