computer-aided diagnosis systems for brain diseases in magnetic resonance images计算机辅助诊断系统的脑部疾病的磁共振图像.pdf

Algorithms 2009, 2, 925-952; doi:10.3390/a2030925 OPEN ACCESS algorithms ISSN 1999-4893 /journal/algorithms Review Computer-Aided Diagnosis Systems for Brain Diseases in Magnetic Resonance Images Hidetaka Arimura 1,*, Taiki Magome 2, Yasuo Yamashita 2 and Daisuke Yamamoto 2 1 Faculty of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan 2 Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan * Author to whom correspondence should be addressed. E-mail: arimura@shs.kyushu-u.ac.jp Received: 27 March 2009; in revised form: 6 June 2009 / Accepted: 2 July 2009 / Published: 10 July 2009 Abstract: This paper reviews the basics and recent researches of computer-aided diagnosis (CAD) systems for assisting neuroradiologists in detection of brain diseases, e.g., asymptomatic unruptured aneurysms, Alzheimers disease, vascular dementia, and multiple sclerosis (MS), in magnetic resonance (MR) images. The CAD systems consist of image feature extraction based on image processing techniques and machine learning classifiers such as linear discriminant analysis, artificial neural networks, and support vector machines. We introduce useful examples of the CAD systems in the neuroradiology, and conclude with possibilities in the future of the CAD systems for brain diseases in MR images. Keywords: Computer-Aided Diagnosis (CAD) system; brain diseases; Magnetic Resonance (MR) images; image processing techniques 1. Introduction