Hi Alan,

Typically subfields segmentation requires hi-resolution data (e.g. 0.4 x
0.4 mm in-plane resolution). The thickness of a CA subfield typically range
between 0.5-1.00 mm, but 1.5 T data does not achieve sub-millimeter
resolutions. Further, subfield segmentation typically requires
high-contrast data to discern the internal boundaries formed by the stratum
radiatum/stratum lacunosum-moleculare (SLRM). I doubt that images produced
on a 1.5 T magnet can achieve the necessary contrast. Last, and please
someone correct me if what I say is inaccurate, but doesn't the Van Leemput
method use statistical priors to apply label probabilities in reference to
a generated hippocampal surface? This would imply that the method assigns
label probabilities without reference to a subject's SLRM intensity
information. For volumetry, I am somewhat skeptical that a method that only
relies on a generated surface  would be sensitive to group x subfield
interactions; especially double dissociations in which overall volume/shape
of the hippocampus may be similar across groups. That the that was
generated from potentially low resolution, low contrast data cannot help
the matter. Some may disagree about this though and I'd be interested in
hearing what other people think about the matter. In general, I am quite
optimistic about automated methods to segment the subfields.

Joshua



-
Joshua K. Lee
Doctoral Candidate
Department of Psychology &
Center for Mind and Brain
University of California, Davis



On Thu, Apr 24, 2014 at 12:24 PM, Alan Francis <alandarkene...@gmail.com>wrote:

> Hi Bruce and FreeSurfers:
>
> I have received a manuscript to review for possible publication. The
> authors have used the subfields algorithm on 1.5T scans and obtained a
> parcellation with values. They have drawn some major conclusions on the
> basis of the findings. My understanding is that this method can only be
> done on 3T. Is the 1.5T results valid?
>
> Please advice.
>
> thanks,
>
> Alan Francis
>
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