Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
nilearn.datasets.load_mni152_template#
- nilearn.datasets.load_mni152_template(resolution=None)[source]#
Load the MNI152 skullstripped T1 template. This function takes the skullstripped, re-scaled 1mm-resolution version of the MNI ICBM152 T1 template and re-samples it using a different resolution, if specified.
For more information, see 1, and 2.
- Parameters
- resolution: int, optional, Default = 2
If resolution is different from 1, the template is re-sampled with the specified resolution.
New in version 0.8.1.
- Returns
- mni152_templateNifti1Image, image representing the re-sampled
whole-brain template
See also
nilearn.datasets.fetch_icbm152_2009
for details regarding the difference between NiLearn and fMRIPrep ICBM152 template.
nilearn.datasets.load_mni152_gm_template
for details about version of the MNI152 grey-matter template.
nilearn.datasets.load_mni152_wm_template
for details about version of the MNI152 white-matter template.
References
- 1
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. URL: https://www.sciencedirect.com/science/article/pii/S1053811910010062, doi:https://doi.org/10.1016/j.neuroimage.2010.07.033.
- 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.
Examples using nilearn.datasets.load_mni152_template
#
Resample an image to a template