Hi All,
I'll start with the good:
thanks to Anders Dale (UCSD), Howard Pinsky (CorTechs) and Christian
Euseman (MGH), we have finally signed an open source agreement for
FreeSurfer. We will be posting a "read-only" tarball on the website in the
next couple of weeks, and anyone is free to down
Dear freesurfers,
We are trying to analyse data from patients who had an early stroke.
I did one automated parcellation (Fischl et al, 2004) in a patient with
a peri-ventricular enlargement associated with a large overall atrophy
of the injured hemisphere. I was pleased to find out that, even i
Dear Josse and all:
Before posing the parcellation problem with respect to patients with
cortical lesions, I was wondering to ask if anybody has a clue on how
the segmentation of the cortex/WM might work in patients with
juxtacortical/cortical lesions.
In other words: how the drop of the signal gi
Hi Goulven,
we've applied it to tons of Alzheimer's cases and other similar ones with
huge ventricles, and it's usually no problem. Particularly in the new (not
quite officially released) version in which ventricular size is normalized
out.
cheers,
Bruce
On Fri,
21 Oct 2005, Goulven Josse
Hi Francesca,
this is tough to answer as it depends on the exact location of the
cortical lesion, and the thickness of the underlying white matter. As you
know, we have done a fair number of MS subjects, so in general it's okay,
but I can certainly imagine scenarios in which things fail.
sor
Hi Francesca,
we haven't done a ton of stuff at 3T, and no MS that I'm aware of
(although there maybe people at MGH doing so that I don't know about).
Bruce
On Fri, 21 Oct 2005, Bagnato, Francesca (NIH/NINDS) wrote:
Thanks Bruce,
I was wondering if you have noted differences between 1.5 a
Thanks Bruce,
I was wondering if you have noted differences between 1.5 and 3T images
as far as it concerns this issue.
Indeed, the MS cortical lesions are definitely visible on a 3T
anatomical RMI but barely detectable in 1.5T SPGRs.
Thanks,
-francesca
Francesca Bagnato, MD
NIB-NINDS-NIH
10 C
