Aina Tersol

Johns Hopkins University

Papers

1

Total Citations

46

H-Index

1

About

Aina Tersol is a leading researcher in medical imaging, with a primary focus on cone-beam computed tomography (CBCT) and its optimization for clinical applications. Her work centers on advancing CBCT technology for image-guided surgery, radiation therapy, and diagnostic imaging, including breast and orthopaedic imaging. Tersol’s most significant contribution is her comprehensive review on source-detector trajectory optimization in CBCT, which has garnered 46 citations since 2022. This work systematically analyzes non-circular source-detector trajectories, a critical innovation for improving image quality and reducing artifacts in CBCT systems. By synthesizing the state-of-the-art in trajectory design, she has provided a foundational resource for researchers and engineers seeking to enhance CBCT performance. Her research addresses the growing demand for more precise and adaptable imaging techniques, directly impacting patient outcomes in surgical and therapeutic settings. Tersol’s ability to distill complex technical challenges into actionable insights marks her as a key figure in the evolution of CBCT, with her work serving as a benchmark for future developments in the field.

Research Focus

Key Achievements

1
H-Index
1
Papers
46
Total Citations
46
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 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Johns Hopkins University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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