8月12日 Hongyu An:Quantitative Cerebral Oxygen Metabolism and its application in stroke Simultaneous PET/MR imaging: challenges, opportunities and applications(物理学系列学术报告)

讲座题目:Quantitative Cerebral Oxygen Metabolism and its application in stroke Simultaneous PET/MR imaging: challenges, opportunities and applications
主讲人: Hongyu An
开始时间: 2015-08-12 9:00
讲座地址: 理科大楼A510

报告人简介:

Dr. Hongyu An is an assistant professor in the department of Radiology, and Biomedical Research Imaging Center (BRIC) at University of North Carolina at Chapel Hill, and also the MR modality leader in the BRIC at UNC. He has extensive experience in MR oxygen metabolic imaging, perfusion (Dynamic Susceptibility Contrast and Arterial Spin Labeling) imaging, susceptibility weighted imaging (SWI), diffusion tensor imaging (DTI), phase contrast imaging, MR spectroscopy, quantitative T1 and T2 measurements, and attenuation and motion correction for simultaneous PET/MR measurements. He is the PI and a co-investigator on numerous NIH, foundation and industry grants. I have published 53 peer reviewed full journal papers, two book chapters, eight full conference papers and over 130 conference abstracts.

报告简介:

Elevation of oxygen extraction fraction (OEF) in brain tissue portends a 6-7 fold increased risk of subsequent stroke in patients with chronic atherosclerotic carotid artery occlusion. In this talk, Dr. An will introduce MR methods that we have used to obtain cerebral OEF and MR oxygen metabolic index (MROMI), and will also talk about how we use MROMI to identify ischemic penumbra in stroke patients. Simultaneous PET/MR imaging offers exciting opportunities. Registration of PET and MRI is a natural consequence of the PET/MR scanner. The simultaneity of PET and MR on these devices is the key to realizing their potential. However, one major challenge of simultaneous PET/MR imaging is attenuation correction (AC). Dr. An will talk about some novel methods that we have developed to do MR based AC for PET and will introduce a novel MR method to obtain motion information.