Hi Bruce,

Looking at one of the successfully processed subjects in tkmedit, I would
guesstimate the range in the brain to be ~20-65. The corresponding 001.mgz
is equally dark.

Regarding the scale option, would I run that initially ( with --scale <scale
factor> ), and then run autorecon as normal?
Do I find the scale factor as follows: 116 = old peak value * scale factor,
where old peak value is the mri peak value attained from these dark images?

Thanks,
- Jerry

On Sun, Apr 27, 2008 at 7:40 AM, Bruce Fischl <[EMAIL PROTECTED]>
wrote:

> p.s. are the 001.mgz and 002.mgz dark? The orig.mgz? Sometimes nu_correct
> can create very dark images, and there are some switches you can loo through
> to correct them. Alternatively if it is the 001.mgz, mri_convert has a scale
> option you can use.
>
> cheers,
> Bruce
>
>
>
> On Fri, 25 Apr 2008, Jerry Yeou-Wei Chen wrote:
>
>  Okay, thanks for your help again Nick!
> > Regarding the scan data: I am actually working with data collected by a
> > previous member of our lab, and there were indeed some problems...
> > (related
> > to the SCIC algorithm on our GE scanner). So, our technician created a
> > program to "uncorrect" the intensity scaling.  The images he saved
> > appear
> > dark when we load them freesurfer, but we expected autorecon's intensity
> > normalization would handle this. In fact, autorecon did successfully
> > process
> > 34 out of 35 scans. (the cortical surface appears quite decent for them,
> > and
> > the thickness values on our average subject appears to be within normal
> > range...)
> > I wonder if I should be concerned about our results due to this
> > intensity
> > issue...
> >
> > On Tue, Apr 22, 2008 at 2:42 PM, Nick Schmansky <
> > [EMAIL PROTECTED]>
> > wrote:
> >
> >  Jerry,
> > >
> > > At this point, I think Bruce will need to jump-in to answer (he is
> > > out-
> > > of-town today).  I think he will ask about your scan parameters, ie,
> > > how
> > > is your scanner setup?  It sounds as if something is not quite right
> > > in
> > > the data coming-off the scanner.
> > >
> > > Nick
> > >
> > >
> > > On Tue, 2008-04-22 at 14:26 -0400, Jerry Yeou-Wei Chen wrote:
> > >
> > > > Thanks for the reply, Nick. I think you correctly identified the
> > > > problem.
> > > > nu.mgz is oriented correctly, but looks very dark... However, it
> > > > looks
> > > > decent if I adjust the brightness/contrast....
> > > > I have other scans that were processed without error, and the
> > > > orig.mgz, and nu.mgz also appear quite dark (and the mri peaks are
> > > > very low, too: 29, 46, 52, ...) Also, for those successfully
> > > > processed, the brainmask.mgz looks decent as well.
> > > > Perhaps this scan that exited with error was too dark to be
> > > > corrected
> > > > by the intensity normalization algorithm?
> > > >
> > > > - Jerry
> > > >
> > > > On Tue, Apr 22, 2008 at 1:22 PM, Nick Schmansky
> > > > <[EMAIL PROTECTED]> wrote:
> > > >        Jerry,
> > > >
> > > >        I'm not sure why it exited without giving a better message,
> > > >        but this is
> > > >        a clue why it exited:
> > > >
> > > >
> > > >        before smoothing, mri peak at 0
> > > >        after smoothing, mri peak at 0, scaling input intensities by
> > > >        inf
> > > >
> > > >
> > > >
> > > >
> > > >        the mri peak is at zero, which is wrong (it should be around
> > > >        116/117 or
> > > >        so).
> > > >
> > > >        if you view nu.mgz (tkmedit -f nu.mgz), does it look ok?  is
> > > >        it oriented
> > > >        correctly?
> > > >
> > > >        Nick
> > > >
> > > >
> > > >
> > > >
> > > >
> > > >        On Tue, 2008-04-22 at 12:28 -0400, Jerry Yeou-Wei Chen wrote:
> > > >       > Hello,
> > > >       >
> > > >       > I am having trouble deciphering why I got the error attached
> > > >        below.
> > > >       > Any suggestions would be greatly appreciated!
> > > >       >
> > > >       > Thanks,
> > > >       > - Jerry
> > > >       >
> > > >       >
> > > >       >
> > > >       >
> > > >       > Tue Apr 22 10:15:22 EDT 2008
> > > >       > talairach_avi done
> > > >       >
> > > >       >  cp transforms/talairach.auto.xfm transforms/talairach.xfm
> > > >       >
> > > >       > #--------------------------------------------
> > > >       > [EMAIL PROTECTED] Talairach Failure Detection Tue Apr 22 
> > > > 10:15:23 EDT 2008
> > > >       > /scratch/freesurfer/subjects/17/s017/mri
> > > >       >
> > > >       >  talairach_afd -T 0.005 -xfm transforms/talairach.xfm
> > > >       >
> > > >       > talairach_afd: Talairach Transform: transforms/talairach.xfm
> > > >        OK
> > > >       > (p=0.7072, pval=0.4932 >= threshold=0.0050)
> > > >       >
> > > >       >  awk -
> > > >       >
> > > >        f /scratch/freesurfer/bin/extract_talairach_avi_QA.awk
> > > >
> > > /scratch/freesurfer/subjects/17/s017/mri/transforms/talairach_avi.log
> > >
> > > >       >
> > > >       > TalAviQA: 0.96840
> > > >       > z-score: -2
> > > >       > #--------------------------------------------
> > > >       > [EMAIL PROTECTED] Intensity Normalization Tue Apr 22 10:15:23 
> > > > EDT 2008
> > > >       > /scratch/freesurfer/subjects/17/s017/mri
> > > >       >
> > > >       >  mri_normalize -g 1 nu.mgz T1.mgz
> > > >       >
> > > >       > using max gradient = 1.000
> > > >       > reading from nu.mgz...
> > > >       > normalizing image...
> > > >       > talairach transform
> > > >       >  0.976   0.083   0.030  -136.866;
> > > >       > -0.072   1.053   0.164  -153.262;
> > > >       > -0.020  -0.109   1.085  -122.101;
> > > >       >  0.000   0.000   0.000   1.000;
> > > >       > INFO: Modifying talairach volume c_(r,a,s) based on
> > > >        average_305
> > > >       > building Voronoi diagram...
> > > >       > performing soap bubble smoothing...
> > > >       > 3d normalization pass 1 of 2
> > > >       > building Voronoi diagram...
> > > >       > performing soap bubble smoothing...
> > > >       > 3d normalization pass 2 of 2
> > > >       > building Voronoi diagram...
> > > >       > performing soap bubble smoothing...
> > > >       > writing output to T1.mgz
> > > >       > 3D bias adjustment took 19 minutes and 44 seconds.
> > > >       > white matter peak found at 111
> > > >       > gm peak at 88 (88), valley at 80 (80)
> > > >       > csf peak at 57, setting threshold to 77
> > > >       > white matter peak found at 111
> > > >       > gm peak at 88 (88), valley at 80 (80)
> > > >       > csf peak at 55, setting threshold to 77
> > > >       > #--------------------------------------------
> > > >       > [EMAIL PROTECTED] Skull Stripping Tue Apr 22 10:35:16 EDT 2008
> > > >       > /scratch/freesurfer/subjects/17/s017/mri
> > > >       >
> > > >       >  mri_em_register -skull
> > > >       >
> > > >        nu.mgz
> > > >
> > > /scratch/freesurfer/average/RB_all_withskull_2008-03-26.gca
> > >
> > > >       > transforms/talairach_with_skull.lta
> > > >       >
> > > >       > aligning to atlas containing skull, setting
> > > >        unknown_nbr_spacing = 5
> > > >       > reading 1 input volumes...
> > > >       > logging results to talairach_with_skull.log
> > > >       > reading
> > > >       >
> > > >
> > > >  '/scratch/freesurfer/average/RB_all_withskull_2008-03-26.gca'...
> > > >       > average std = 23.1   using min determinant for
> > > >        regularization = 53.4
> > > >       > 0 singular and 5702 ill-conditioned covariance matrices
> > > >        regularized
> > > >       > reading 'nu.mgz'...
> > > >       > freeing gibbs priors...done.
> > > >       > bounding unknown intensity as < 20.2 or > 943.7
> > > >       > total sample mean = 92.0 (1443 zeros)
> > > >       > ************************************************
> > > >       > spacing=8, using 3481 sample points, tol=1.00e-05...
> > > >       > ************************************************
> > > >       > register_mri: find_optimal_transform
> > > >       > find_optimal_transform: nsamples 3481, passno 0, spacing 8
> > > >       > GCAhistoScaleImageIntensities: could not find wm peak
> > > >       > resetting wm mean[0]: 117 --> 126
> > > >       > resetting gm mean[0]: 74 --> 74
> > > >       > input volume #1 is the most T1-like
> > > >       > using real data threshold=9.0
> > > >       > using (102, 110, 122) as brain centroid...
> > > >       > mean wm in atlas = 126, using box (80,83,98) --> (123,
> > > >        136,146) to
> > > >       > find MRI wm
> > > >       > before smoothing, mri peak at 0
> > > >       > after smoothing, mri peak at 0, scaling input intensities by
> > > >        inf
> > > >       > Linux kdavis8-efef.uhnres.utoronto.ca 2.6.23.1-21.fc7 #1 SMP
> > > >        Thu Nov 1
> > > >       > 21:09:24 EDT 2007 i686 i686 i386 GNU/Linux
> > > >       >
> > > >       > recon-all exited with ERRORS at Tue Apr 22 10:41:40 EDT 2008
> > > >
> > > >       > _______________________________________________
> > > >       > Freesurfer mailing list
> > > >       > Freesurfer@nmr.mgh.harvard.edu
> > > >       > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
> > > >
> > > >        _______________________________________________
> > > >        Freesurfer mailing list
> > > >        Freesurfer@nmr.mgh.harvard.edu
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> > > >
> > > > _______________________________________________
> > > > Freesurfer mailing list
> > > > Freesurfer@nmr.mgh.harvard.edu
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> > > >
> > >
> > >
> > >
> >
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