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Hello Alex,
I’m not sure Ubuntu 16.04 LTS has everything installed by default that the Qt
graphics framework is looking to run in the X windows server.
You could try installing,
$ sudo apt-get update$ sudo apt-get install libx11-dev libxext-dev
l
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Hi Freesurfer experts,
I’m trying to update my current Freesurfer version (from 6.0 to 7.1).
I’d like to know whether the installation procedure for 7.1 would overwrite the
current one (6.0).
Many thanks,
Pilar
> Il giorno 22 ago 2020, alle ore 7
Hi Caspar
Can you elaborate? What are the issues?
Bruce
From: freesurfer-boun...@nmr.mgh.harvard.edu
On Behalf Of Caspar M. Schwiedrzik
Sent: Monday, September 7, 2020 2:27 AM
To: Freesurfer@nmr.mgh.harvard.edu
Subject: [Freesurfer] MEMPRAGE vs. MP2RAGE
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Hi
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Hi
Thanks for the quit reply. I followed those instructions, it seemed that all
those libraries were already installed. Freeview still won’t launch (even after
rebooting).
Here’s the output of the second command you suggested:
alexlw@alexs:~$ su
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Hi Bruce,
In that paper, you reported that MP2RAGE underestimates cortical thickness
relative to MEMPRAGE and also has slightly lower reproducibility.
Since Recon-all does not seem to have built in functionality to deal with
the background noise in MP2R
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-- Forwarded message -
From: Al Qadi, Ameen
Date: Fri, Sep 4, 2020 at 6:09 PM
Subject: Whole Thalamus Volume
To: Freesurfer support list
Dear Freesurfer Developers,
I noticed a significant disparity in the left and right whole thala
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Dear Freesurfer experts,
I performed group analysis in QDEC in order to compare cortical thickness
between two groups using the Monte Carlo Z simulation correction. My
question is, where is located the z-score of each significant cluster?
Maybe in the
Oh, sorry, yes I remember now. I guess mp2rage naturally sacrifices some
SNR/unit time to get flatter images. I think Doug (and Jon, now included) can
comment on this
Cheers
Bruce
From: freesurfer-boun...@nmr.mgh.harvard.edu
On Behalf Of Caspar M. Schwiedrzik
Sent: Monday, September 7, 2020
Hi Kelsey,
The volumes are derived from the probabilistic segmentation at the finest level
of detail, so there’s no direct mapping to the different hierarchical
segmentations. Your safest bet is probably to count the number of voxels in the
hard segmentation and multiply by the volume of the vox
They’re different modules with different algorithms, which give different yet
very highly correlated results. So, whatever you use the volumes for further
down the stream, the results should be very similar with either version.
Cheers,
/Eugenio
Juan Eugenio Iglesias
Senior research fellow
CMIC
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Dear Freesurfer Experts,
I have few questions regarding CWP values from mri_glmfit-sim using --cwp 0.05, --cwp 0.1, --cwp 0.999.
Using the 3 three commands below (A, B and C):
A. mri_glmfit-sim --glmdir lh_status.glmdir --perm 1 1.3 abs
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