External Email - Use Caution        

>
> Hi Douglas,
>
> Could you help me about my previous mail with questions ?
>
> Thanks,
> Matthieu
>
>
> Le ven. 7 déc. 2018 à 14:31, Matthieu Vanhoutte <
> matthieuvanhou...@gmail.com> a écrit :
>
>> Hi Douglas,
>>
>> Thanks for these clarifications. I added some others questions inline
>> below.
>>
>> Best,
>> Matthieu
>>
>> > Le 6 déc. 2018 à 17:25, Greve, Douglas N.,Ph.D. <dgr...@mgh.harvard.edu>
>> a écrit :
>> >
>> >
>> >
>> > On 11/30/2018 07:15 AM, Matthieu Vanhoutte wrote:
>> >>
>> >>         External Email - Use Caution
>> >>
>> >> Hi Douglas,
>> >>
>> >> Thank you for answering. Please find below new questions.
>> >> Bien cordialement,
>> >>
>> >>
>> >> Le ven. 30 nov. 2018 à 00:00, Greve, Douglas N.,Ph.D.
>> >> <dgr...@mgh.harvard.edu <mailto:dgr...@mgh.harvard.edu>> a écrit :
>> >>
>> >>    Hi Matthieu, sorry for the delay
>> >>
>> >>    On 11/29/2018 12:50 PM, Matthieu Vanhoutte wrote:
>> >>>           External Email - Use Caution
>> >>>
>> >>> Dear Freesurfer's experts,
>> >>>
>> >>> I tried to use PETSurfer to correct partial volume effect on my
>> >>    FDG PET images, testing both Muller-Gartner and RBV corrections.
>> >>>
>> >>> I ran the commands specified in PETSurfer website and used the
>> >>    two following commands for both MGX and RBV corrections
>> respectively:
>> >>>
>> >>> mri_gtmpvc --i PET.nii.gz --reg register.dof6.lta --psf-col 5.51
>> >>    --psf-row 5.51 --psf-slice 5.9 --seg gtmseg.mgz
>> >>    --default-seg-merge --auto-mask PSF .01 --mgx .01 --o
>> ./gtmpvc.output
>> >>>
>> >>> mri_gtmpvc --i PET.nii.gz --reg register.dof6.lta --psf-col 5.51
>> >>    --psf-row 5.51 --psf-slice 5.9 --seg gtmseg.mgz
>> >>    --default-seg-merge --auto-mask PSF .01 --rbv --o rbv.output.orig
>> >>>
>> >>> 1) However, I found that cortical output mgx.ctxgm.nii.gz of MGX
>> >>    correction encompass more than just GM and values at the
>> >>    boundaries of mgx.ctxgm.nii.gz seem to me very high or aberrant.
>> >>    This is expected. The MG method gives you a value every place that
>> >>    there
>> >>    is GM signal *in the PET volume after partial volume effects*. So
>> >>    basically, if you were to take the cortical ribbon and smooth it
>> >>    by your
>> >>    PSF, every non-zero voxel has some GM in it (which is why the
>> >>    edges are
>> >>    so high). When you run it with --mgx .01, it will exclude voxels
>> that
>> >>    have less than 1% GM after smoothing. If you you are disturbed by
>> the
>> >>    wide ribbon, just make the threshold higher. In theory, every point
>> >>    along the surface normal gives you a valid answer, but the further
>> >>    from
>> >>    the center of the ribbon, the noisier it is going to be, so we
>> >>    generally
>> >>    only sample it at the center (--projfrac 0.5 to mri_vol2surf).
>> >>
>> >>
>> >> Basically, please find below the mgx.ctxgm with threshold set at 0.01:
>> >> image.png
>> >>
>> >> Then threshold set at 0.1:
>> >> image.png
>> >>
>> >> Values at some parts of the cortex (olfactory, visual) are not the
>> >> same between the two thresholds. In the first one in these parts of
>> >> the brain, values are higher than the second and seem kind of
>> >> aberrant. Is there no reason to prefer a threshold at 0.1 than 0.01 ?
>> >> For example, in (Douglas et al., 2016, NeuroImage) a threshold of 0.3
>> >> has been found to be optimal: how determine visually or quantitatively
>> >> this optimal threshold ?
>> > So when you click on the same voxel in both images, you get different
>> > values? Or is it just that the color scale is changing? The threshold
>> > should not change the values, just what is in or out of the final mask.
>> > The threshold of 0.3 was chosen mainly because it worked for the ROI
>> > analysis. In general, you should use GTM instead of MG for ROI
>> analysis.
>> > For surface-based analysis, the threshold is not critical because the
>> GM
>> > PVF is generally pretty high in cortex. It will make more of a
>> > difference in subcortical analysis.
>>
>> Yes, thresholding at 0.01 and 0.1 gave me different values in the same
>> voxel in both images. Whereas when thresholding between 0.1 and 0.3 gave me
>> same values. What could it be due to ?
>>
>> GTM is always computed in the *.stat file whatever the method specified
>> in mri_gtmpvc command ?
>>
>> If threshold is not critical for cortical surface, how to determine the
>> best threshold for subcortical analysis ? Is it better to have more in the
>> final mask ?
>>
>> >>
>> >>
>> >>>
>> >>> 2) Concerning RBV correction, output rbv.nii.gz seems to me
>> >>    following more precisely the GM ribbon. However contrary to what
>> >>    is said in PETSurfer website, rbv.nii.gz seems to be in the
>> >>    anatomical space (not in native PET) at the resolution of
>> >>    gtmseg.mgz. How then map rbv.nii.gz to the anatomical space when
>> >>    mapping the volume to the surface ?
>> >>    Where does it say this? It should be in the anatomical space in the
>> >>    sense that it shares an RAS space with the conformed volume (aseg
>> >>    does
>> >>    gtmseg.mgz). This means that you can use --regheader with
>> >>    mri_vol2surf
>> >>    or mri_vol2vol when mapping into another space.
>> >>
>> >>
>> >>  In https://surfer.nmr.mgh.harvard.edu/fswiki/PetSurfer it says that
>> >> "mgx.ctxgm is in same resolution of the input PET", which is the case
>> >> since resolution and orientation are identical to native PET. The
>> >> PETsurfer tutorial then explains that "bbpet2anat.lta. is a
>> >> registration file that can be used to map the output PET volume (in
>> >> the mask bounding box) to the anatomical space".
>> >>
>> >> However, when I open rbv.nii file it is not in native PET resolution
>> >> and orientation but those of gtmseg.mgz (anatomical space but with
>> >> resolution of 0.5x0.5x05 mm). Why these differences between these two
>> >> methods of PVC and which registration file then to use when mapping
>> >> rbv.nii to the surface (rbv2anat.lta ?) ? I think I can't use directly
>> >> --regheader since resolution of rbv.nii is 0.5 mm3 whereas anatomical
>> >> space is of 1 mm3.
>> > Yes, the rbv is in a higher resolution because the rbv does not have
>> > separate maps for each tissue type, so you need smaller voxels to avoid
>> > re-introducing PVEs.
>>
>> Ok. Which file should I use then to map rbv.nii to anatomical space:
>> bbpet2anat.lta ?
>>
>> Would you have the article from which RBV correction is based on ?
>>
>> >>
>> >>>
>> >>> 3) What are the advantages/inconveniences of RBV vs GMX ?
>> >>    Not entirely sure. RBV may be more precise since it at least has the
>> >>    ability to correct for the PVE across the bank of a sulcus, but
>> >>    the two
>> >>    banks have to be in different ROIs. The bad news is that the RBV
>> >>    correction depends on the ROIs that you use.
>> >>
>> >>
>> >> MGX doesn't correct PVE across the bank of a sulcus ?
>> > Correct.
>>
>> Is it a big problem to deal with when using MGX correction ?
>>
>> >>
>> >> By saying that "RBV correction depends on the ROIs that you use", do
>> >> you mean the parcellation (aparc or aparc.a2009s) you give to the
>> >> gtmseg command ? If this is the case is there a better compromise ?
>> > It depends on the aparc (and aseg). There is not a better compromise.
>>
>> If not a better compromise, would there be some cases when aparc.a2009 is
>> better to use ?
>>
>> >>
>> >>>
>> >>> 4) Would it be beneficial to upsample native PET to the
>> >>    anatomical resolution before launching gtmpvc in order to preserve
>> >>    the high resolution of the anatomical tissues during partial
>> >>    volume correction ?
>> >>    No, this is all taken care of in mri_gtmpvc.
>> >>
>> >>>
>> >>> Could you have a look at and give me back your opinion on these
>> >>    questions ? I could send the associated files if needed.
>> >>>
>> >>> Thank you.
>> >>>
>> >>> Best, Matthieu
>> >>>
>> >>> _______________________________________________
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