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Table 1 Mean ± SD of TSA values

From: Improved R2* liver iron concentration assessment using a novel fuzzy c-mean clustering scheme

Method

OP scheme

SA scheme

Parenchyma (%)

Vessels (%)

Parenchyma (%)

Vessels (%)

1D-FCM

98.3 ± 1.7

89.8 ± 9.8

96.9 ± 2.3

81.7 ± 11.0

2D-FCM

98.6 ± 3.3

93.2 ± 11.4

97.6 ± 4.8

88.9 ± 13.9

MIX-FCM

99.7 ± 0.4

97.9 ± 2.3

98.8 ± 1.1

92.9 ± 5.5

  1. Mean ± SD of TSA values from parenchyma and vessel classes of 1D-, 2D-, and MIX-FCM clustering for both OP and SA schemes. This shows the 2D-FCM method to be significantly more accurate than 1D-FCM for vessel segmentation only, while MIX-FCM method yields a superior result over both individual component methods and for both anatomic segmentations