Hello,
what is the correct way to cite freeview in a papar for a manual rois
segmentation task?
Thanks,
Luigi.
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The information in thi
Ciao Eugenio,
thanks a lot for the support.
We made some tests and clearly the high res T2 gives the best subfields
contrast.
We will proceed with the ADNI like parameters.
Have a nice day,
Luigi.
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Dear members,
in our center we are evaluating whether to introduce a T2 into a protocol
that, among others, already includes a T1 and a FLAIR sequences.
Our main concern is to to maximize the information-to-duration ratio of the
entire protocol.
In order to improve the subfields' segmentation w
Thank you Zeke.
I copied the library from a third computer and now there are no more
segmentation faults. Probelm solved.
Best,
Luigi.
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Dear all,
I'm facing the same problem of Alessandra, but the solution provided by
Zeke doesn't work for me.
I still get a segmentation fault in converting mnc to nii.
Thanks in advance for your help.
Luigi.
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nts. XY=volume of
intersection
diceXY = 2.0 * XY / (VolX + VolY)
return diceXY
Best regards,
Luigi Antelmi
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The information in th
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>
>
> - Original Message -
> From: "Luigi Antelmi"
> To: "e iglesias" , freesurfer@nmr.mgh.harvard.edu
> Sent: Tuesday, September 9, 2014 11:48:10 AM
> Subject: Re: [Freesurfer] hi
Dear Eugenio,
/"assign to each voxel the label with the highest posterior probability"
/implies that each voxel must belong to *one and only one* label, right?
I've found that this is not the case with the posterior_*.mgz files
outputted by freesurfer, where each voxel (especially the ones wi
(with some
intermediate passages)
Find the threshold value *thr* such that:
Does this make any sense to you?
Luigi.
2014-09-08 9:49 GMT+02:00 Luigi Antelmi :
> Dear list members,
>
> as you know, the hippocampal subfields given back by FreeSurfer
> (posterior_left_CA1.mgz, pos
Dear list members,
as you know, the hippocampal subfields given back by FreeSurfer
(posterior_left_CA1.mgz, posterior_left_CA2-3.mgz, etc.) are posterior
probability maps in the range [0-255] (i.e. [0-1] with 8 bit of
quantization).
Although there is a way to calculate the volume (
kvlQuantifyPost
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