Joint spectral quantification of MR spectroscopic imaging using linear tangent space alignment-based manifold learning.

ABSTRACT:

Purpose

To develop a manifold learning-based method that leverages the intrinsic low-dimensional structure of MR Spectroscopic Imaging (MRSI) signals for joint spectral quantification.

Methods

A linear tangent space alignment (LTSA) model was proposed to represent MRSI signals. In the proposed model, the signals of each metabolite were represented using a subspace model and the local coordinates of the subspaces were aligned to the global coordinates of the underlying low-dimensional manifold via linear transform. With the basis functions of the subspaces predetermined via quantum mechanics simulations, the global coordinates and the matrices for the local-to-global coordinate alignment were estimated by fitting the proposed LTSA model to noisy MRSI data with a spatial smoot

SUBMITTER: Ma C 

PROVIDER: S-EPMC9892363 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature