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Hello FreeSurfer Developers,
I am attempting to run recon-all on a group of nifti T1’s (parameters listed below). All the T1’s look good (no noticeable artifacts) and the cortical parcellations work well, and log files say completed without error. However, when looking at the subcortical segmentations, the thalamus, caudate and hippocampus appear consistently under segmented (screenshots below).
T1 MRI: 1.5 Tesla GE Signa HDxt scanner with an 8-channel head coil, using a three-dimensional fast spoiled gradient echo (3D-FSPGR) imaging sequence, with 188 sagittal slices scanned using the following parameters: repetition time (TR) = 11.70 ms, echo time (TE) = 5.12 ms, inversion time = 500 ms, flip angle = 8°, matrix size = 256×256, slice thickness = 1 mm, in-plane resolution = 1 mm^2.
We have tried a number of preprocessing steps on the T1 images but none of them appear to significantly improve the subcortical segmentations:
1. Normalizing the intensity of T1 voxels 2. Running FreeSurfer versions 5.3, 6, and 7 3. FastSurfer 4. DeNoising using ANTS 5. Bias field correction using ANTS
We did not find anyone with similar issues in the archive so any insights or guidance would be much appreciated.
Sincerely, Melody