Date(s) - 27 Feb 2014
10:00 AM - 11:30 AM
3043 ECpE Building Addition
Title: Compressed Sensing in Computed Tomography
Speaker: Hengyong Yu, Assistant Professor, Wake Forest University
Abstract: A conventional wisdom is that data acquisition should be based on the Nyquist sampling theory that the sampling rate must at least double the highest frequency of a signal to reconstruct it exactly. Recently, 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 computed tomography (CT) approaches developed by our team. The first is CS-based interior tomography. The other is dictionary learning based ultra-low dose reconstruction. We will show that theoretically exact interior reconstruction is feasible only from local projections through a region-of-interest assuming a piecewise polynomial image model, which challenges the conventional wisdom that the interior problem has no unique solution. The dictionary-learning-based representation is a state-of-the-art CS approach. We have produced promising results in terms of preserving structural details and suppressing image noise in the CT field. Throughout this presentation, we will underline a major relevance of our proposed imaging methods to important biomedical applications and other tomographic imaging modalities, such as PET/SPECT and MRI. We welcome your feedback and collaboration.
Biography: Dr. Hengyong Yu received his Bachelor’s degrees in information science & technology (1998) and computational mathematics (1998) respectively, and his PhD degree in information & telecommunication engineering (2003) from Xi’an Jiaotong University. He was an Instructor and Associate Professor with the College of Telecommunication Engineering, Hangzhou Dianzi University, from July 2003 to September 2004. From September 2004 to November 2006, he was a postdoctoral 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. Currently, he is an Assistant Professor, the Director of CT Lab, Departments of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, USA. His interests include computed tomography and medical image processing. He has authored/coauthored >100 peer-reviewed journal papers with an H-index of 18 according to the web of knowledge. He is the founding Editor-in-Chief of JSM Biomedical Imaging Data Papers, serves as an Editorial Board member for Signal Processing, Journal of Medical Engineering, CT Theory and Applications, International Journal of Biomedical Engineering and Consumer Health Informatics and Open Medical Imaging Journal, 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.
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