Hi Gabriel

can you give us details of your acquisition? Why is it so noisy?
Bruce


On Wed, 19 Jun 2013, Gabriel Obregon wrote:

> Hi Douglas,
> 
> The brainmask volumes are extremely grainy (similar to the raw structurals),
> i.e., dark voxels throughout the WM and high-intensity voxels across the
> gray matter. As far as I understood, all WM voxels (unless a lesion is
> present) should have a uniform intensity distribution after the
> normalization stages within the volume processing pipeline. Moreover, this
> makes the WM edits particularly challenging, for it's very difficult to
> trace the boundaries of some of the WM strands.
> 
> I don't know if this represents an issue but it's definitely something I
> hadn't encountered before. Any input would be really appreciated!
> 
> Thanks,
> 
> --G
> 
> On Jun 19, 2013, at 2:23 AM, Douglas Greve <[email protected]>
> wrote:
>
>       Hi Gabriel, I don't have experience with the MR-PET yet. Why do
>       you think there is a problem? Try running wm-anat-snr on this
>       subject. In general, you don't want to be smoothing/denoising
>       the anatomical
>       doug
> 
> 
> 
> 
>
>       On 6/18/13 1:13 PM, [email protected] wrote:
> 
> Hi,
> 
> I've started segmenting several structural scans from an MR-PET study
> conducted in Bay 7, and was wondering if someone has previous experience
> working with MPRAGE images acquired using the MR-PET coils?
> 
> The scans have a very low SNR and I am trying to figure out if this could
> potentially affect the performance of the automated surface
> reconstructions. I've scrolled through the volumes and even though the
> surfaces seem normal, I am somewhat skeptical about their true quality
> given that intermediate stages, such as the intensity normalization, seem
> to be failing (please find an example from one of the brain masks
> attached).
> 
> Is it essential to filter the raw structurals before segmenting them, and
> if so, are there any readily available denoising tools? Furthermore, are
> there any additional issues I should take into consideration?
> 
> Thanks for your help!
> 
> Gabriel
> 
> 
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> 
> 
>
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