Young-Bin Cho MSc, PhD
Assistant Professor
Medical Physicist
Contact Info
T: (416) 946-4501 5593
Website
Location
Princess Margaret Cancer Centre
610 University Avenue
Toronto, ON, M5G 2M9
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Degree/Qualification
BSc, Mechanical Engineering, Hanyang University
MSc, Mechanical Engineering, Korea Advanced Institute of Science & TechnologyMSc, Mechanical Engineering, Korea Advanced Institute of Science & Technology
PhD, Mechanical Engineering, Korea Advanced Institute of Science & Technology
Certificate, Canadian College of Physicists in Medicine Member
Professional Memberships
Member, American Association of Physicists in Medicine
Member, Canadian College of Physicists in Medicine
Member, American Society Therapeutic Radiology Oncology
Member, Korean Association of Medical Physicists in North America
Appointments
Assistant Professor, Department of Radiation Oncology, University of TorontoAssistant Professor, Department of Radiation Oncology, University of Toronto
Medical Physicist, Princess Margaret Hospital/University Health Network
Clinical Interests
Adaptive radiation therapy for gynecological cancers, Image guided gamma knife Perfexion, On-line quality assurance system
Research Interests
Calibration and inspection of radiotherapy system, Machine vision and artificial intelligence, Tumor modeling and adaptive radiotherapy

Research/Teaching

Research Synopsis

  1. Calibration and inspection of radiotherapy system: Precise radiation delivery requires rigorous quality control of the each component of radiotherapy and image guidance system. Kilovoltage CBCT became an essential part of modern radiotherapy system for image guidance. I developed the first complete geometric calibration method for CBCT system (Med Phys. 32(4): 968-983, 2005) and it has been applied to evaluate the image guidance system of modern radiotherapy. The method was patented (Method and system for calibration of source and detector, Patent, Granted, 7,147,373 B2, United States) and commercialized. I also developed the method to inspect the geometric integrity of the dedicated radiosurgery system (Med Phys. 37(3): 1325-1331, 2010). The method found the dislodged isotope in Gamma knife system which was initially regarded as missing source (Med Phys. 40(9):097101. 2013). It leads the manufacturer redesign the system to better secure the radio-isotope sources. The method was patented (Phantoms and methods for verification in radiosurgery systems, Patent, Granted, 8,039,790, United States) and licensed. It is currently under commercialization process. 
  2. Machine vision and artificial intelligence: I have worked on the understanding of image information and its automatic process for machine vision. Feature extraction methods such as 3D depth perception (Perpendicularity Measuring Method and Apparatus thereof, Patent, Granted, 5,774,210, United States), real time tomosynthesis (Apparatus and method for separation images of multi-layered circuit board, Patent, Granted, 08/997,060, United States), and infrared signal processing were developed, published and patented. Artificial intelligence using parallel processing such as neural network was also investigated and a new stochastic network system was developed (Journal of Intelligent & Fuzzy Systems. 7: 267-282, 1999). 
  3. Tumor modeling and adaptive radiotherapy: Understanding of tumor evolution during radiotherapy is very important to apply adaptive radiotherapy. Extensive amount of works have been done to understand the tumor of gynecological patients. Numerical models of the tumor behavior were developed and optimal adaptation strategies were developed.

Publications and Awards

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