期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2016
卷号：11
期号：9
页码：343-354
出版社：SERSC
摘要：Colloid Cysts, also called neuroepithelial cysts are located in the rostral aspect of the third ventricle in the brain [1]. It appears near the center of the brain and grows along the roof of the third ventricle that holds spinal fluid. Increase in the size of cyst can block the flow of cerebrospinal fluid causing hydrocephalus (water on the brain or a buildup of CSF in the brain). The buildup of CSF in the brain can increase intracranial pressure that compresses surrounding brain tissues in the skull and may cause enlargement of the brain, convulsions, brain damage and even sudden death [2].Detection of Colloid Cyst at early stages is very important. Analysis and manual interpretation of Magnetic Resonance Images and Computed Tomography Images by radiologists are time consuming and sometimes difficult and error prone. In this paper we propose an algorithm to automate the process of detecting Colloid Cystsin Brain through the use of image processing techniques.
关键词：Colloid Cyst detection; Threshold Segmentation; Median Filtering; ;Gaussian High;-;pass filtering; Region of Interest
