IP Library Granted Patent US 10,061,005
Granted Patent B2
US 10,061,005 · App. 14/696,783 · Granted Aug 28, 2018

Apparatus and method for multi-band MR imaging

Inventors: Xiufeng Li (Shoreview, MN); Steen Moeller (St. Louis Park, MN); Gregory J. Metzger (Lake Elmo, MN); Kamil Ugurbil (Minneapolis, MN); Dingxin Wang (Apple Valley, MN); Vibhas S. Deshpande (Austin, TX)
Assignees: Siemens Healthcare GmbH; Regents of the University of Minnesota
G01R33/5611G01R33/4835G01R33/56366
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Quick Facts
Patent No.
US 10,061,005
App. No.
14/696,783
Granted
Aug 28, 2018
Kind
B2
Abstract

A magnetic resonance method and system are provided for providing improved multi-band (MB) magnetic resonance imaging. The adaptive MB imaging can be achieved by providing one or more modified multi-band excitation pulse sequences that include at least either one nullified “dummy” slice within a slab that is not excited simultaneously with the other slices during a single multislice acquisition sequence, or one excitation slice group that utilizes a non-uniform slice spacing between simultaneously excited slices. Adaptive GRAPPA or slice-GRAPPA kernel sizes can also be used during image reconstruction to improve speed without excessive point spread blurring or MB reconstruction failure. A total leakage factor (TLF) can also be determined based on test images using modified MB excitation sequences, and used to improve the adaptive MB procedure.

Claims (54)

1. An MR imaging system for generating a multi-band (MB) image of a region of interest, comprising:

a radio frequency (RF) signal generator and a magnetic field gradient generator which are together configured to provide a series of RF pulse and magnetic field gradient sequences for acquisition of MB image data, and

an image processing unit configured to generate the MB image of the region of interest based on the MB image data,

wherein the series of RF pulse and magnetic field gradient sequences comprises at least one adaptive acquisition parameter, wherein:

the series of RF pulse and magnetic field gradient sequences comprises at least one RF pulse and magnetic field gradient sequence configured to simultaneously excite a plurality of slices using a particular slice FOV shift factor; and

the adaptive acquisition parameter comprises a further slice FOV shift factor that is different from the particular slice FOV shift factor and is used to simultaneously excite at least one further slice.

2. The MR imaging system of claim 1 , wherein:

the series of RF pulse and magnetic field gradient sequences comprises at least one RF pulse and magnetic field gradient sequence configured to simultaneously excite N slices, wherein each slice is located within one of a plurality of N slice groups; and

the adaptive acquisition parameter comprises at least one further RF pulse and magnetic field gradient sequence configured to simultaneously excite fewer than N slices.

3. The MR imaging system of claim 1 , wherein:

the series of RF pulse and magnetic field gradient sequences comprises at least one RF pulse and magnetic field gradient sequence configured to simultaneously excite N slices having a particular spacing between the N slices; and

the adaptive acquisition parameter comprises at least one further RF pulse and magnetic field gradient sequence configured to simultaneously excite a plurality of slices having a further spacing between slices that is different from the particular spacing.

4. The MR imaging system of claim 1 , wherein:

the series of RF pulse and magnetic field gradient comprises at least one RF pulse and magnetic field gradient sequence configured to simultaneously excite N slices; and

the adaptive acquisition parameter comprises a non-uniform spacing between nearest ones of the N excited slices provided by the at least one RF pulse and magnetic field gradient sequence.

5. The MR imaging system of claim 1 , wherein:

the series of RF pulse and magnetic field gradient sequences comprises at least one RF pulse and magnetic field gradient sequence configured to simultaneously excite N slices having a particular spacing between the N slices; and

the adaptive acquisition parameter comprises at least one further RF pulse and magnetic field gradient sequence configured to simultaneously excite a plurality of slices having a further spacing between slices that is different from the particular spacing.

6. The MR imaging system of claim 1 , wherein:

the MB image data is generated as a time series acquisition using a particular set of MB imaging parameters, and

the adaptive acquisition parameter comprises a further set of MB imaging parameters that is different from the particular set of MB imaging parameters and is used to acquire a portion of the MB image data for at least one time point of the time series.

7. The system of claim 6 , wherein the particular set of MB imaging parameters comprises a particular FOV shift factor, and the further set of MB imaging parameters comprises a different FOV shift factor.

8. The system of claim 1 , wherein the imaging processing unit is configured to generate the MB image based on an adaptive reconstruction technique.

9. The system of claim 8 , wherein the adaptive reconstruction technique comprises using different kernel sizes for reconstruction of at least two different groups of slice image data.

10. The system of claim 8 , wherein:

the series of RF pulse and magnetic field gradient sequences comprises at least one RF pulse and magnetic field gradient sequence configured to simultaneously excite N slices, wherein each slice is located within one of a plurality of N slice groups;

the adaptive acquisition parameter comprises at least one further RF pulse and magnetic field gradient sequence configured to simultaneously excite fewer than N slices; and

the adaptive reconstruction technique comprises using a kernel that is determined based on the adaptive acquisition parameter.

11. The system of claim 8 , wherein the adaptive reconstruction technique comprises using a kernel that is trained based on separately-acquired fat and water information.

12. The system of claim 8 , wherein the adaptive reconstruction technique comprises using a kernel fitting function that minimizes total leakage factor and associated MB leakage effects for a leakage constrained slice-GRAPPA technique.

13. A method for generating a multi-band (MB) magnetic resonance image of a region of interest, comprising the steps of:

(a) providing a series of radio frequency (RF) pulse and magnetic field gradient sequences for acquisition of MB image data using a signal generator and a magnetic field gradient generator, wherein the series of RF pulse and magnetic field gradient sequences comprises an adaptive acquisition parameter;

(b) detecting the MB image data generated by the excited slices using a coil arrangement; and

(c) generating the MB magnetic resonance image based on the MB image data, wherein:

the series of RF pulse and magnetic field gradient sequences comprises at least one RF pulse and magnetic field gradient sequence configured to simultaneously excite a plurality of slices using a particular slice FOV shift factor; and

the adaptive acquisition parameter comprises a further slice FOV shift factor that is different from the particular slice FOV shift factor and is used to simultaneously excite at least one further slice.

14. The MR imaging method of claim 13 , wherein:

the series of RF pulse and magnetic field gradient sequences comprises at least one RF pulse and magnetic field gradient sequence configured to simultaneously excite N slices, wherein each slice is located within one of a plurality of N slice groups; and

the adaptive acquisition parameter comprises at least one further RF pulse and magnetic field gradient sequence configured to simultaneously excite fewer than N slices.

15. The MR imaging method of claim 13 , wherein:

the series of RF pulse and magnetic field gradient sequences comprises at least one RF pulse and magnetic field gradient sequence configured to simultaneously excite N slices having a particular spacing between the N slices; and

the adaptive acquisition parameter comprises at least one further RF pulse and magnetic field gradient sequence configured to simultaneously excite a plurality of slices having a further spacing between slices that is different from the particular spacing.

16. The MR imaging method of claim 13 , wherein:

the series of RF pulse and magnetic field gradient comprises at least one RF pulse and magnetic field gradient sequence configured to simultaneously excite N slices; and

the adaptive acquisition parameter comprises a non-uniform spacing between nearest ones of the N excited slices provided by the at least one RF pulse and magnetic field gradient sequence.

17. The MR imaging method of claim 13 , wherein:

the series of RF pulse and magnetic field gradient sequences comprises at least one RF pulse and magnetic field gradient sequence configured to simultaneously excite N slices having a particular spacing between the N slices; and

the adaptive acquisition parameter comprises at least one further RF pulse and magnetic field gradient sequence configured to simultaneously excite a plurality of slices having a further spacing between slices that is different from the particular spacing.

18. The MR imaging method of claim 13 , wherein generating the MB magnetic resonance image comprises generating the MB magnetic resonance image based on an adaptive reconstruction technique.

19. The MR imaging method of claim 18 , wherein the adaptive reconstruction technique comprises at least one of:

using different kernel sizes for reconstruction of at least two different groups of slice image data;

using a kernel that is determined based on the adaptive acquisition parameter;

using a kernel that is trained based on separately-acquired fat and water information; and

using a kernel fitting function that minimizes total leakage factor and associated MB leakage effects for a leakage constrained slice-GRAPPA technique.

Assignments (9)
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE PREVIOUSLY RECORDED AT REEL: 066088 FRAME: 0256. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jan 17, 2024
From: SIEMENS HEALTHCARE GMBH
To: SIEMENS HEALTHINEERS AG
Reel/Frame 071178/0246 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 20, 2023
From: SIEMENS HEALTHCARE GMBH
To: SIEMENS HEALTHINEERS AG
Reel/Frame 066088/0256 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 18, 2017
From: SIEMENS MEDICAL SOLUTIONS USA, INC.
To: SIEMENS HEALTHCARE GMBH
Reel/Frame 043332/0190 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 9, 2015
From: UGURBIL, KAMIL
To: REGENTS OF THE UNIVERSITY OF MINNESOTA
Reel/Frame 036991/0690 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 17, 2015
From: LI, XIUFENG
To: REGENTS OF THE UNIVERSITY OF MINNESOTA
Reel/Frame 036590/0962 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 17, 2015
From: METZGER, GREGORY
To: REGENTS OF THE UNIVERSITY OF MINNESOTA
Reel/Frame 036591/0027 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 17, 2015
From: MOELLER, STEEN
To: REGENTS OF THE UNIVERSITY OF MINNESOTA
Reel/Frame 036591/0079 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 14, 2015
From: WANG, DINGXIN; DESHPANDE, VIBHAS S.
To: SIEMENS MEDICAL SOLUTIONS USA, INC.
Reel/Frame 036081/0019 →
CONFIRMATORY LICENSE Recorded Jul 13, 2015
From: UNIVERSITY OF MINNESOTA
To: NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT
Reel/Frame 036099/0061 →
Continuity (2)
Provisional Application 61984145 · Apr 25, 2014
Related Publication 20150309142A1 · Oct 29, 2015