It might be a little more accurate, but my guess is that it will not 
make much of a difference.

On 1/30/19 2:01 PM, Matthieu Vanhoutte wrote:
>
>         External Email - Use Caution
>
> Dear Freesurfer’s experts,
>
> I have read the paper from Marcoux, et al. « An Automated Pipeline for 
> the Analysis of PET Data on the Cortical Surface ». /Frontiers in 
> Neuroinformatics/12 (10 décembre 2018). 
> https://doi.org/10.3389/fninf.2018.00094. In this paper, they propose 
> a robust PET signal projection based on weighting multiple PET 
> projections at different fractions of the cortical thickness. They 
> used « mris_expand" instead of "mri_vol2surf --projfrac" based on the 
> following comments:
>
> /"We mainly rely on the mris_expand function of FreeSurfer rather than 
> on vol2surf. The vol2surf function allows the user to project volume 
> data onto the cortical surface by sampling along the normal of the 
> white surface, by steps corresponding to fractions of the cortical 
> thickness. We observed that the main issue with this approach is its 
> lack of accuracy and robustness, as there is no constraint to ensure 
> that the last sample will be on the corresponding vertex of the pial 
> surface. Another solution proposed by FreeSurfer is to use the normal 
> fromthemid surface, starting on the side of the white surface and 
> going toward the pial surface, sampling by steps proportional to the 
> thickness. Here again we observed that, because of different folding 
> patterns, sampling points could be located outside the cortical 
> ribbon. Our approach, using deformable surfaces obtained with 
> mris_expand, ensures that the seven surfaces that are used to project 
> the signal follow the folding patterns and stay within the cortical 
> ribbon."/
> /
> /
> Is "mris_expand" more accurate and robust than "mri_vol2surf 
> --projfrac" according to you ?
>
> Best,
> Matthieu
>
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