pre_nii

This function transforms a NIfTI-class object into a matrix.

Gibbs sampling for Bayesian spatial blind source separation (BSP-BSS). BSP-BSS is designed for spatially dependent signals in high dimensional and large-scale data, such as neuroimaging. The method assumes the expectation of the observed images as a linear mixture of multiple sparse and piece-wise smooth latent source signals, and constructs a Bayesian nonparametric prior by thresholding Gaussian processes. Details can be found in our paper: Wu, B., Guo, Y., & Kang, J. (2024). Bayesian spatial blind source separation via the thresholded gaussian process. Journal of the American Statistical Association, 119(545), 422-433.

Ben Wu

BSPBSS

Bayesian Spatial Blind Source Separation

Ying Guo

Jian Kang

pre_nii function

<dl><dt>nii</dt>
<dd>4D NIfTI-class object with dimensions x,y,z and t. Can be read from NIfTI file with <code>readNIfTI</code> function from the package <code>oro.nifti</code>.</dd>
<dt>mask</dt>
<dd>Mask variable, also in NIfTI format.</dd></dl>

Arguments

Transforms NIfTI to matrix — pre_nii

<dl>

<dt>nii</dt>
<dd>4D NIfTI-class object with dimensions x,y,z and t. Can be read from NIfTI file with <code>readNIfTI</code> function from the package <code>oro.nifti</code>.</dd>


<dt>mask</dt>
<dd>Mask variable, also in NIfTI format.</dd>

</dl>

pre_nii: Transforms NIfTI to matrix

Description

Usage

Value

Arguments