Decision Support in Radiation Treatment Planning
|When||Nov 06, 2013
Imaging Informatics in Cardiovascular Population Research
Cardiovascular population studies are highly valuable methods for understanding cardiovascular diseases. These multi-institutional studies follow cohorts of thousands of subjects over many years and collect numerous clinical and imaging measurements and analytical results in an attempt to understand factors that impact the onset and development of cardiovascular diseases. To ensure high-quality results from these expensive studies, effective informatics platforms must be implemented to manage the collection, analysis, and management of data from multiple participating sites. Dr. Ge will discuss an imaging informatics platform that has been developed for cardiovascular population studies as a part of a larger project to build a Cardiovascular Research Grid (CVRG). This platform has been successfully deployed in a number of large population studies in recent years.
Yaorong Ge is an Associate Professor of health informatics in the Department of Software and Information Systems in the College of
Computing and Informatics at UNC-Charlotte. Prior to joining UNCC, he held faculty positions in computer science, biomedical engineering, and radiology at Wake Forest University and Virginia Tech-WFU School of Biomedical Engineering and Sciences.
Dr. Ge’s research has focused mainly on technology development in the areas of 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, a minimally invasive technology for colorectal cancer screening. His recent projects include the development of an imaging informatics platform for population-based cardiovascular studies as a part of the Cardiovascular
Research Grid, a modeling and decision-support framework for treatment planning in intensity-modulated radiation therapy and a clinical data warehouse that integrates more than 15 years of clinical data for nearly 2 million patients at Wake Forest Baptist Medical Center. With the support of an ARRA Grand Opportunity grant, Dr. Ge led the development of a novel technology for patient-controlled sharing of clinical-imaging data among unaffiliated rural and urban healthcare providers.
Dr. Ge received his Bachelor of Science degree in computer science and engineering from Zhejiang University, China, and his Master’s and PhD in computer science from Vanderbilt University.
Broadcast Stream (live @ 4:00 p.m. on Wed, Nov 13)
Archived Presentation (active beginning Thu, Nov 14)