Daniel Brennan

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@ntustison thanks for this insight. It makes sense that the SST would reveal thicker values given the info you've shared. Do you suggest the same as @cookpa and basically run...

sorry, what was the issue that was resolved? Single-subject longitudinal processing? I am unable to find the issue on github currently

Got it. Strangely, it seems that the “cross Sectional ” data is perfectly fit, with the longi data being under estimated. Still not sure why that’s happening. Anyways, what is...

@cookpa , you're correct other than X-axis is @jeffduda's pipeline and an older version of ANTs (I believe antsLongitudinalCorticalThickness.sh), y-axis is my custom pipeline which was made to emulate antsLongitudinalCorticalThickness...

@cookpa that makes sense ![BrainMask](https://user-images.githubusercontent.com/39420777/116163180-487f4300-a6c5-11eb-8197-0109c4d1d064.png) here is the "warpedPrior" brain mask (in lighter gray), with the posterior brain mask underneath. As you say, it inflates the mask to fill that...

![snapshot0002](https://user-images.githubusercontent.com/39420777/116288125-2fc36b80-a75f-11eb-8063-9975a6e0a5f1.png) decent results using a 7th tissue prior edit: I had to subtract the 7th tissue prior from the GM tissue prior to achieve these results. the GM prior overwhelmed...

@cookpa it looks similar, in that it is estimating the entire gyrus as white matter

for example: ![t1](https://user-images.githubusercontent.com/39420777/107547395-64ca1400-6b9b-11eb-9220-23be9cdff6a2.png) ![t1_with_seg](https://user-images.githubusercontent.com/39420777/107547397-6562aa80-6b9b-11eb-90c7-809a8e15cddc.png) seems to be over-estimating white matter

@cookpa excellent suggestion, I will run and report results

should the prior weight be decreased or increased?