Yiqun Ma
Papers
8
Total Citations
48
H-Index
4
About
Yiqun Ma is a biomedical imaging researcher specializing in cone-beam computed tomography (CBCT) innovation, with a particular focus on intraoperative imaging systems, robotic C-arm technology, and advanced scanning methodologies. His work addresses fundamental limitations in clinical CBCT, including restricted fields of view, metal artifact interference, and geometric calibration challenges that have historically constrained its utility in surgical settings. Ma's most significant contributions include pioneering extended longitudinal CBCT scanning techniques — such as continuous multi-turn reverse helical and dual-isocenter scans — that dramatically expand the anatomical coverage available during orthopedic and interventional procedures. His research on non-circular scanning orbits has opened new pathways for reducing metal artifacts caused by implants and surgical tools, a persistent challenge in intraoperative imaging. He has also advanced fully automatic geometric calibration methods for non-standard orbits and explored 4D respiratory CBCT for thoracic interventions in free-breathing patients. Collectively accumulating over 48 citations across publications from 2022 to 2025, Ma's research bridges cutting-edge imaging physics with practical clinical workflows. His work is particularly impactful for orthopedic surgery, interventional radiology, and robotic imaging systems, helping translate advanced imaging science into real-world surgical guidance tools.
Research Focus
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Top Papers
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