Hi Donatas – All sounds fine. You can process single time points, and you can process subsets of time points if the DWI data from one of them is unusable. The T1 base template is only used as a reference space for longitudinal TRACULA, so it shouldn’t make a huge difference if one additional time point was used to generate that T1 base template (assuming of course that there wasn’t a huge morphological difference in that specific time point that would make the base template much different if it had been generated without that time point).
Best, a.y
From: <freesurfer-bounces@nmr.mgh.harvard.edumailto:freesurfer-bounces@nmr.mgh.harvard.edu> on behalf of Donatas Sederevicius <donatas.sederevicius@psykologi.uio.nomailto:donatas.sederevicius@psykologi.uio.no> Reply-To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edumailto:freesurfer@nmr.mgh.harvard.edu> Date: Wednesday, January 31, 2018 at 4:51 AM To: "freesurfer@nmr.mgh.harvard.edumailto:freesurfer@nmr.mgh.harvard.edu" <freesurfer@nmr.mgh.harvard.edumailto:freesurfer@nmr.mgh.harvard.edu> Subject: [Freesurfer] Longitudinal TRACULA study
Hi,
I want to clarify some aspects longitudinal TRACULA processing before processing my data.
For example, I have 3 timepoints of data of the same participant:
sub101_01 sub101_02 sub101_03
All of these have structural and diffusion data (same scanner, same acquisition parameters). I processed structural data using FS longitudinal pipeline and got the following:
base_101 sub101_01.long.base_101 sub101_02.long.base_101 sub101_03.long.base_101
Now I want to run longitudinal TRACULA processing. If all data is OK after quality checking (struct and DWI) I could set the configuration file as follows:
set subjlist = ( sub101_01 \ sub101_02 \ sub101_03 )
set baselist = ( base_101 \ base_101 \ base_101 )
It turns out that DWI data of sub101_01 is extremely distorted and cannot be used for processing. Should I re-process struct data based on the last two timepoints or is it perfectly fine to use the base and long derived from all timepoints although I’m running tracula for the last two timepoints of DWI?
In addition to that, is it fine to run longitudinal TRACULA on a list of subjects where some of them have only one timepoint of data and structural processing underwent longitudinal pipeline for that one timepoint?
Thank you for your answers.
Best, Donatas