Research Article

Multilevel Thresholding Method Based on Electromagnetism for Accurate Brain MRI Segmentation to Detect White Matter, Gray Matter, and CSF

Table 4

Performance measures for the proposed method and the existing methods for segmenting CSF from 10 different MR images.

AlgorithmSensitivity
MRI 1MRI 2MRI 3MRI 4MRI 5MRI 6MRI 7MRI 8MRI 9MRI 10Avg

-means85.3483.2583.6982.5883.5681.2583.7884.2587.6985.23 84.06
FCM86.3691.8986.3285.2584.2583.5685.6986.4589.3688.2186.73
OTSU85.9889.9989.1287.5690.2590.8992.4589.0489.2188.2589.27
PSO88.6986.8990.2488.2090.2189.2591.7891.0090.2588.2589.47
BFA96.2591.2590.7889.2190.5890.2593.0194.2588.2589.1291.29
GA96.8991.9994.2593.2593.5690.2492.2593.2591.2491.8992.88
FLGMM96.9692.8995.1493.8993.7493.5895.8995.8992.5895.8694.64
Proposed99.8494.2597.5896.5899.2195.2597.0197.2197.2594.8996.90

AlgorithmSpecificity
MRI 1MRI 2MRI 3MRI 4MRI 5MRI 6MRI 7MRI 8MRI 9MRI 10Avg

K-means86.2187.2585.2590.2481.8985.2887.2583.2582.5484.25 85.34
FCM88.0189.2587.9891.2583.2585.2588.5685.2483.2585.2886.73
OTSU87.9990.8990.2591.2983.2486.9988.7485.2085.2485.9687.57
PSO90.2492.1490.2990.8982.1485.8990.2185.2185.2486.2187.84
BFA90.2191.2595.2193.2590.2191.2589.2589.2491.4593.2491.45
GA93.2593.5695.2492.8992.1492.8992.1492.2591.2592.2792.78
FLGMM95.8992.8995.8695.7692.8993.5692.7893.8692.8694.7894.11
Proposed97.8594.8597.8997.8697.5896.2495.2196.5794.8599.1496.80

AlgorithmSegmentation accuracy
MRI 1MRI 2MRI 3MRI 4MRI 5MRI 6MRI 7MRI 8MRI 9MRI 10Avg

-means85.7886.5985.2483.2582.1286.2585.2484.2582.2185.2584.61
FCM85.9687.2584.8984.5683.9684.5885.9984.8992.5682.5485.71
OTSU87.9689.5688.2188.5688.5689.1287.8889.5990.7885.8988.61
PSO90.4591.2491.9992.1288.2191.2589.2590.2187.2187.8989.98
BFA90.2491.5392.0192.5891.5691.8990.2191.2591.8891.5491.46
GA90.9992.4595.8993.2192.1492.4591.2692.7991.8992.9692.60
FLGMM95.8692.9995.9991.8992.5694.5893.2596.8993.5893.1294.07
Proposed97.5895.0196.8998.2597.1498.4595.2596.9995.8498.2196.96