Hi,
in my experience, this is a known issue in segmentation of very young
infants, and mainly due to the affine part of the segmentation/spatial
normalization - it is based on starting values from adults, and babies'
brains are just very different from these expectations. I have played
with this for a while and while you can try to set "none" for the affine
regularization, this may or may not help. I have been fiddling with an
alternative approach for some time which may help to address this but
this is still in the making. So much to do, never enough time...
Cheers
Marko
Am 09.05.2022 um 05:35 schrieb Di Yuan:
> Hello,
>
> I conducted VBM analysis using CAT12 on a group of infants and children aged from 6 months to 4 years old. I replaced the default TPM and Dartel template with the ones that are generated by Cerebromatic toolbox. Since the youngest template that can be generated by the toolbox is 13 months, I used the 13-month-old one.
>
> I found the segmentation problematic for most of my subjects. The peripheral area of gray matter was identified as white matter. Please check the following link to see one subject's white matter image in the native space.
>
> https://ibb.co/MNbh6Jg
> https://ibb.co/VL4Txfm
>
> This problem cannot be solved by adjusting the level of bias correction, denoising, or changing the approach of skull stripping...
>
> I wonder how to improve the segmentation for my situation? Thank you.
>
> Best,
> Di Yuan
--
____________________________________________________
Prof. Dr. med. Marko Wilke
Facharzt für Kinder- & Jugendmedizin, Neuropädiater
Leiter, Experimentelle Pädiatrische Neurobildgebung
Geschäftsführender Oberarzt der Abt. Neuropädiatrie
Universitäts-Kinderklinik
Marko Wilke, MD, PhD
Pediatrician and Pediatric Neurologist
Head, Experimental Pediatric Neuroimaging
Senior Consultant in Pediatric Neurology
University Children's Hospital
Hoppe-Seyler-Str. 1
D - 72076 Tübingen, Germany
Tel. +49 7071 29-83416
Fax +49 7071 29-5473
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http://www.medizin.uni-tuebingen.de/kinder/epn/
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