Papers
4
Total Citations
73
H-Index
3
About
Tom Russ is a leading researcher in advanced cone-beam computed tomography (CBCT) for image-guided interventions, with a focus on non-circular source-detector trajectories. His work addresses critical limitations in intraoperative imaging, particularly the restricted field-of-view and metal artifacts from surgical tools. Russ’s comprehensive review on trajectory optimization (46 citations) established the state-of-the-art for robotic C-arm systems, while his development of continuous multi-turn reverse helical scans (14 citations) enabled extended longitudinal 3D imaging during surgery—a breakthrough for visualizing long anatomical sites. He pioneered metal-tolerant noncircular orbit designs (10 citations) that mitigate artifacts without algorithmic interpolation, improving image quality in the presence of implants. Most recently, Russ has applied convolutional neural networks for fast CBCT reconstruction (3 citations), enabling real-time imaging with arbitrary robotic orbits. His work bridges hardware innovation and computational methods, directly impacting image-guided surgery and radiation therapy. With over 70 total citations and a trajectory of increasing influence, Russ is shaping the future of intraoperative CBCT by making it more flexible, artifact-resistant, and clinically practical.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4