I am reaching out to ask some questions about segmenting PET data. I am working with an
open access dataset
(ADNIDOD Updated ADNIDOD Datasets Now Available | ADNI) to analyze neurobiological differences in veterans with a history of TBI. I am hoping to use the PET data (there are the raw dicoms and preprocessed PET data) to segment the choroid plexus using a specific segmentation
software (GitHub - EhsanTadayon/choroid-plexus-segmentation: Segmentation of Choroid Plexus using Gaussian Mixture Model) I have already done the segmentation on the T1 images, but am hoping to apply
the masks to the preprocessed PET images. I was looking at using the
“mri_gtmpvc” with freesurfer or fslstats with fsl command to segment the choroid plexus using the mask I already created but was hoping for some guidance. There are also several options of preprocessed PET data I can chose from, including “co-registered averaged standardized image and voxel” including
“co-registered averaged standardized image and voxel with uniform resolution”
and “co-registered averaged” or “co-registered dynamic”. When using fslstats i get a message saying my mask and image are different sizes.
If anyone are willing to help or can connect me to someone how might have time
to reply or quickly chat, that would be great. I appreciate the support.