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GI?F欹[€ 餜8"bjbj8(螑螑D RR333GGG84G?l???5+7+7+7+7+7+7+$^-0:[+Q3??@???[+?)))?l35+)?5+)),) 槣0G?p)!+?0?):0? 1)):0?$3?l??)?????[+[+u(???????? 1?????????R a: f[ /g  JTN 槝 顅The l1 measure for image reconstructionsubject tomotioncorrupted k-space datak-zz魰憳遅 pencb螾-N鵞irSO袕≧飲頬頞ck剉l1KmJT篘Cishen Zhang (Professor, Swinburne University of Technology)鰁 魰2014t^1g7錯 NHS9:00_薡0W 筽S琋t錧'Yf[ 10鱏Yef[|i 205O畫JT匭筟There are various imaging applications where the physical sensing and detecting devices scan imaged objects and perform the k-space data acquisition in the frequency domain. A typical practical application based on the k-space data acquisition and reconstruction is magnetic resonance imaging (MRI) and other practical and important applications include synthetic aperture radar (SAR) imaging, radio telescope imaging, fluorescence lifetime imaging (FLIM), digital holographic tomography and optoacoustic imaging, etc. If the imaged object is not stationary during the k-space data acquisition, it will result in motion artifacts in the reconstructed image. To reduce and remove the motion artifacts from the reconstructed image is known as the motion artifact correction problem. For reconstruction of a real valued image based on the k-space measurement data, analysis is carried out to show爐hat the l1 norm of the original motionless image is minimal among that of all images with motions and corrupted k-space data. This provides an insight and theoretical fundamental for applying the l1 optimization to the motion correction problem. An MRI reconstruction example is presented to show the effectiveness of the l1 optimization for motion artifact correction.Biography:Cishen Zhang ( _Ha駇) received the B.Eng. degree in computer engineering from Tsinghua University, China, in 1982 and the Ph.D. degree in electrical engineering from Newcastle University, Australia, in 1990.He was an Electrician with Changxindian (FebruarySeven) Locomotive Manufactory, Beijing, China, during 1970?978, carried out research on control systems at Delft University of Technology, the Netherlands, during 1983?985, was with the Department of Electrical and Electronic Engineering, the University of Melbourne, Australia, as a Lecturer, Senior Lecturer, and Associate Professor and Reader from 1989 to2002, and with the School of Electrical and Electronic Engineering and School of Chemical and Biomedical Engineering, Nanyang Technological University,  "$&024熵熵熵烨斓Φ攧rc刅c凞凞凞"h.yqh.yq5丆JOJQJaJo(h.yq5丆JOJQJaJh.yq5丆JOJQJaJo("h.yqh.yq5丆JH*OJQJaJh.yqh.yq5丆JOJQJaJ"h锄h襉5丆JOJQJaJo(hG5丆JOJQJaJo("h锄h@5丆JOJQJaJo( h頹 5丆J,OJQJ^JaJ,o(&h锄h梟5丆J,OJQJ^JaJ,o(&h锄h翪5丆J,OJQJ^JaJ,o( Q!S!T!V!W!Y!Z!\!]!^!gdkU$d橚XD2[$\$a$gdRY 劋d\`劋gdRY刲d4WD"`刲gd.yq刲dpWD"`刲gd.yq 劋dp`劋gd.yq $\$a$gdRY   " $ 6 8 L N ~ € 钴矢噖gU栜杦F?"h锄h籉V5丆JOJQJaJo(h@5丆JOJQJaJo("h.yqhG5丆JOJQJaJo(h.yqhG5丆JOJQJaJh.yqh(G5丆JOJQJaJh.yq5丆JOJQJaJo(h.yqh.yq5丆JOJQJaJ"h.yqh@5丆JOJQJaJo("h锄h@5丆JOJQJaJo("h锄h5丆JOJQJaJo("h.yqh.yq5丆JOJQJaJo("hRYh.yq5丆JH*OJQJaJ 钸钸钸钔煌呋邭坴毣遜TEh觃5丆JOJQJaJo(h锄h5丆JOJQJaJ"h锄h襉5丆JOJQJaJo("h锄h鏧5丆JOJQJaJo("h锄h籉V5丆JOJQJaJo("h锄h@5丆JOJQJaJo(hG5丆JOJQJaJo("h锄h5丆JOJQJaJo("h锄hdc$5丆JOJQJaJo(h.yq5丆JOJQJaJo("h锄ht5丆JOJQJaJo( =>  钬虐虐虐艣僴XC-+h.yqh.yq5丅*CJOJQJaJo(ph(h.yqh.yq5丅*CJOJQJaJph+hRYh!5丅*CJOJQJaJo(ph(hRYh5丅*CJOJQJaJph.jhGhRYB*CJOJQJUaJph(hGh.yqB*CJOJQJaJo(ph(hRYh.yqB*CJH*OJQJaJph%h.yqh.yqB*CJOJQJaJph+hRYh 5丅*CJOJQJaJo(ph"hGh襉5丆JOJQJaJo( "HI{|   (!)!P!Q!R!T!U!W!X!Z![!""""" 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