Sepideh Hatamikia

Danube Private University, Medical University of Vienna

Papers

3

Total Citations

55

H-Index

3

About

Sepideh Hatamikia is a leading researcher in medical imaging, specializing in cone-beam computed tomography (CBCT) for interventional and orthopedic applications. Her work focuses on optimizing source-detector trajectories to enhance image quality, expand field-of-view, and reduce interference during image-guided surgery and radiation therapy. Her comprehensive review on trajectory optimization (46 citations) has become a key reference in the field, establishing her as an authority on non-circular acquisition orbits. She has also pioneered extended longitudinal and lateral 3D imaging through continuous dual-isocenter CBCT scans, addressing the challenge of imaging long and wide anatomies in orthopedic procedures. Additionally, Hatamikia has advanced fast CBCT reconstruction using convolutional neural networks for arbitrary robotic C-arm orbits, enabling rapid, high-quality imaging in time-sensitive interventional settings. Her innovative contributions are shaping the future of intraoperative imaging, improving surgical accuracy and patient outcomes.

Research Focus

Key Achievements

3
H-Index
3
Papers
55
Total Citations
18
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: 23
🏛 Institutions: Danube Private University, Medical University of Vienna

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago