Academic Lecture:Toward Smart Medical CT Imaging: Integrating Novel Hardware with Intelligent Software


Title: Toward Smart Medical CT Imaging: Integrating Novel Hardware with Intelligent Software 
Speaker: Dr.Guohua Cao(Department of Biomedical Engineering and Mechanics, Virginia Tech, U.S.A.) 
Moderator: Prof. Wei Long
Time: 10:00AM, May 25
Place: Room C305, IHEP Main Building 
The sciences of imaging consist of four components: acquisition, reconstruction, processing, and interpretation of images. Recently, we have witnessed significant developments in all the four components of imaging sciences. While image acquisition has benefitted greatly from innovations in hardware, the other three components – reconstruction, processing, and interpretation – have progressed dramatically from the latest advances in data storage, network infrastructure, and computing power. We believe that the field of medical imaging will shift toward a paradigm that consists of only two components: data acquisition and data analysis. Our vision is that integrating hardware and software synergistically will lead us toward a smart medical imaging future, in which medical decisions or actions will become more accurate and can be reached faster. In this talk, I will present our recent innovations in CT imaging hardware and our latest progresses in CT imaging software.I will present our works in novel X-ray sources, new x-ray detector, unconventional CT architectures, and learning-based reconstruction algorithms. 

About the speaker:
Guohua Cao received the Ph.D. degree in physical chemistry from Brown University, Providence, RI, USA, in 2005. After post-doctoral training at Brown University and UNC-Chapel Hill from 2005 to 2007, he became a Research Assistant Professor with the Department of Physics and Astronomy, UNC-Chapel Hill from 2008 to 2011. He is currently an Assistant Professor of biomedical engineering with the Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, USA. He has been recognized by a number of awards including a NSF CAREER Award in 2014. His research is directed at biomedical imaging, with a focus on developing novel imaging hardware and software for image acquisition and formation.