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[01/12]Algorithms of Compressed Sensing and Applications in Medical Imaging

  Algorithms of Compressed Sensing and Applications in Medical Imaging

报告人Professor Cishen Zhang

Faculty of Engineering and Industrial Sciences, Swinburne University of Technology, Australia



主持人:  楚天广 教授


In an article published in the February 2011 issue of Science, compressed sensing (CS) is introduced as a radically new enabling information technology for scientific discovery with huge potential payoffs. CS for sparse signal processing is built upon rigorous mathematical foundation and enables acquisition of information contained within a huge volume of data using a small amount of measurement resources. A common approach to CS is the constrained l1-norm minimization.

In this talk, fundamental concepts, methods and algorithms of CS are first introduced. A new method called orthonormal expansion is then presented followed by two algorithms based on convex optimization: one exactly solves the problem, and the other is a relaxed version for simplifying the implementation. The optimal and iterative solution of these algorithms can provide fast and efficient CS processing and enables empirical investigation and evaluation of the sparsity-undersampling tradeoff of l1 minimization of complex-valued signals. Examples, including MRI image reconstruction, are given and possible applications of CS to medical imaging are discussed.



Prof. Cishen ZHANG received the B.Eng. degree from Tsinghua University, China, in 1982 and Ph.D. degree in electrical engineering from Newcastle University, Australia, in 1990. He was an Electrician with Changxindian (February Seven) Locomotive Manufactory, Beijing, China during 1970‐1978, carried out research work on control systems at Delft University of Technology, the Netherlands, from 1983 to 1985, was with the Department of Electrical and Electronic Engineering at the University of Melbourne, Australia, as a Lecturer, Senior Lecturer, and Associate Professor and Reader from 1989 to 2002 and with the School of Electrical and Electronic Engineering and School of Chemical and Biomedical Engineering at Nanyang Technological University, as an Associate Professor, during 2002‐2010. Since Nov 2010, he has been the Professor and Head of Electrical and Electronic Engineering with the Faculty of Engineering and Industrial Sciences at Swinburne University of Technology in Melbourne, Australia. His research interests include control, signal processing and medical imaging.