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Extraction of Brain Boundary and Direct Volume Rendering of MRI Human Head Data  

Song, Ju-Whan (전주대학교 교양학부)
Gwun, Ou-Bong (전북대학교 전자정보공학부)
Lee, Kun (한동대학교 전산전자공학부)
Abstract
This paper proposes a method which visualizes MRI head data in 3 dimensions with direct volume rendering. Though surface rendering is usually used for MRI data visualization, it has some limits of displaying little speckles because it loses the information of the speckles in the surfaces while acquiring the information. Direct volume rendering has ability of displaying little speckles, but it doesn't treat MRI data because of the data features of MRI. In this paper, we try to visualize MRI head data in 3 dimensions as follows. First, we separate the brain region from the head region of MRI head data, next increase the pixel level of the brain region, then combine the brain region with the increased pixel level and the head region without brain region, last visualizes the combined MRI head data with direct volume rendering. We segment the brain region from head region based on histogram threshold, morphology operations and snakes algorithm. The proposed segmentation method shows 91~95% similarity with a hand segmentation. The method rather clearly visualizes the organs of the head in 3 dimensions.
Keywords
direct volume rendering; segmentation; MRI human head data; snakes algorithm; visualization;
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