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I had the problem already with FS 7.2.0, but since it also occurs in FS 8.1.0, which I currently have installed on UBUNTU 20.24, an answer would
be helpful. I am fully aware that FS and Synthseg do not provide exactly the same results when calculating the volumes for the same T1 scan with FS and Synthseg. E.g when I calculate a T1 3D 1mm ISO scan and a FLAIR 3D 2mm ISO scan of the same person both
with Synthseg, I also fully understand that the results will not be exactly the same here either. However, what I do not understand is that the results for sub-volumes sometimes deviate by a factor of 1000? I have attached a small table below: row 1 Synthseg T1
scan, row 2 Synthseg FLAIR scan, row 3 FS T1 scan same subject. E.g. for "left lateral ventricle," the Synthseg FLAIR and FS results are about the same, but the Synthseg T1 does not match by a factor of 1000. For "left inferior lateral ventricle," the Synthseg
FLAIR result is too large. Where do these deviations come from? Is it a unit problem??? I do not understand what is behind it. These deviations occur in all individuals in this manner.
Thank you for your help,
Jürgen
|
subject |
total intracranial |
left cerebral white matter |
left cerebral cortex |
left lateral ventricle |
left inferior lateral ventricle |
left cerebellum white matter |
left cerebellum cortex |
left thalamus |
left caudate |
left putamen |
left pallidum |
3rd ventricle |
4th ventricle |
brain-stem |
left hippocampus |
left amygdala |
csf |
left accumbens area |
|
Syn= 02_t1_5_13 |
1581149.5 |
234530.16 |
279514.53 |
28584312 |
515.05 |
15703237 |
62220.02 |
5994828 |
3766241 |
4605884 |
1485176 |
1864659 |
2365228 |
23305277 |
3743831 |
1692543 |
258776.8 |
679.45 |
|
Syn= 02_flair_5_13 |
1540067.8 |
237580.17 |
278995.16 |
26533.9 |
462551 |
14112386 |
64456.68 |
6460912 |
3999.81 |
4585682 |
1717103 |
1535.82 |
1356496 |
26397467 |
3787048 |
1596163 |
211639.08 |
720396 |
|
fs= 02_t1.5.3 |
1558777.000000 |
212518.500000 |
248086.368363 |
30058.0 |
1061.2 |
16326.6 |
57684.7 |
5877.0 |
3879.4 |
4342.9 |
1751.2 |
2113.8 |
2982.3 |
20526.8 |
4015.2 |
1763.8 |
374287.9 |
539.0 |
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