Papers
10
Total Citations
206
H-Index
7
About
Tina Ehtiati is a prominent biomedical imaging researcher whose work centers on cone-beam computed tomography (CBCT), with particular expertise in geometric calibration, motion correction, orbit optimization, and image reconstruction for intraoperative and interventional imaging systems. Her research has meaningfully advanced the clinical utility of robotic C-arm systems by tackling some of the most persistent technical challenges in the field. Among her most influential contributions is a self-calibration framework for CBCT geometry using 3D–2D image registration, which has garnered over 80 citations and enables accurate reconstruction across complex, non-circular scanning orbits — a critical capability for next-generation robotic C-arms. Her fiducial-free approach to correcting patient motion during CBCT scans, cited nearly 40 times, offers a practical solution to artifact reduction in real clinical workflows. She has also pioneered task-driven orbit design, optimizing source-detector trajectories for specific imaging goals such as neuroradiology applications and metal artifact reduction. More recently, her work on extended longitudinal CBCT imaging via continuous multi-turn helical scanning expands intraoperative visualization to anatomical regions previously beyond reach. Across her body of work, Ehtiati consistently bridges theoretical innovation with clinical implementation, making her a distinctive voice in advanced medical imaging research.
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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