System and method for controlling partial volume effects in magnetic resonance fingerprinting

Patent metadata

Field	Value
Publication number	US-10209334-B2
Application number	US-201615074586-A
Country	US
Kind code	B2
Filing date	Mar 18, 2016
Priority date	Apr 8, 2015
Publication date	Feb 19, 2019
Grant date	Feb 19, 2019

Abstract

Systems and methods for estimating quantitative parameters of a subject from data acquired using a magnetic resonance imaging (MRI) system. The system includes a computer system configured to control the MRI system to acquire MR fingerprinting (MRF) data representing a plurality of different signal evolutions acquired using different acquisition parameter settings and reconstruct the MRF data into at least one image composed of a plurality of pixels or voxels formed of multiple compartments per pixel or voxel. The computer system is further configured to, on a compartment-by-compartment basis, compare a signal associated with each compartment to an initial dictionary comprising a plurality of signal templates that coarsely sample different acquisition parameters used to acquire the MRF data to determine quantitative parameters for each compartment. The computer system is further configured to generate a quantitative parameter map that indicates the quantitative parameters for each compartment.

First claim

The invention claimed is:

1. A magnetic resonance imaging (MRI) system, comprising:
a magnet system configured to generate a polarizing magnetic field about at least a portion of a subject arranged in the MRI system;
a magnetic gradient system including a plurality of magnetic gradient coils configured to apply at least one magnetic gradient field to the polarizing magnetic field;
a radio frequency (RF) system configured to apply an RF field to the subject and to receive magnetic resonance signals from the subject using a coil array;
a computer system programmed to:
control the gradient system and the RF system to acquire MR fingerprinting (MRF) data representing a plurality of different signal evolutions acquired using different acquisition parameter settings;
reconstruct the MRF data into at least one image composed of a plurality of pixels or voxels formed of multiple compartments per pixel or voxel;
on a compartment-by-compartment basis, compare a signal associated with each compartment to an initial dictionary comprising a plurality of signal templates that coarsely sample different acquisition parameters used to acquire the MRF data to determine quantitative parameters for each compartment; and
generate a quantitative parameter map that indicates the quantitative parameters for each compartment.

2. The system of claim 1 wherein the computer system is further configured to receive a desired pixel or voxel model that indicates a number of multiple compartments per pixel or voxel.

3. The system of claim 2 wherein the number of multiple compartments per pixel or voxel is at least 2.

4. The system of claim 1 wherein to compare the signal, the computer system is further configured to, for a given compartment of the number of multiple compartments per voxel:
(i) store the quantitative parameters associated with an entry in the initial dictionary as the estimated quantitative parameters when the comparison satisfies a threshold criterion; and
(ii) update the initial dictionary when the comparison does not satisfy the threshold criterion, and wherein the computer system is configured to repeat comparing the signal using the updated dictionary.

5. The system of claim 4 wherein to update the initial dictionary, the computer system is configured to perform a global optimization that searches a parameter space encompassing potential quantitative parameters, and added entries to the initial dictionary based on the global optimization.

6. The system of claim 5 wherein, to perform the global optimization, the computer syste Withdrawn m is further configured to identify a seed entry based on the comparison.

7. The system of claim 6 wherein the computer system is further configured to identify the seed entry as an entry in the initial dictionary that, when compared to the MRF data, yields a similarity value closest to the threshold criterion for a given compartment of the number of multiple compartments per pixel or voxel.

8. The system of claim 1 wherein the computer system is further configured to select from the different acquisition parameter settings to include at least one of an echo time, a repetition time, a flip angle, a radio frequency (RF) pulse phase, or a k-space sampling pattern.

9. The system of claim 1 wherein the quantitative parameters include at least one of a longitudinal relaxation time, a transverse relaxation time, a longitudinal magnetization, a field map, or a proton density.

10. A method for determining quantitative parameters of a subject using a magnetic resonance imaging (MRI) system, the steps of the method comprising:
(a) selecting a desired model that indicates a number of multiple compartments per pixel or voxel to be analyzed;
(b) providing MR data acquired with an MRI system, the acquired MR data representing a plurality of different signal evolutions acquired using different acquisition parameter settings;
(c) on a compartment-by-compartment basis, comparing each of the number of multiple compartments per pixel or voxel to an initial dictionary comprising a plurality of signal templates that coarsely sample acquisition parameters used when acquiring the provided MR data to determine quantitative parameters for each compartment per pixel or voxel; and
(d) generating a quantitative parameter map that indicates the quantitative parameters for each compartment per pixel or voxel.

11. The method of claim 10 wherein the number of multiple compartments per pixel or voxel is at least 2.

12. The method of claim 10 wherein step (c) of comparing includes, for a given compartment of the number of multiple compartments per pixel or voxel:
(i) storing the quantitative parameters associated with an entry in the initial dictionary as the estimated quantitative parameters when the comparison satisfies a threshold criterion; and
(ii) updating the initial dictionary when the comparison does not satisfy the threshold criterion, and wherein step (c) is repeated using the updated dictionary.

13. The method of claim 12 wherein updating the initial dictionary in step (c)(ii) includes performing a global optimization that searches a parameter space encompassing potential quantitative parameters, and added entries to the initial dictionary based on the global optimization.

14. The method of claim 13 wherein performing the global optimization includes identifying a seed entry based on the comparison performed in step (c).

15. The method of claim 14 wherein the seed entry is identified as an entry in the initial dictionary that when compared to the provided MR data yields a similarity value closest to the threshold criterion for a given compartment of the number of multiple compartments per pixel or voxel.

16. The method of claim 10 wherein the different acquisition parameter settings includes at least one of an echo time, a repetition time, a flip angle, a radio frequency (RF) pulse phase, or a k-space sampling pattern.

17. The method of claim 10 wherein the quantitative parameters include at least one of a longitudinal relaxation time, a transverse relaxation time, a longitudinal magnetization, a field map, or a proton density.

18. A method for determining quantitative parameters of a subject using magnetic resonance fingerprinting (MRF) data, the steps of the method comprising:
(a) selecting a desired model that indicates a number of multiple compartments per pixel or voxel to be analyzed;
(b) providing MRF data acquired with an MRI system, the acquired MR data representing a plurality of different signal evolutions acquired using different acquisition parameter settings;
(c) on a compartment-by-compartment basis, comparing each of the number of multiple compartments per pixel or voxel to a dictionary comprising a plurality of acquisition parameters used when acquiring the MRF data to determine quantitative parameters for each compartment per pixel or voxel; and
(d) generating a quantitative parameter map that indicates the quantitative parameters for each compartment per pixel or voxel.

19. The method of claim 18 wherein initial dictionary comprises a plurality of signal templates that coarsely sample acquisition parameters used when acquiring the MRF data.

20. The method of claim 19 further comprising adjusting the dictionary and repeating step (c) with the dictionary after being adjusted.

21. The method of claim 18 wherein the quantitative parameter map provides a measure of vascular oxygenation in the subject.

Assignees

• Massachusetts Gen Hospital

Inventors

• Cohen Ouri

Classifications

• G01R33/54 Primary

  Signal processing systems, e.g. using pulse sequences {; Generation or control of pulse sequences; Operator console} · CPC title

• G01R33/50

  based on the determination of relaxation times {, e.g. T1 measurement by IR sequences; T2 measurement by multiple-echo sequences} · CPC title