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Table 2 The lists of mean and max 18F-FDG-SUVs in segmented regions extracted with manual segmentation, RSIAT, and RATSI

From: Regional SUV quantification in hybrid PET/MR, a comparison of two atlas-based automatic brain segmentation methods

 CAU_LCAU_RPUT_LPUT_R
SUV_mean1Manual segmentation7.45 ± 1.397.42 ± 1.429.03 ± 1.699.08 ± 1.76
2Traditional6.61 ± 1.386.72 ± 1.378.60 ± 1.638.44 ± 1.71
3RATSI6.60 ± 1.376.84 ± 1.368.59 ± 1.728.48 ± 1.67
P (among groups)0.0900.2330.6420.419
P1 vs 20.0590.1110.4190.239
1 vs 30.0550.1870.4150.272
2 vs 30.9740.7780.9950.937
SUV_maxManual segmentation11.29 ± 2.0411.73 ± 2.3212.95 ± 2.4712.90 ± 2.59
Traditional11.29 ± 2.1211.68 ± 2.3812.92 ± 2.4412.90 ± 2.63
RATSI11.32 ± 1.9311.74 ± 2.3212.97 ± 2.4712.78 ± 2.66
P> 0.90