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About

S. Ouadah is a medical imaging researcher whose work centers on cone-beam computed tomography (CBCT), with particular expertise in geometric calibration, motion correction, and robotic C-arm systems. Operating at the intersection of image reconstruction and interventional radiology, Ouadah has made significant contributions to advancing the clinical utility of CBCT for image-guided procedures. Ouadah's most impactful contribution — a self-calibration method for cone-beam CT geometry using 3D–2D image registration — has garnered 81 citations since its 2016 publication, reflecting its broad adoption within the field. This work elegantly addressed the longstanding challenge of achieving accurate geometric calibration for robotic C-arms executing complex, non-circular orbits, enabling improved image quality and dose reduction without the burden of traditional calibration protocols. Building on this foundation, Ouadah extended the 3D–2D registration framework to correct patient motion artifacts in CBCT — a persistent problem given the procedure's lengthy scan times — earning an additional 38 citations. Further demonstrating a systems-level perspective, Ouadah pioneered task-driven orbit design on clinical robotic C-arm platforms, optimizing imaging trajectories for specific diagnostic tasks. Together, these contributions represent a coherent and clinically meaningful research program that has meaningfully advanced the precision and flexibility of intraoperative CBCT imaging.