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Hi Bruce,

I sent all the material to Leah. You are right about the normalization being a control point finding tool. But in the temporal cortex or inferior frontal where the WM is really thin or there is movement corruption this can cause the wm voxels to be too dark after normalization. The aseg tends to be correct however, so the control points basically go into locations where the aseg is WM but the surfaces segment as GM. I'll put the github location so anyone can evaluate it

https://github.com/DevelopmentalImagingMCRI/freesurfer_cp_tool From: freesurfer-bounces@nmr.mgh.harvard.edu freesurfer-bounces@nmr.mgh.harvard.edu On Behalf Of Bruce Fischl Sent: Saturday, 30 June 2018 12:21 AM To: Freesurfer support list freesurfer@nmr.mgh.harvard.edu Subject: Re: [Freesurfer] Proposed addition for Freesurfer - automated control points

Hi Chris

can you elaborate a bit? Our intensity normalization is almost entirely an automated control point finding tool.

cheers Bruce

On Fri, 29 Jun 2018, Chris Adamson wrote:

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Freesurfer devs,

I presented an automated control point adding tool at HBM and a few freesurfer lab people came over and had a look. I was wondering if someone would like to review it for either inclusion or to perhaps reference from the wiki as a tool for people to use if they choose?

Thanks in advance,

Chris.

Dr Chris Adamson

Senior Research Officer

Developmental Imaging, Clinical Sciences

Murdoch Childrens Research Institute

The Royal Children's Hospital

Flemington Road, Parkville, VIC 3052 Australia

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