Hello,
I am trying to do a cortical volume quantification using Sienax on t1 images. When I run it I get
the output called t1_periph_render. This one shows that there are some small areas in the
fusiform gyrus, and the orbito-frontal cortex. I tried to increase the number of iteration with
the S option (to 15) in Sienax to improve this but this did not work. However, if I run FAST on
the t1 image with the "use a priori probability maps for initialising" I get a better peripheral
gray matter mask in t1_brain_seg1 image with no omissions, but this one includes the sub-cortical
structures and the cerebellum, which I want to exclude.
Can I improve Sienax segmentation in anyway? Please advise.
thanks a lot,
Paul
Paul Geha M.D.
Northwestern University
The Feinberg School of Medicine
Department of Physiology M211
303 E. Chicago Ave.
Chicago, IL 60611
Tel:312-503 2886
Fax: 312-503-5101
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