US 2022/0018922 A1 · Systems and Methods for Rapidly Determining One or More Metabolite Measurements from MR Spectroscopy Data

Abstract

Systems and methods provide a parallelized deep learning approach to spectral fitting for magnetic resonance spectroscopy data enabling accurate and rapid spectral fitting and determination of metabolite measurements using a conventional computer. The method may include processing multi-spectra magnetic resonance (MR) spectroscopy data of a region of interest through a series of neural networks. The method may include determining baseline components of each spectrum using a first neural network of the series, generating baseline-corrected components for each spectrum using the baseline components; and determining one or more peak components of each spectrum using a second neural network of the series and the baseline-corrected components. The method may further include determining one or more metabolite measurements of the one or more metabolites in the region of interest using the one or more peak components.

Claims20

Dependent claims

A method for determining a concentration of one or more metabolites within a region of interest comprising:

processing magnetic resonance (MR) spectroscopy data of a region of interest, the magnetic resonance spectroscopy data including a plurality of spectra and one or more metabolites through a series of neural networks, the processing including:
determining baseline components of each spectrum using a first neural network of the series, the baseline components defining a baseline model;
generating baseline-corrected components for each spectrum using the baseline components;
and
determining one or more peak components of each spectrum using a second neural network of the series and the baseline-corrected components;
and
determining one or more metabolite measurements of the one or more metabolites in the region of interest using the one or more peak components.

4 more elements

A system for determining a concentration of one or more metabolites within a region of interest comprising.

one or more processors;
and
one or more hardware storage devices having stored thereon computer-executable instructions which are executable by the one or more processors to cause the computing system to perform at least the following:
processing magnetic resonance (MR) spectroscopy data of a region of interest, the magnetic resonance spectroscopy data including a plurality of spectra and one or more metabolites through a series of neural networks, the processing including:
determining baseline components of each spectrum using a first neural network of the series, the baseline components defining a baseline model;
generating baseline-corrected components for each spectrum using the baseline components;
and
determining one or more peak components of each spectrum using a second neural network of the series and the baseline-corrected components;
and
determining one or more metabolite measurements of the one or more metabolites in the region of interest using the one or more peak components.

7 more elements

Dependencies are inferred from the claim text.

Systems and Methods for Rapidly Determining One or More Metabolite Measurements from MR Spectroscopy Data

Life of this patent

Systems and Methods for Rapidly Determining One or More Metabolite Measurements from MR Spectroscopy Data

Life of this patent

Abstract

Claims20