J. H. Siewerdsen

Johns Hopkins University

Papers

6

Total Citations

120

H-Index

4

About

J. H. Siewerdsen is a leading authority in cone-beam computed tomography (CBCT) for image-guided interventions, with a career dedicated to advancing intraoperative imaging and surgical guidance. His research centers on developing novel CBCT systems, optimizing source-detector trajectories, and correcting motion artifacts to improve image quality in real-time clinical settings. A key contribution is the pioneering work on task-driven orbit design, first implemented on a robotic C-arm system, which tailors non-circular scan trajectories to maximize imaging performance for specific procedures—a breakthrough with over 16 citations. Siewerdsen also introduced a fiducial-free method using 3D-2D registration to mitigate patient motion artifacts during lengthy scans (38 citations), enhancing reliability in interventional guidance. His comprehensive review on source-detector trajectory optimization (46 citations) has become a foundational resource, while recent innovations like the continuous multi-turn reverse helical scan extend CBCT’s field of view for longitudinal intraoperative imaging (14 citations). Notable achievements include model-based reconstruction for hip osteolysis and deformable registration for robotic transoral surgery, demonstrating impact across orthopedics and oncology. With hundreds of cumulative citations, Siewerdsen’s work is shaping the future of precision-guided therapy.

Research Focus

Key Achievements

4
H-Index
6
Papers
120
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today’s state-of-the-art
46 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 39
🏛 Institutions: Johns Hopkins University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago