应郑州轻工业学院/国际教育学院邀请，澳大利亚格里菲斯大学Alan Wee-Chung Liew教授来我校学术访问，期间为师生做专场学术报告。具体事宜如下： 报告题目：Automatic Segmentation of 3D Magnetic Resonance Brain Images
报告地点：国际教育学院会议室
报告时间：2010-12-06 下午16:30―18:00
欢迎广大师生踊跃参加！
科技处
国际教育学院
2010-11-17
Alan Wee-Chung Liew教授简介：
Accurate segmentation of MR brain images allows a detail study of 3D brain tissue anatomy. Such studies typically involve vast amount of data and manual segmentation is clearly tedious and impractical. In view of this, much effort has been spent on finding accurate and efficient algorithms for the automatic MRI brain segmentation problem. MR images are often degraded by different artifacts. The artifact that is of major concern to many MRI segmentation algorithms is the intensity non-uniformity (INU) artifact. The INU artifact arises due to inhomogeneity in the magnetic field, and manifests itself as an unwanted low frequency bias term modulating the signal. Such variations cause significant problems for segmentation tasks that are based on voxel intensity distributions. Another major MR imaging artifact that affects tissue delineation is the partial volume averaging (PVA) artifact. PVA artifact occurs when multiple tissues are present in one voxel due to the limited resolution of the imaging device. PVA affects the accuracy of delineation and volume estimation of different tissue types, which could be critical in the diagnosis and analysis of pathology. In this seminar, I will present an approach for MR brain image segmentation based on a novel variant of the FCM algorithm. By incorporating two key ideas into the FCM algorithm, we are able to take into account the local spatial context, to compensate for the INU artifact and the PVA artifact, and to reduce the influence of image noise, during the segmentation process.
About the speaker:
ALAN WEE-CHUNG LIEW received his B.Eng. with first class honors in Electrical and Electronic Engineering from the University of Auckland, New Zealand in 1993 and Ph.D. in Electronic Engineering from the University of Tasmania, Australia in 1997. From 1997 to 2004, he worked as a Research Fellow and later a Senior Research Fellow at the Department of Electronic Engineering, City University of Hong Kong. From 2004 to 2007, he was with the Department of Computer Science and Engineering, The Chinese University of Hong Kong as an Assistant Professor. In 2007, he joined the School of Information and Communication Technology, Griffith University as a Senior Lecturer, and is currently an Associate Professor. His current research interests include computer vision, medical imaging, pattern recognition and bioinformatics. He is author, co-author or editor of one book and more than 100 journal and conference papers in these areas. Professor Liew is a senior member of the Institute of Electrical and Electronic Engineers (SMIEEE) since 2005.
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