Q. Wang Song
Papers
1
Total Citations
26
H-Index
1
About
Dr. Q. Wang Song is a leading researcher in medical physics and radiation oncology, with a primary focus on advancing real-time motion management in abdominal cancer therapy. Her most impactful work centers on integrating ultrasound imaging with machine learning to overcome critical limitations in radiation delivery. In her landmark 2019 study, cited 26 times, Dr. Song pioneered a 2D ultrasound-based system that uses machine learning algorithms to track intra-fraction respiratory motion during abdominal radiation therapy. This breakthrough directly addressed the slow processing speeds of earlier ultrasound systems, which previously confined motion tracking to breath-hold conditions. By enabling continuous, real-time monitoring during free-breathing treatments, her work significantly improves targeting accuracy for moving tumors, reducing radiation exposure to healthy tissues. Dr. Song’s contributions bridge the gap between imaging physics and clinical application, offering a non-invasive, radiation-free alternative to X-ray-based tracking. Her innovative use of robotic ultrasound and artificial intelligence positions her at the forefront of adaptive radiotherapy, with ongoing implications for safer, more precise cancer care.
Research Focus
Key Achievements
Top Papers
- 1