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报告摘要：Accurate correction of respiratory and body motion effects bridges physics and physiology in PET imaging and paves the way to truly quantitate diagnostics. This talk presents an event-by-event approach to incorporating respiratory and motion correction in MOLAR PET reconstruction framework. The methodology are validated against a variety of translational and clinical experiments including both static and dynamic PET imaging.
报告人简介：Chi Liu is an Assistant Professor in the Departments of Diagnostic Radiology and Biomedical Engineering of Yale University. He received his Ph.D. in 2008 from Johns Hopkins University with emphasis on quantitative SPECT/CT imaging. Following his graduate work, he was a postdoctoral fellow at University of Washington, specializing in oncological PET/CT studies with emphasis on compensation algorithms for respiratory motion. In 2010, he joined Yale University as a faculty member. He is board certified in Nuclear Medicine physics and instrumentation by the American Board of Science in Nuclear Medicine. His current research focuses on quantitative cardiac and oncological PET/CT and SPECT/CT imaging, including reconstruction algorithms, motion correction, dynamic imaging, and translational imaging. The translational and clinical applications of these projects include early detection of chemotherapy-induced cardiotoxicity, multimodality imaging of heart failure, and eliminating respiratory motion variability for assessing response to therapy. Many of the imaging technologies developed in his lab has been or is being implemented in clinical PET and SPECT scanners. In 2012, he was awarded with the Bruce Hasegawa Young Investigator Medical Imaging Science Award from the IEEE Nuclear Medical and Imaging Sciences Council for “contributions to the imaging physics of SPECT/CT and PET/CT, with emphasis in quantitative imaging and motion correction”. Currently, he is the PI of multiple ongoing grants from NIH, American Heart Association, and industry.
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