[Freesurfer] eTIV question

2016-02-14 Thread angela . favaro
Dear Freesurfer experts,
I have a question about eTIV (FS 5.3) which I use as a covariate where
appropriate. Is it in some way influenced by the presence of brain
atrophy?
I have a new sample of subjects in a longitudinal study: at time 1 they
have some atrophy (due to low body weight) that improves in time 2 (4
months). I observed that eTIV-time1 is slightly correlated with weight
(r=0.3) whereas no correlation is present at time 2. The correlation
between eTIV-time1 and eTIV-time2 is somewhat lower than expected (r=0.53)
and is lower than correlation between SegBrain_Vol_1 and SegBrain_Vol_2
(0.65).

Do you suggest in these cases to perform manual segmentation to obtain
TIV? or is there any other method (in freesurfer) to obtain an estimate of
TIV not influenced by brain atrophy? What about using BrainMask_to_TIV?

Thank you for any suggestion

Angela


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Re: [Freesurfer] wm-hypointensities variables

2016-02-14 Thread Otília
 

Thank you. 

Yes, I mean, I can find in literature several methods
to estimate T1w and T2w lesion volumes. I guess the ones estimated from
FS are the sum of these non-wm- and wm- hypointensities values (and not
just wm-hypointensities), and are referred as T1w lesion volumes since
the segmentation was based on T1w images. 

Usually in healthy subjects
nobody refers any value (in literature), so I suppose that authors just
ignore the fact that FS has estimates of this measure also for controls
(even if it's False Positive, or other reason). 

Cheers 

Em 2016-02-13
21:03, Bruce Fischl escreveu: 

> It depends what you want. If you want
total volume, then yes. They are 
> typically false positives in young
healthy subjects. Telling damaged 
> white matter from say the
superior-most aspect of the caudate is *very* 
> hard on just a T1
> On
Sat, 13 Feb 2016, Otília wrote:
> 
>> Thank you for your reply. I just
wasn't expecting ("high") values in healthy subjects. Of course FS just
"sees" voxels, whether it's a lesion or other thing, but I was afraid it
would be some segmentation issue. I have also other MRI contrasts but I
really wanted to estimate possible T1w lesion volumes. That's why I
asked for some references, and to understand the difference between
"wm-hypointensities" and "non-WM-hypointensities". Should I sum both
when referring to "T1w lesion volume"? best regards Em 2016-02-11 17:30,
Bruce Fischl escreveu: you can turn this off with the -nowmsa flag I
believe in recon-all. The labels are for damaged white matter and
damaged gray matter, which can be tough to distinguish based only a T1.
We have some (not-yet-distributed) tools that do pretty well on this if
you have other contrasts like T2/FLAIR/PD. cheers Bruce On Thu, 11 Feb
2016, Otília wrote: Greetings, I am wondering if there is some
information regarding the meaning of "wm-hypointensities" and
"non-WM-hypointensities" variables from the aseg.stats file, ie, what
features are included in these variables and how FS computes them. I
checked previous posts that have the same issue I have now. I find some
non-zero, (some cases have "quite big") WM-hypointensities values for
healthy young brains. I find it odd. I would appreciate some additional
information about these issues. Thank you! Best regards,
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