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.
Compute a brain mask from fMRI data in 3D or 4D ndarrays.
This is based on an heuristic proposed by T.Nichols: find the least dense point of the histogram, between fractions lower_cutoff and upper_cutoff of the total image histogram.
In case of failure, it is usually advisable to increase lower_cutoff.
Parameters:  epi_img: Niimglike object
lower_cutoff: float, optional
upper_cutoff: float, optional
connected: bool, optional
opening: bool or int, optional
ensure_finite: bool
exclude_zeros: bool, optional
target_affine: 3x3 or 4x4 matrix, optional
target_shape: 3tuple of integers, optional
memory: instance of joblib.Memory or string
verbose: int, optional


Returns:  mask: nibabel.Nifti1Image
