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Informatics Research Seminar: Rapid learning in intensity modulated radiation treatment planning
March 1 @ 4:00 pm - 5:00 pm UTC+0
Speaker: Yaorong Ge, PhD
Presented from UNC-C
Broadcast Link: SEMINAR
The Informatics Research Seminar Series is sponsored by Duke University and a collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.
Intensity Modulated Radiation Therapy (IMRT) is a major tool in cancer treatment. However, the current process for generating clinically optimal IMRT plans takes significant time and resources while the quality of planning is highly dependent on planner experience. A clinically optimal IMRT plan must maximize radiation dose in the cancer target and minimize dose in surrounding normal tissues, especially organs at risk. IMRT planning is an inverse optimization problem that requires many constraints and is highly non-linear. Our understanding of the effects of radiation to tumor and normal tissues is still limited while patient clinical conditions vary significantly. Thus, the best constraints for each patient must be determined and requires multiple trial-and-error iterations. In this talk, we will discuss the challenges of IMRT planning and our research efforts in developing a rapid learning framework for automatic determination of individualized dose volume constraints that enable efficient generation of high quality IMRT plans.
Yaorong Ge, PhD, is an associate professor of health informatics in the Dept. of Software and Information Systems, College of Computing and Informatics at UNC Charlotte. He received his BS in computer science and engineering from Zhejiang University, China, and his MS and PhD in computer science from Vanderbilt University. Prior to joining UNCC, he held faculty positions in computer science, biomedical engineering, and radiology at Wake Forest University and Virginia Tech. Dr. Ge’s research has focused mainly on technology development in medical imaging and health informatics. He was a part of the virtual colonoscopy research group that invented and advanced the development of virtual colonoscopy and computer aided colorectal polyp detection. His recent projects include the development of an imaging informatics platform for population-based cardiovascular studies, a modeling and decision support framework for treatment planning in intensity modulated radiation therapy, and a clinical data warehouse that integrates clinical data for nearly 2 million patients at Wake Forest Baptist Medical Center. Dr. Ge also led the development of a novel technology for patient-controlled sharing of clinical imaging data among unaffiliated rural and urban healthcare providers.