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
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;
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
DOI :
10.1109/APCCAS.2000.913419
