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
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