DocumentCode
2995922
Title
MRI brain images segmentation
Author
He, Shijuan ; Xia Weng ; Yang, Yamei ; Yan, Weili
Author_Institution
Sch. of Electr. Eng. & Inf. Technol., Hebei Inst. of Technol., Tianjin, China
fYear
2000
fDate
2000
Firstpage
113
Lastpage
116
Abstract
This paper presents an automatic segmentation algorithm for MRI (magnetic resonance imaging) brain image. The algorithm integrates histogram-based fuzzy C-means (FCM) method and connectivity-restrained multi-scale segmentation algorithm to segment the brain into three major classes of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF). First, histogram-based FCM algorithm is used to segment the images. Then segmented result was refined by connectivity restrained clustering. The algorithm was implemented in MATLAB code. Satisfactory results were obtained
Keywords
biomedical MRI; brain; fuzzy set theory; image segmentation; MATLAB; MRI brain images; automatic segmentation algorithm; cerebrospinal fluid; connectivity-restrained multi-scale segmentation; gray matter; histogram-based fuzzy C-means; image segmentation; white matter; Brain; Clustering algorithms; Helium; Histograms; Image segmentation; Information technology; Magnetic resonance; Magnetic resonance imaging; Surgery; Volume measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on
Conference_Location
Tianjin
Print_ISBN
0-7803-6253-5
Type
conf
DOI
10.1109/APCCAS.2000.913419
Filename
913419
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