An automated and simple method for brain MR image extraction

Table 1 Performance comparison of BET, MLS and the proposed method for multiple indices using the IBSR data sets

Method	Sensitivity	Specificity	Jaccard	Dice	FP_rate
BET	*0.999(0.001)*	0.982(0.005)	0.896(0.045)	0.945(0.026)	0.115(0.063)
MLS	0.982(0.03)	0.991(0.008)	*0.925(0.041)*	*0.961(0.022)*	0.069(0.055)
Our method	0.973(0.01)	*0.993(0.003)*	0.923(0.022)	0.960(0.012)	*0.05(0.022)*

mean(standard deviation) for multiple indices. The best performance for each index is in bold and italics
* FP_Rate is the number of voxels incorrectly classified as brain tissue by the automated algorithm divided by manually segmented brain masks. Therefore, if the other indices are same, then the lower the FP_Rate coefficient, the more accurate the segmentation results.

ISSN: 1475-925X