Moore-Penrose Pseudoinverse

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 A^{-1} 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 A^+ is required.Since fNIRS measurements contain different types of noise, A^+ is formulated including Tikhonov regularization to aid in smoothing the noise, as follows: , A^+ = A^T (AA^T + alpha mathbb{1})^{-1} where alpha is the regularization parameter and mathbb{1} is the identity matrix. It should be noted that Moore-Penrose’s is not the only pseudo inverse.

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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  

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