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. 2020 May 7;4:28. doi: 10.1186/s41747-020-00154-5

Table 2.

Comparative representation of short and long T2 values and fat content as derived from the short T2 contribution (ILT method) or biexponential contribution (Mexp method)

Samples Phantom position Mean T2 (inverse Laplace transform) Mean T2 (multiexponential method)
Short T2 (ms) ± SD Long T2 (ms) ± SD Short T2 contribution Short T2 (ms) ± SD Long T2 (ms) ± SD Biexponential contribution
Acetone 1 2,196 ± 1,066 0.0% 2,231 ± 206 2%
Double distilled water 2 1,884 ± 987 0.0% 1,716 ± 240 3%
Milk cream 35% 3 56 ± 25 177 ± 77 17.2% 41 ± 16 240 ± 55 100%
Milk cream 20% 4 68 ± 53 315 ± 195 5.2% 44 ± 24 304 ± 66 95%
Milk cream 15% 5 51 ± 13 215 ± 94 3.6% 46 ± 26 411 ± 48 90%
Milk cream 12% 6 56 ± 18 238 ± 117 3.3% 57 ± 35 349 ± 64 85%
One white, three yolks 7 82 ± 30 261 ± 95 44% 46 ± 10 177 ± 23 90%
Three whites, one yolk 8 287 ± 72 47 ± 33 317 ± 50 60%
One white, three yolks 9 69 ± 25 65 ± 2 9%
One yolk 10 31 ± 7 216 ± 50 30% 30 ± 2 236 ± 20 100%
Corn oil 11 56 ± 18 215 ± 115 20% 40 ± 12 193 ± 33 100%
One white 380 ± 200 50 ± 33 395 ± 62 40%

Short T2 contribution is the ratio of (area of short T2 distribution)/(area of short T2 distribution + area of long T2 distribution) and biexponential T2 contribution is the ratio of number of voxels classified as biexponential/number of monoexponential voxels + number of biexponential voxels