Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2000.07a
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- Pages.441-445
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- 2000
Fully Automatic Segmentation and Volumetry on Brain MRI of Coronal Section
- Sung, Yun-Chang (Dept. of Information Communications Engineering, Chungnam National University) ;
- Song, Chang-Jun (Dept. of Diagnostic Radiology, Chungnam National University) ;
- Noh, Seung-Moo (Dept. of General Surgery, Chungnam National University) ;
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Park, Jong-Won
(Dept. of Information Communications Engineering, Chungnam National University)
- Published : 2000.07.01
Abstract
This study is to segment white matter, gray matter, and cerebrospinal fluid(CSF) on a brain MR image of coronal section and to calculate the volume of each. First, we segmented the whole region of a brain from a black colored background, a skull and a fat layer. Then, we calculated the partial volume of each component, which was present in scanning finite thickness, with the arithmetical analysis of gray value from the internal region of a brain showing the blurring effects on the basis of the MR image forming principle. Calculated partial volumes of white matter, gray matter and CSF were used to determine the threshold for the segmentation of each component on a brain MR image showing the blurring effects. Finally, the volumes of segmented white matter, gray matter, and CSF were calculated. The result of this study can be used as the objective diagnostic method to determine the degree of brain atrophy of patients who have neurodegenertive diseases such as Alzheimer’s disease and cerebral palsy.
Keywords