[FieldTrip] Processing T1 and T2 weighted MR images with Fieldtrip

[Schoffelen, J.M. (Jan Mathijs)]

Dear Paolo,

As you know, FieldTrip relies on external packages (e.g. freesurfer and spm) for structural image processing. I suggest you look there for examples of how to incorporate T2 images to improve skull segmentation. We are looking forward to a tutorial document that describes such pipeline for Fieldtrip users. This can be submitted as a Pull Request on the website github repository: https://github.com/fieldtrip/website.

Best wishes,
Jan-Mathijs



On 26 May 2019, at 17:49, Paolo Belardinelli <paolo.belardinelli at gmail.com<mailto:paolo.belardinelli at gmail.com>> wrote:

Hi Jan.
thank you for your answer.
We acquired both T1w and T2w images.
There is no way of taking advantage of both, in the making of the sourcemodel mesh along the fiieldtrip pipeline, right?

http://www.fieldtriptoolbox.org/tutorial/sourcemodel/

Best wishes,

Paolo



On Sun, May 26, 2019 at 5:35 PM Schoffelen, J.M. (Jan Mathijs) <jan.schoffelen at donders.ru.nl<mailto:jan.schoffelen at donders.ru.nl>> wrote:
Hi Paolo,

ft_read_mri is just a generic function that reads in volumetrically represented data that comes off an mri machine. It does not care about the acquisition parameters.

Best wishes,
Jan-Mathijs

On 26 May 2019, at 15:46, Paolo Belardinelli <paolo.belardinelli at gmail.com<mailto:paolo.belardinelli at gmail.com>> wrote:

Dear FieldTrippers,
is there a way to process simultaneously T1w and T2w MR images in Fieldtrip (in line with the mri2mesh function of SimNibs)? To my understanding this is currently not possible with ft_read_mri. Am I wrong?

Best,

Paolo Belardinelli


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--
Paolo Belardinelli, PhD
Neurology Department
University Hospital Tuebingen
Eberhard Karls University Tuebingen
Hoppe-Seyler Str. 3
D-72076 Tuebingen
Tel: +49 7071 / 29 80478

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--
--
Paolo Belardinelli, PhD
Neurology Department
University Hospital Tuebingen
Eberhard Karls University Tuebingen
Hoppe-Seyler Str. 3
D-72076 Tuebingen
Tel: +49 7071 / 29 80478

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