Title :
Automated Brain Segmentation Algorithm for 3D Magnetic Resonance Brain Images
Author :
Park, Jong Geun ; Jeong, Taeuk ; Lee, Chulhee
Abstract :
In this paper, we propose a new brain segmentation method for 3D magnetic resonance (MR) brain images. The proposed method consists of four steps: background rejection, image normalization, initial slice segmentation, and brain segmentation. In the image normalization step, intensity non-uniformity is removed. In the brain segmentation step, we use mathematical morphological operators and masking. The proposed algorithm was tested with twenty 3D MR normal brain image sets. Experiment results showed the proposed algorithm is fast and provides robust and satisfactory results.
Keywords :
biomedical MRI; brain; image segmentation; medical image processing; 3D magnetic resonance brain image; automated brain segmentation algorithm; image normalization; initial slice segmentation; mathematical morphological operator; Biomedical imaging; Brain; Data mining; Hidden Markov models; Histograms; Image segmentation; Magnetic resonance; Morphology; Robustness; Testing;
Conference_Titel :
Soft Computing Applications, 2007. SOFA 2007. 2nd International Workshop on
Conference_Location :
Oradea
Print_ISBN :
978-1-4244-1608-0
Electronic_ISBN :
978-1-4244-1608-0
DOI :
10.1109/SOFA.2007.4318305
