Hi Anya,
have you seen the Crinion paper in NeuroImage, 2007? They showed that
unified segmentation, if tweaked, deals not too bad with lesioned brains
(although cost function masking may still be a good idea with larger
lesions, see Andersen, NeuroImage 2010). Not sure I understand your
procedure correctly, but I think the idea behind cost function masking
is to rather draw a region of interest on the individual patient's MRI
and use that during spatial normalization. This can be accomplished
using, e.g., MRIcron. For more homogeneous lesions, this can also be
automated, as described in Wilke, HBM 2009.
Hope this helps,
Marko
Anya Chakraborty wrote:
> Dear SPMers,
>
> I am performing pre-processing of functional MRI data obtained from
> frontal tumor patients. I am using the WFU pickatlas to create a masked
> image on a normal template from coordinates obtained from MRICro, then
> using it in the source weighted image option in the normalization step.
> is this the right way to go or is there a way to create mask on the
> patient's own structural using the same toolbox. in that case what are
> the details of the steps for cost functional masking,
>
> please any help will be greatly appreciated
>
> Anya C
>
> National Brain Research Centre
> India
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Marko Wilke (Dr.med./M.D.)
[log in to unmask]
Universitäts-Kinderklinik University Children's Hospital
Abt. III (Neuropädiatrie) Dept. III (Pediatric neurology)
Hoppe-Seyler-Str. 1, D - 72076 Tübingen
Tel.: (+49) 07071 29-83416 Fax: (+49) 07071 29-5473
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