Definition: Moore-Penrose Pseudoinverse, or simply the Moore-Penrose inverse, is a mathematical operation that produces an inverse of a matrix that may not have a conventional inverse. For a square matrix A, the inverse
![Rendered by QuickLaTeX.com A^{-1}](http://latamnirs.org/wp-content/ql-cache/quicklatex.com-e2b32875906f7ed9c10ffd1b09a6ed5e_l3.png)
exists if and only if the determinant of A is non-zero. However, many matrices encountered in practice are not invertible. The pseudoinverse is a generalization of the inverse that can be used for any matrix, regardless of its invertibility (not a square or a full rank matrix).In image reconstruction, to recover the optical properties of the voxels, the computation of the Moore-Penrose Pseudoinverse
![Rendered by QuickLaTeX.com A^+](http://latamnirs.org/wp-content/ql-cache/quicklatex.com-0ce77a243a239b5d7cf467e47d9b378a_l3.png)
is required.Since fNIRS measurements contain different types of noise,
![Rendered by QuickLaTeX.com A^+](http://latamnirs.org/wp-content/ql-cache/quicklatex.com-0ce77a243a239b5d7cf467e47d9b378a_l3.png)
is formulated including Tikhonov regularization to aid in smoothing the noise, as follows: ,
![Rendered by QuickLaTeX.com A^+ = A^T (AA^T + alpha mathbb{1})^{-1}](http://latamnirs.org/wp-content/ql-cache/quicklatex.com-a4200bbfbcfa06ceeabd08531a7ccfa9_l3.png)
where
![Rendered by QuickLaTeX.com alpha](http://latamnirs.org/wp-content/ql-cache/quicklatex.com-f00b0d8b37b4f4cb488a208e8ed0db7e_l3.png)
is the regularization parameter and
![Rendered by QuickLaTeX.com mathbb{1}](http://latamnirs.org/wp-content/ql-cache/quicklatex.com-e7668b47d2ee400f7aeaf5e57fffaeb1_l3.png)
is the identity matrix.
It should be noted that Moore-Penrose’s is not the only pseudo inverse.
Alternative definition:
Synonym:
References: https://doi.org/10.1017/S0305004100030401
https://doi.org/10.1063/5.0015512
https://doi.org/10.1117%2F1.JBO.26.5.056001
Related terms: Image reconstruction