December 05 Dec 05
12:00 PM - 01:00 PM
Tuesday Tue


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Stanford University School of Medicine

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Stanford, CA 94305
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Medical Physics Seminar - Ke Sheng

Particle Therapy Exploiting Physical and Biological Dimensions

12:00pm – 1:00pm Seminar & Discussion

Zoom Webinar

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Dr. Ke Sheng, Professor, Vice Chair of Medical Physics at the University of California, San Francisco

Dr. Ke Sheng graduated from the University of Science and Technology of China with B.S. and M.S. before obtaining his Ph.D. in Medical Physics from the University of Wisconsin, Madison, in 2004. He was then an Assistant and Associate Professor at the University of Virginia. In 2011, Dr. Sheng moved to the University of California, Los Angeles, where he was promoted to Full Professor with Tenure and Director of Physics Research. In 2022, he joined UCSF Radiation Oncology as the Vice Chair of Medical Physics. He has broad research interests in radiotherapy and medical imaging, including treatment planning, optimization, image reconstruction, processing, machine learning, robotics and radiobiology. He was elected Fellow of AAPM in 2016. As one of the most funded active medical physicists, his research has been supported by NIH, DOE, DOD, and industrial partners. He has published over 170 peer-reviewed papers and mentored over 20 Ph.D. students.


Protons and heavy ions have attracted attention and gained increasing adoption in the past few decades. Their distinct physical and biological properties create unique opportunities to attack the tumors but at a cost of considerably increased complexity. Particle therapies tend to utilize a few beams, each heavily contributing to the plan quality yet sensitive to range and positioning uncertainties. The conventional manual process of creating the plans cannot sufficiently navigate the entire solution space for optimal physical dose distribution, not to mention the additional degrees of biological freedom, including RBE, FLASH, and hypoxia. The presentation aims to describe a mathematical framework that supports navigation of the high-dimensional space. Specific applications include robust beam orientation optimization, LET, RBE, and hypoxia hypoxia-weighted planning, and dose rate-optimized radiotherapy will be highlighted.