期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
期号：NCET
页码：175
出版社：S&S Publications
摘要：Abnormal changes in the white matter, known as white matter lesions (WML).WMLs are related tostroke and carotid disease. To reduce the long-term disabilities associated with stroke, accurate volume measurementsare most important. In general, it is difficult for medical experts to accurately quantify the WMLs due to decreasedcontrast between White Matter and Grey Matter. The aim of this project is to automatically segment the White MatterLesions which is present in the brain MRI. In this project, a generalized multiple-kernel fuzzy C-means (MKFCM)methodology is introduced as a framework for image-segmentation problems. The proposed MKFCM algorithmprovides us a new flexible vehicle to fuse different pixel information in image-segmentation problems. Lesion loadstudies are included that automatically analyze WML volumes for each brain hemisphere separately. Simulations areperformed on the FLAIR MRI medical images to demonstrate the flexibility and advantages of MKFCM-basedapproaches.
