System and method for magnetic resonance fingerprinting
US-2017003365-A1 · Jan 5, 2017 · US
US10859651B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10859651-B2 |
| Application number | US-201815945714-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 4, 2018 |
| Priority date | Apr 7, 2017 |
| Publication date | Dec 8, 2020 |
| Grant date | Dec 8, 2020 |
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A system and method for performing magnetic resonance fingerprinting (MRF) is provided that includes performing a pulse sequence that is sensitive to field inhomogeneities to acquire a series of signal evolutions form a region of interest (ROI) of the subject to form MRF data. The method also includes varying field inhomogeneities across the ROI to acquire the series of signal evolutions, comparing the MRF data with an MRF dictionary to determine at least one tissue property of the subject in the ROI, and producing at least one map of the at least one tissue property.
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The invention claimed is: 1. A method for performing magnetic resonance fingerprinting (MRF) comprising: performing a pulse sequence that induces null bands in the presence in field inhomogeneities, wherein the pulse sequence includes at least one of variable separation of excitation pulses or a varying repetition time (TR), to move the null bands around a region of interest (ROI) of the subject and acquire signal evolutions from the ROI in the presence of varying field inhomogeneities to form MRF data; comparing the MRF data with an MRF dictionary to determine at least one tissue property of the subject in the ROI; and producing at least one map of the at least one tissue property. 2. The method of claim 1 wherein comparing includes separating the signal evolutions from each voxel based on respective spatial incoherence at each voxel caused by the field inhomogeneity. 3. The method of claim 1 wherein comparing the MRF data with the MRF dictionary includes comparing the signal evolutions with known signal evolutions correlated with known tissue properties to identify the at least one tissue property. 4. The method of claim 1 wherein the pulse sequence includes a balanced steady state free precession (bSSFP) pulse sequence. 5. The method of claim 1 wherein varying the field inhomogeneities across the ROI includes applying a magnetic field gradient across the ROI. 6. The method of claim 5 wherein the magnetic field gradient includes a linear gradient. 7. The method of claim 1 wherein varying the field inhomogeneities across the ROI includes varying a repetition time (TR) between excitation pulses of the pulse sequence and a magnetic field gradient applied during the TR. 8. The method of claim 1 further comprising varying a number of readouts during each repetition time (TR) of the pulse sequence to acquire the signal evolutions. 9. The method of claim 1 wherein the at least one tissue property includes longitudinal relaxation time (T 1 ), transverse relaxation time (T 2 ), main or static magnetic field map (B 0 ), or proton density (ρ). 10. A system comprising: a magnet system configured to generate a polarizing magnetic field about at least a portion of a subject; 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 magnetic gradient system and the RF system to perform a pulse sequence that sweeps field inhomogeneities across a region of interest (ROI) of the subject by increasingly separating excitation pulses by increasing repetition times (TRs); forming MRF data by acquiring signal evolutions from the ROI in the presence of sweeping field inhomogeneities caused at least in part by increasingly separating the excitation pulses by the increasing TRs of the pulse sequence; compare the MRF data with an MRF dictionary to determine at least one tissue property of the subject in the ROI; and produce at least one map of the at least one tissue property. 11. The system of claim 10 wherein the computer system is further programmed to separate the signal evolutions from each voxel in the ROI based on respective spatial incoherence at each voxel caused by the field inhomogeneity. 12. The system of claim 10 wherein the computer system is further programmed to compare the signal evolutions with known signal evolutions correlated with known tissue properties to identify the at least one tissue property. 13. The system of claim 10 wherein the pulse sequence includes a balanced steady state free precession (bSSFP) pulse sequence. 14. The system of claim 10 wherein varying the field inhomogeneities across the ROI includes applying a magnetic field gradient across the ROI. 15. The system of claim 14 wherein the magnetic field gradient includes a linear gradient. 16. The system of claim 10 wherein the computer system is further programmed to vary a magnetic field gradient applied during the TRs to vary the field inhomogeneities across the ROI. 17. The system of claim 10 wherein the computer system is further programmed to vary a number of readouts during each repetition time (TR) of the pulse sequence to acquire the signal evolutions. 18. The system of claim 10 wherein the at least one tissue property includes longitudinal relaxation time (T 1 ), transverse relaxation time (T 2 ), main or static magnetic field map (B 0 ), or proton density (ρ). 19. The system of claim 10 further comprising a display to display the at least one map of the at least one tissue property.
using correction coil assemblies, e.g. active shimming · CPC title
using a fully balanced steady-state free precession [bSSFP] pulse sequence, e.g. trueFISP · CPC title
Resolving the MR signals of different chemical species, e.g. water-fat imaging · CPC title
using gradient magnetic field coils · CPC title
by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences · CPC title
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