Computer-Aided Diagnosis Systems for Brain Diseases in Magnetic Resonance Images

Algorithms

Hidetaka Arimura¹  Taiki Magome²  Yasuo Yamashita² 

[1] Faculty of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan;Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan

关键词: Computer-Aided Diagnosis (CAD) system;    brain diseases;    Magnetic Resonance (MR) images;    image processing techniques;   

DOI  :  10.3390/a2030925

来源: mdpi

【 摘 要 】

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, Alzheimer's 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.

【 授权许可】

CC BY   
© 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.