Magnetic resonance imaging of chemical species with a spectral model

Patent metadata

Field	Value
Publication number	US-9753109-B2
Application number	US-201113577266-A
Country	US
Kind code	B2
Filing date	Feb 16, 2011
Priority date	Feb 22, 2010
Publication date	Sep 5, 2017
Grant date	Sep 5, 2017

Abstract

At least two chemical species are imaged using magnetic resonance imaging with signal separation for two chemical species resulting in separate signal datasets for these two chemical species. First and second echo data are acquired at different echo times resulting in a first and second acquired complex dataset. The first and second acquired datasets are modelled by employing a spectral signal model of at least one of the chemical species. The modelling results in a first and second modelled complex dataset. The first and second modelled datasets include a first and second phase error and the separate signal datasets for the two chemical species. From the first and second acquired dataset and the first and second modelled dataset the separate signal datasets for the two chemical species are determined.

First claim

The invention claimed is:

1. A method of imaging at least two chemical species using magnetic resonance imaging with signal separation for two chemical species resulting in separate signal datasets for these two chemical species, the method comprising:
acquiring first and second echo data at two different echo times using a two-point method resulting in a first and second acquired complex datasets,
modelling the first and second acquired complex datasets by multi-peak model of at least one of the chemical species said modelling resulting in a first and second modelled complex dataset, said first and second modelled complex datasets comprising a first and second phasor and separate signal complex datasets for the two chemical species, the modelling of the first and second complex datasets employing a linear combination of the separate signal complex datasets for the two chemical species, multiplied by the first and second phasor, weights for the linear combination being derived from the spectral signal model of at least one of the chemical species;
determining the magnitude of the first and second acquired complex datasets and retrieving an initial estimate of the separate signal datasets for the two chemical species based on the first and second modelled complex datasets,
deriving from the first and second acquired complex datasets and the initial estimate of the separate signal datasets for the two chemical species at least one solution for the first and second phasors based on the first and second modelled complex datasets,
determining from the first and second acquired complex datasets and one solution for the first and second phasors a final estimate of the separate signal complex datasets for the two chemical species by minimizing a residuum between the first and second acquired complex datasets and the first and second modelled complex datasets,
reconstructing at least one of the first and second species datasets into an image, and,
displaying at least one of the images on a display device.

2. The method of claim 1 , wherein the initial estimation of the separate signal complex datasets for the two chemical species comprises solving a system of two quadratic equations formed by a magnitude of the first and second acquired and modelled complex datasets.

3. The method of claim 2 , wherein the system of two quadratic equations is analytically solved by deriving a biquadratic equation.

4. The method of claim 1 , wherein the determination of the first and second phasors results in a true and a false solution, wherein the method further comprises determining the true solution based on a spatial smoothness assumption of main field inhomogeneities.

5. The method of claim 4 , wherein determining the true solution is performed with a regional iterative phasor extraction process.

6. The method of claim 1 , wherein the two chemical species are water and fat and the spectral signal model is a multi-peak spectral model of fat.

7. The method of claim 1 , wherein the determination of the final estimate of the separate signal complex datasets for the two chemical species involves solving a system of two complex equations for two complex separate signals for the two chemical species.

8. A non-transitory computer-readable medium carrying computer executable instructions to control a computer to perform the method as claimed in claim 1 .

9. A magnetic resonance imaging apparatus for imaging at least first and second chemical species, the apparatus comprising a magnetic resonance imaging scanner for acquiring magnetic resonance image data, the scanner being operable for:
acquiring first and second echo data at two different echo times employing a two-point DIXON acquisition resulting in a first acquired complex dataset and a second acquired complex dataset,
modelling the first acquired complex dataset and second acquired complex dataset by employing a spectral signal model of at least one of the chemical species, said modelling resulting in a first modelled complex dataset and a second modelled complex dataset, said first modelled complex dataset and the second modelled complex dataset having a first phasor and a second phasor and separate signal datasets for the first and second chemical species, the modelling of the first acquired complex data set and the second acquired complex dataset employing a linear combination of the separate first and second acquired complex datasets for the two chemical species multiplied by the first phasor and the second phasor, respectively, weights for the linear combination being derived from the spectral signal model of at least one of the first and second chemical species;
determining the magnitude of the first and second acquired complex datasets and retrieving an initial estimate of the separate first and second acquired complex datasets for the two chemical species based on the first and second modelled complex datasets;
deriving from the first and second acquired complex datasets and the initial estimate of the first and second complex datasets for the two chemical species at least one solution for the first and second phasors based on the first and second modelled complex datasets;
determining from the first and second acquired complex datasets and one solution for the first and second phasors a final estimate of separate first and second signal complex datasets for the two chemical species;
reconstructing at least one of the separate first and second complex datasets into an image, and
displaying at least one of the images on a display device.

10. The method of claim 1 , wherein the first and second acquired complex datasets are k-space datasets, the first and second modelled complex datasets are first and second complex modelled k-space datasets and, the separate complex signal datasets include a first species k-space dataset and a second species k-space dataset, and further including:
reconstructing at least one of the first and second species k-space datasets into at least one of a first species image and a second species image; and
displaying at least one of the first species image and the second species on a display device.

11. The magnetic resonance imaging apparatus of claim 9 , wherein the first and second acquired complex datasets are first and second acquired complex k-space datasets, the first and second modelled complex datasets are first and second modelled k-space complex datasets and, the separate signal complex datasets include a first species k-space dataset and a second species k-space dataset, and wherein the scanner is further operative for:
reconstructing at least one of the first and second k-space datasets into an image.

12. The magnetic resonance imaging apparatus of claim 9 , wherein the two chemical species are water and fat, and the spectral model is a multi-peak spectral model of fat.

13. The method of claim 1 , wherein the first and second acquired complex datasets are images reconstructed from the first and second echo data, respectively, the first and second modelled complex datasets are image datasets, and wherein the separate signal complex datasets include two images, each limited to one of the chemical species, and further including:
displaying at least one of the images on a display device.

14. The magnetic resonance imaging apparatus of claim 9 , wherein the first and second acquired complex datasets are images reconstructed from the first and second echo data, respectively, and wherein the first and second modelled complex datasets are image datasets, and wherein the separate signal complex datasets include two images, each limited to one of the chemical species, a

Assignees

• Eggers Holger
• Koninklijke Philips Nv

Inventors

• Eggers Holger

Classifications

• G01R33/5615

  Echo train techniques involving acquiring plural, differently encoded, echo signals after one RF excitation, e.g. using gradient refocusing in echo planar imaging [EPI], RF refocusing in rapid acquisition with relaxation enhancement [RARE] or using both RF and gradient refocusing in gradient and spin echo imaging [GRASE] · CPC title

• G01N24/08

  by using nuclear magnetic resonance (G01N24/12 takes precedence) · CPC title

• G01N24/088

  Assessment or manipulation of a chemical or biochemical reaction, e.g. verification whether a chemical reaction occurred or whether a ligand binds to a receptor in drug screening or assessing reaction kinetics · CPC title

• G01R33/4828 Primary

  Resolving the MR signals of different chemical species, e.g. water-fat imaging · CPC title