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http://dx.doi.org/10.9717/kmms.2012.15.9.1075

A Hippocampus Segmentation in Brain MR Images using Level-Set Method  

Lee, Young-Seung (인제대학교 컴퓨터공학부)
Choi, Heung-Kook (인제대학교 컴퓨터공학부)
Publication Information
Journal of Korea Multimedia Society / v.15, no.9, 2012 , pp. 1075-1085 More about this Journal
Abstract
In clinical research using medical images, the image segmentation is one of the most important processes. Especially, the hippocampal atrophy is helpful for the clinical Alzheimer diagnosis as a specific marker of the progress of Alzheimer. In order to measure hippocampus volume exactly, segmentation of the hippocampus is essential. However, the hippocampus has some features like relatively low contrast, low signal-to-noise ratio, discreted boundary in MRI images, and these features make it difficult to segment hippocampus. To solve this problem, firstly, We selected region of interest from an experiment image, subtracted a original image from the negative image of the original image, enhanced contrast, and applied anisotropic diffusion filtering and gaussian filtering as preprocessing. Finally, We performed an image segmentation using two level set methods. Through a variety of approaches for the validation of proposed hippocampus segmentation method, We confirmed that our proposed method improved the rate and accuracy of the segmentation. Consequently, the proposed method is suitable for segmentation of the area which has similar features with the hippocampus. We believe that our method has great potential if successfully combined with other research findings.
Keywords
Image Segmentation; Hippocampus Segmentation; Active Contour Model; Level-Set Method; Anisotropic Diffusion Filtering; Gaussian Filtering;
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Times Cited By KSCI : 2  (Citation Analysis)
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