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Hi Yununs,
thanks for your mail:
There are no fixed and hard thresholds for these metrics (e.g., SNR). It really
depends on the sample and image characteristics. More important than the
absolute values is the distribution of these values across cases; that is, we
typically use them to check if are there any images that have very different
values than the others (outliers). These images would then require closer
inspection.
Best,
Kersten
On Sun, 2023-11-19 at 07:47 +0000, yunus soleymani wrote:
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Hi Freesurfer users,
I have recently used the FSQC algorithm
(https://secure-web.cisco.com/1mLeKlIR1q8rizh6y08qBZ7PKZdlD2oOwA4tnpgsO99TKEwYIOck4qrzXrqboQAna9vs7TzIREN33RyB-cbnZO-ttU5q7hQWt71nEF1O1tJq1AlaffzdqQJNQkwfBtfgHBKjR1-r3ChazkCzlhE-IM7p1a9vAz5jp4GxHERnsJxiSk0d5H-7MAAijSSbuXhkMazQgq1M6kVbKsGWu-5cFnAfwSiqayCc24aWMfL79YfHbExpTjPjfbWKMOLtgUQtdUHkmbatJVNIUT4SA59EHhp1rFY0s5ip0_F11XjnHmF5gmReH1q2S6AYjY5iJ8cyWx132SZsmDIa91qa0faYthA/https%3A%2F%2Fgithub.com%2FDeep-MI%2Ffsqc%23usage)
to check the quality of my Freesurfer volumetric results. However, I am having
trouble understanding the meaning of the output numbers. What is the acceptable
threshold number of SNR? I would appreciate any help you can provide.
Thank you,
Yunus
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