DocumentCode :
2705917
Title :
Automatic skull stripping in brain MRI based on local moment of inertia structure tensor
Author :
Zhong, Yi ; Qi, Shouliang ; Kang, Yan ; Feng, Wei ; Haacke, E. Mark
Author_Institution :
Sino-Dutch Biomed. & Inf. Eng. Sch., Northeastern Univ., Shenyang, China
fYear :
2012
fDate :
6-8 June 2012
Firstpage :
437
Lastpage :
440
Abstract :
A new automatic skull stripping method for fluid attenuated inversion recovery (FLAIR) MR images is proposed for the quantification of brain volume in multiple sclerosis (MS) patients. The proposed method is based on the use of local moment of inertia structure tensor and morphological operators. The local moment of inertia structure tensor is used to determine the boundary of the brain, instead of the conventional edge detection algorithms. Data from 30 MS patients were processed by the proposed method and the Brain Extraction Tool (BET); the results of which were also compared with manual segmentation. It was shown that the proposed method was able to produce more accurate results.
Keywords :
biomedical MRI; brain; diseases; medical image processing; FLAIR MR images; automatic skull stripping; brain MRI; brain extraction tool; fluid attenuated inversion recovery; local moment of inertia structure tensor; morphological operators; multiple sclerosis patients; Brain; Image edge detection; Image segmentation; Magnetic resonance imaging; Manuals; Multiple sclerosis; Tensile stress; MRI; Multiple Sclerosis; moment of inertia; skull stripping; structure tensor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2012 International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4673-2238-6
Electronic_ISBN :
978-1-4673-2236-2
Type :
conf
DOI :
10.1109/ICInfA.2012.6246845
Filename :
6246845
Link To Document :
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