J. Webster Stayman
Papers
16
Total Citations
229
H-Index
7
About
J. Webster Stayman is a prominent biomedical engineer and imaging scientist whose research centers on cone-beam computed tomography (CBCT), advanced image reconstruction, and robotic imaging systems. His work has fundamentally advanced the field of intraoperative and interventional imaging, with a particular focus on optimizing scanner geometry and overcoming key technical limitations of clinical CBCT systems. Stayman's most influential contribution — a self-calibration framework for cone-beam CT geometry using 3D–2D image registration (81 citations) — addressed a critical bottleneck in deploying robotic C-arms along complex, non-circular scanning orbits. By solving the geometric calibration problem without specialized phantoms or rigid mechanical reproducibility, this work unlocked the practical use of task-driven imaging trajectories. His subsequent research extended this paradigm to correct patient motion artifacts, reduce metal-induced image degradation, and expand longitudinal field of view — all persistent clinical challenges. A hallmark of Stayman's approach is his concept of "task-driven" orbit design, wherein scanning trajectories are mathematically optimized for specific diagnostic or interventional goals, rather than defaulting to standard circular orbits. Demonstrated on clinical robotic C-arm platforms, this framework represents a meaningful shift toward adaptive, purpose-built imaging strategies. Across his body of work, Stayman has accumulated nearly 200 citations, reflecting sustained and growing influence in medical imaging physics and systems engineering.
Research Focus
Key Achievements
Top Papers
- 1Self-calibration of cone-beam CT geometry using 3D–2D image registration81 citations · 2016
- 2Correction of patient motion in cone-beam CT using 3D–2D registration38 citations · 2017
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