Sebastian Vogt
Siemens Healthcare (United States), Siemens Healthineers (Germany)
Papers
11
Total Citations
53
H-Index
4
About
Sebastian Vogt is a leading researcher at the intersection of robotic x-ray imaging and orthopaedic surgery, whose work is redefining how we acquire and use 3D medical images. His primary contributions lie in cone-beam CT (CBCT) trajectory optimization and image-guided robotic surgery. Vogt’s most-cited paper, “Cone‐beam imaging with tilted rotation axis” (18 citations), demonstrates his pioneering approach to leveraging robotic flexibility to mitigate scatter and noise in CBCT. He has systematically optimized scan orbits for challenging applications like weight-bearing spine and cervical spine imaging, directly improving diagnostic quality in orthopaedics. Beyond imaging, Vogt has developed novel methods for fluoroscopically-guided surgical robots, enabling precise k-wire placement in pelvic trauma surgery without the need for pre-calibrated C-arms—a significant step toward mainstream clinical adoption. His work on statistical shape modeling for automated planning in ankle syndesmosis reduction and dual-energy bone densitometry further showcases his breadth, from quantitative bone health assessment to advanced surgical automation. With a growing citation record and a clear translational focus, Vogt is a key figure shaping the future of intraoperative imaging and robotic assistance.
Research Focus
Key Achievements
Top Papers
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- 4Image-guided robotic k-wire placement for orthopaedic trauma surgery4 citations · 2020
- 5Slot‐scan dual‐energy bone densitometry using motorized X‐ray systems4 citations · 2021
- 6Optimization of cone-beam CT scan orbits for cervical spine imaging3 citations · 2019
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