ICBM 152 template

Nilearn MNI template

The Nilearn template is asymmetrical ICBM152 2009, release a.

The default template of fMRIPrep is the asymmetrical ICBM152 2009, release c (MNI152NLin2009cSAsym).

If you wish to use the exact same release as fMRIPrep, please refer to TemplateFlow.

Access

See nilearn.datasets.fetch_icbm152_2009, nilearn.datasets.fetch_icbm152_brain_gm_mask, nilearn.datasets.load_mni152_template to load MNI152 T1 template.

See nilearn.datasets.load_mni152_gm_template to load MNI152 gray matter template.

See nilearn.datasets.load_mni152_wm_template to load MNI152 white matter template.

See nilearn.datasets.load_mni152_brain_mask to load MNI152 whole brain mask.

See nilearn.datasets.load_mni152_gm_mask to load MNI152 gray matter mask.

See nilearn.datasets.load_mni152_wm_mask: to load MNI152 white matter mask.

Content

‘csf’:

probabilistic map for cerebrospinal fluid

‘gm’:

probabilistic map for gray matter

‘wm’:

probabilistic map for white matter

‘pd’:

proton density-weighted anatomical templates (non-linear average)

‘t1’:

T1-weighted anatomical template (non-linear average)

‘t2’:

T2-weighted anatomical template (non-linear average)

‘t2_relax’:

T2-weighted/relaxed anatomical template

‘eye_mask’:

average mask for eyes

‘face_mask’:

average mask for face

‘mask’:

average mask for brain

See Also

For more information see: http://www.bic.mni.mcgill.ca/ServicesAtlases/ICBM152NLin2009

Notes

References atlases intended for spatial normalization, registration, and segmentation of MRI data. These atlases were generated from large ensembles of MRI data in an unbiased fashion. MRI data from templates are derived from “a truly normal, well characterized population.”

The original download URL is https://www.bic.mni.mcgill.ca/~vfonov/icbm/2009/mni_icbm152_nlin_sym_09a_nifti.zip

TemplateFlow repository for ICBM152 2009:

• Symmetric: https://github.com/templateflow/tpl-MNI152NLin2009cSym

• Asymmetric: https://github.com/templateflow/tpl-MNI152NLin2009cAsym

See Collins et al.[1], Fonov et al.[2] and Fonov et al.[3].

References

[1]

D. Louis Collins, Alex P. Zijdenbos, Wim F. C. Baaré, and Alan C. Evans. Animal+insect: improved cortical structure segmentation. In Attila Kuba, Martin Šáamal, and Andrew Todd-Pokropek, editors, Information Processing in Medical Imaging, 210–223. Berlin, Heidelberg, 1999. Springer Berlin Heidelberg.

[2]

VS Fonov, AC Evans, RC McKinstry, CR Almli, and DL Collins. Unbiased nonlinear average age-appropriate brain templates from birth to adulthood. NeuroImage, 47(Supplement 1):S102, 2009. doi:10.1016/S1053-8119(09)70884-5.

[3]

Vladimir Fonov, Alan C. Evans, Kelly Botteron, C. Robert Almli, Robert C. McKinstry, and D. Louis Collins. Unbiased average age-appropriate atlases for pediatric studies. NeuroImage, 54(1):313–327, 2011. doi:10.1016/j.neuroimage.2010.07.033.

License

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