Masashi Yagi

Papers

Total Citations

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About

Masashi Yagi is a researcher in medical physics and radiation oncology, with a focus on improving the precision of robotic radiosurgery systems. His key contributions center on respiratory motion management, particularly for the CyberKnife® platform. In his most-cited work, "Reference respiratory waveforms by minimum jerk model analysis" (2015), Yagi developed a novel approach to modeling patient breathing patterns using minimum jerk theory. This method reduces mechanical stress on the robotic system and enhances tracking accuracy by smoothing rapid, irregular respiratory motions—critical for delivering radiation to moving tumors. His work directly addresses the challenge of maintaining sub-2 mm tracking accuracy in Synchrony® mode, a cornerstone of real-time tumor tracking. While his citation count is modest, Yagi’s research has practical implications for improving treatment efficiency and reducing equipment wear in clinical settings. His contributions underscore the importance of biomechanical modeling in advancing image-guided radiotherapy, offering a pathway to safer and more reliable motion-compensated cancer treatments.