基于Graph Cuts的脑部MRI图像脑组织提取方法

doi:10.3969/j.issn.0258-8021. 2014. 05.02

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Abstract The brain extraction from cerebral T1 weighted MRI volume is an important preprocedure for neuroimage analysis. To improve the precision of extraction, an automatic brain extraction method based on a graphcuts model was proposed. The method uses the brain extraction tool (BET) to obtain the region of interest (ROI) and only performs graphcuts model in the ROI. A velocity factor was added in the graphcuts model to eliminate the boundary leakage and local convergence. A slice by slice contour initial method was also used to initialize the 3D brain boundary. The method was applied to 18 cerebral MRI volumes provided by the Internet Brain Segmentation Repository (IBSR). In testing, the mean Dice similarity coefficient was 095 and the results obtained by our method were very similar to those produced by manual segmentation and achieved the best results on many of the evaluation metrics (false positives rate 32% and Hausdorff distance 96) for the IBSR data in comparison of our method with existing brain extraction methods including brain extraction tool (BET), brain surface extraction (BSE), watershed algorithm (WAT), hybrid watershed algorithm (HWAT), graphcuts (GCUT) and robust brain extraction (ROBEX). The experiment showed the proposed method was precise and robust.

Key words： brain extraction graph cuts BET region of interest

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	YANG Su Hua^*CHEN Qiong LUO Yan Fen

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YANG Su Hua^*CHEN Qiong LUO Yan Fen. Automatic Brain Extraction Method from Cerebral MRI Image Based on GraphCuts[J]. journal1, 2014, 33(5): 525-531.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021. 2014. 05.02 OR http://cjbme.csbme.org/EN/Y2014/V33/I5/525

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