Skip to main content
. Author manuscript; available in PMC: 2017 Aug 1.
Published in final edited form as: Magn Reson Med. 2015 Aug 26;76(2):591–601. doi: 10.1002/mrm.25868

Table 2.

Results of linear regression and Bland-Altman analyses for non-FS, FS, and corrected FS data sets.

Linear regression Bland Altman

Fit model (i) (ii) (iii) (i) (ii) (iii)

slope
±
error
y-int.
±
error
[1/s]
slope
±
error
y-int.
±
error
[1/s]
slope
±
error
y-int.
±
error
[1/s]
+1.96×S
D
mean
-1.96×SD
[1/s]
+1.96×S
D
mean
-1.96×SD
[1/s]
+1.96×S
D
mean
-1.96×SD
[1/s]
1.5 T non-FS vs. FS 0.876§ ± 0.009 21§ ± 6 0.783§ ± 0.011 36§ ± 6 0.829§ ± 0.008 21§ ± 5 94-45-184 104-56-216 90-60-211
non-FS vs. corr. FS 1.032§ ± 0.010 4 ± 7 0.927§ ± 0.013 19§ ± 7 0.981§ ± 0.010 1 ± 6 110 21-68 75-12-99 60-7-75

3 T non-FS vs. FS 1.027 ± 0.018 -19 ± 18 0.980 ± 0.020 -4 ± 15 1.028 ± 0.017 -17 ± 15 129 3-123 75-17-109 108 3-101

Note: Slope and y-intercept of each linear regression were tested by the two-sided t-test for being statistically different from 1 and 0, respectively, at a significance level of P = 0.05. Values for which statistical significance was found are indicated by the § symbol. Abbreviations: y-int., y-intercept; SD, standard deviation; non-FS, without fat saturation; FS, with fat saturation; corr. FS, corrected fat saturation.