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I REGISTERED TO THIS MAILING LIST AND HERE IS WHAT HAPPENED:

1.I'M FLOODED WITH EMAILS - I DONT WANT THAT

2 TWICE I ASKED TO BE UNSUBSCRIBED - SEEMS IT DIDN'T WORK - STILL BEING
FLOODED

WHO CAN HELP/WHO DO I EMAIL??

Dr Katarzyna Cieśla-Seifer
The Baruch Ivcher Institute for Brain, Cognition & Technology, The Baruch
Ivcher School of Psychology and the Ruth and Meir Rosental Brain Imaging
Center, Reichman University, Herzliya, Israel, World Hearing Center,
Warsaw, Poland



On Thu, 24 Apr 2025, 05:44 Dorian Pustina, <alb...@gmail.com> wrote:

>         External Email - Use Caution
>
> Hi all, I have some questions regarding failed segmentations on
> longitudinal data.
>
> We have large datasets of Huntington's disease with data collected
> longitudinally for 3-10 years. Freesurfer is our main tool to extract
> volumetric scores, particularly in caudate and putamen.
>
> I usually QC Freesurfer segmentations and include the fail/pass status for
> other researchers to use. I inspect the segmentation of the cross-sectional
> pipeline because I noticed that mis-segmentations are clearer and the
> longitudinal pipeline does not seem to correct them. For example, a
> displaced putamen segmentation in cross-sectional pipeline becomes just
> more fuzzy in the longitudinal pipeline with more peppered voxels at the
> edges. So basically, my QC of the cross-sectional segmentation decides if
> the timepoint is good or not.
>
>
> I have three questions:
> 1. Is my understanding correct that a motion corrupted scan (i.e., with
> motion rings) is going to affect the other timepoints by compromising the
> SST? Thus the only solution would be to exclude the motion
> corrupt timepoint from FS processing? And in case the timepoint has been
> processed with FS, is the best practice to exclude the entire subject given
> that the bad scan have compromised the accuracy of other timepoint
> segmentations?
> 2. On a different scneario, if a timepoint has a good scan but
> Freesurfer's segmentation is  simply innacurate or displaced, is this bad
> segmentation at the cross-sectional level going to affect the other
> timepoints after running the longitudinal pipeline?
> 3. This is the most important question: is there a common recommendation
> or practice how to deal with failed segmentations in the longitudinal
> pipeline? Correcting manually the segmentations is not an option, so I am
> asking whether we can just exclude the failed segmentation timepoint from
> the analysis or whether we should exclude the entire subject?
>
> Thank you for sharing any thoughts. I cannot seem to find information on
> this topic on papers or the mailing list, so any tips on how you or your
> lab deals with these issues can help.
>
> Dorian
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