Many thanks for this. My experience so far with SAMSEG, SynthSeg---small sample so far. All images were obtained 3DT1 isomeric voxel. Just wanted to see how the two pipelines would compare.
2 subjects who went on 6 different clinical scanners, GE or Philips:listed below.
The coefficient of variation in the structures I'm interested in was: normalized by the ICV (sbTIV, segmentation based TIV).
SAMSEG
| interscan | sbTIV | NBrain-Stem | Ncortical-vol | NPutamen | NCaudate | NThalamus |
| COV | 1.620754 | 1.937988 | 0.996077 | 1.971807 | 1.863897 | 1.549882 |
SynthSEG (normalized to ICV (sbTIV)--which was obtained from running SAMSEG on synthetic MRI (SynthSR):
| Brainstem | Cortical vol | Putamen | Caudate | Thalamus |
| 1.48696 | 1.61017 | 2.20072 | 2.51099 | 2.16196 |
Since head size does not change in the short period of time, my test subjects (n=50) repeated scan x 2 had a sbTIV coefficient of variation of 0.93 based on SAMSEG.
Across the 6 clinical scanners that I used (listed below), I think there was enough tissue contrast similarities across the scanners to give a COV around 2%, which I think is NOT bad. Even in clinical trials with MRIs performed on the same vendor scanner across different sites, I think the goal is to produce variability < 2%.
From what I can see from my data, I think you could compare across vendors with a reasonable overall COV of around 2%, that is if the biological effect is > 2% per time of interest.
my best,
AJ
Scanners used for controls and test subjects:
| Achieva_TFE_R1 |
| Achieva_TFE_R2 |
| Ingenia_R1 |
|
| Ingenia_R2 |
|
| GE_SPGR_1529_R1 |
| GE_SPGR_1529_R2 |
| GE_SPGR_R1 |
| GE_SPGR_R2 |
| Phillip_Achieva_R1 |
| Achieva_R2 |
| GE_R1 |
|
| GE_R2 |