Speaker:Hengyong Yu, Associate Professor, Director of the Imaging and Informatics Lab, Department of Electrical and Computer Engineering, University of Massachusetts Lowell, US
Date:June 10, 2017
Time:10:30 am-11:30 am
Location:Room 1044, Block B, Zhixin Building, Central Campus
Sponsor:the School of Mathematics
Abstract:
Since Hounsfield's Nobel Prize winning breakthrough decades ago, X-ray computed tomography (CT) has been widely applied in the clinical and preclinical applications-producing a huge number of tomographic gray-scale images. However, these images are often insufficient to distinguish crucial differences needed for diagnosis. They have poor soft tissue contrast due to inherent photon-count issues, involving high radiation dose. By physics, the X-ray spectrum is poly chromatic, and it is now feasible to obtain multi-energy, spectral, or true-color, CT images. However, it is still challenging to balance radiation dose and image quality. On the other hand, the compressed sensing (CS) theory has emerged to show that a signal or image can be accurately reconstructed from far fewer data than what are requested by Nyquist sampling. In this talk, we will discuss two CS-inspired spectral CT approaches developed by our team. The first is tensor dictionary learning based spectral CT reconstruction. These cond is reference image regularized spectral CT reconstruction. Both of those approaches have produced promising results in terms of preserving structural details and suppressing image noise, which resulted in better material decomposition results. We welcome your feedback and collaboration.
Bio:
Hengyong Yu, is an Associate Professor and Director of the Imaging and Informatics Lab, Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA, 01854. He received his Bachelor's degrees in information science &technology (1998) and computational mathematics (1998) respectively, and his PhD degree in information & communication engineering (2003) from Xi'an Jiaotong University. He was an Instructor and Associate Professor with the College of Communication Engineering, Hangzhou Dianzi University, from July 2003 to September 2004. From September 2004 to November 2006, he was a post doctoral fellow and Associate Research Scientist with Department of Radiology, University of Iowa, Iowa City, IA. From November 2006 to May 2010, he was a Research Scientist, the Associate Director of CT Lab, Biomedical Imaging Division, VT-WFU School of Biomedical Engineering & Sciences, Virginia Tech, Blacksburg, VA, USA. From May 2010 to November 2014, he was an Assistant Professor with the Biomedical Engineering Department, Wake Forest University Health Sciences. His interests include computed tomography and medical image processing. He has authored/coauthored >140 peer-reviewed journal paper swith an H-index of 33 according to Google Scholar. He is the founding Editor-in-Chief of JSM Biomedical Imaging Data Papers, serves as an Editorial Board member for IEEE Access, Signal Processing, Journal of Medical Engineering and CT Theory and Applications, and the Guest Editor of the IEEE Transactions on Medical Imaging, IEEE Access, and International Journal of Biomedical Imaging. He is a senior member of the IEEE and the IEEE Engineering in Medicine and Biology Society (EMBS), and a member of American Association of Physicists in Medicine (AAPM) and the Biomedical Engineering Society (BMES). In 2005, he was honored for an outstanding doctoral dissertation by Xi'an Jiaotong University, and received the first prize for a best natural science paper from the Association of Science & Technology of Zhejiang Province. In January 2012, he received an NSF CAREER award for development of CS-based interior tomography.
For more information, please visit:
http://www.maths.sdu.edu.cn/compressed-sensing-in-spectral-computed-tomography.html
Edited by: Zhang Xinyuan