Is that the one used to measure distances? If you have it, it's probably 
not a bad idea. If all your scanners have the same metric, then that's 
good, though it is not clear what you do post hoc with the information 
if they don't.
doug

On 09/13/2012 10:57 AM, Heath Pardoe wrote:
> Thanks Doug and Bruce
>
> Does anyone have an opinion regarding the necessity of scanning the 
> ADNI phantom?
>
> Best wishes
> Heath
>
> On Wed, Sep 12, 2012 at 1:03 PM, Douglas N Greve 
> <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>> wrote:
>
>     If you include scanner as an interaction nuisance variable and balance
>     your design so that there are an equal number of controls and patients
>     for each scanner, you're probably ok. A design where you have all the
>     controls from one scanner and all the patients from another is
>     probably
>     a bad idea.
>     doug
>
>     On 09/12/2012 08:43 AM, Bruce Fischl wrote:
>     > Hi Heath
>     >
>     > yes, I think it's a bad idea for thickness just as it would be for
>     > VBM. ADNI is a bit of a special case as they went to great
>     lengths to
>     > make their acquisitions uniform across scanner platform, but I would
>     > still look to see if there is a significant scanner effect in
>     > analyzing that data.
>     >
>     > cheers
>     > Bruce
>     >
>     >
>     >
>     > On Tue, 11 Sep 2012, Heath Pardoe wrote:
>     >
>     >> Hi all,
>     >> I was wondering if there was a consensus view on the optimal way to
>     >> approach morphometric analysis (cortical thickness,
>     >> volumetry & associated analyses) of MRI data acquired on multiple
>     >> scanners.
>     >>
>     >> From VBM literature & our own experience it appears that comparing
>     >> MRI scans of patients from one scanner with controls scanned
>     >> on another is a bad idea, because there are systematic differences
>     >> that will manifest as very significant GM
>     >> volume/concentration/density differences following statistical
>     >> analysis when these differences are unlikely to really exist ie.
>     >> we get a lot of false positives.
>     >>
>     >> Definitive findings on similar analyses using cortical thickness
>     >> mapping seem harder to come by. There's the Han study from 2006
>     >> and Dickerson 2008 but both of these seem to be empirical
>     analyses of
>     >> mean absolute error or related measures rather than
>     >> pitting scanner 1 subjects against scanner 2 subjects in a
>     >> statistical analysis (please correct me if I haven't looked hard
>     >> enough). Wonderlick et al 2009 is closer in terms of statistical
>     >> analysis but these were done on one scanner so don't really
>     >> address the multicenter issue.
>     >>
>     >> To my mind it seems likely that cortical thickness analysis would
>     >> have the same problem as VBM and would require controls to be
>     >> scanned on the same scanners as patients to account for
>     inter-scanner
>     >> variability. Does anyone have any opinions on this? Or,
>     >> even better, any data so we can tell how much of a problem this is?
>     >>
>     >> In a related question, the ADNI study uses a phantom to correct an
>     >> image for gradient nonlinearities in different scanners, and
>     >> then pools this corrected data from multiple scanners into each
>     >> control or patient group, and subsequent morphometric analyses
>     >> are done without worrying about the multi-site issue. Does anyone
>     >> have an opinion on the validity of this approach?
>     >>
>     >> I guess one way to investigate it would be to look at vertex-wise
>     >> across-subject variance in coregistered cortical thickness
>     >> maps both with and without the phantom-based correction
>     procedure; if
>     >> the variance was lower in the phantom-corrected variance
>     >> map this would provide good evidence that it's worth the effort of
>     >> undertaking this procedure. I would be keen to do this
>     >> analysis but unless I'm mistaken the ADNI website only provides
>     >> images that have already been processed to correct for gradient
>     >> nonlinearities.
>     >>
>     >> An alternative approach that has been proposed is to scan a
>     group of
>     >> the same controls on multiple scanners to characterise
>     >> between-scanner differences. The practicality of this approach
>     breaks
>     >> down as the number of centers increases. Again I would be
>     >> interested to hear if anyone has experience in using this approach
>     >> compared to others.
>     >>
>     >> In summary, there seem to be three ways to overcome inter-scanner
>     >> variance:
>     >> 1. scan different controls at each site
>     >> 2. scan a phantom at each site (and probably scan controls too
>     anyway)
>     >> 3. scan the same group of controls at all sites
>     >>
>     >> I would be interested in hearing which approach people think is
>     best,
>     >> and why.
>     >>
>     >> Thanks if you're still reading!
>     >> Best wishes
>     >> Heath
>     >>
>     >>
>     >
>     >
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>     --
>     Douglas N. Greve, Ph.D.
>     MGH-NMR Center
>     gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>
>     Phone Number: 617-724-2358 <tel:617-724-2358>
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> -- 
> Heath R. Pardoe, PhD
> Florey Neuroscience Institutes
> Melbourne Brain Centre
> 245 Burgundy Street, Heidelberg 3084
> Australia
> Phone: (+61 3) 903 57053
> Email: h.par...@brain.org.au <mailto:h.par...@brain.org.au>
>

-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358
Fax: 617-726-7422

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