IP Library Granted Patent US 11,662,412
Granted Patent B2
US 11,662,412 · App. 17/541,070 · Granted May 30, 2023

Noise suppression methods and apparatus

Inventors: Todd Rearick (Cheshire, CT); Gregory L. Charvat (Guilford, CT); Matthew Scot Rosen (Somerville, MA); Jonathan M. Rothberg (Miami Beach, FL)
Assignee: Hyperfine Operations, Inc.
G01R33/5608G01R33/28G01R33/34007G01R33/36G01R33/3614G01R33/38G01R33/381G01R33/3802G01R33/383G01R33/3804G01R33/385G01R33/3806G01R33/3852G01R33/3854G01R33/3856G01R33/3858G01R33/3875G01R33/445G01R33/48G01R33/543G01R33/546G01R33/56G01R33/56518G01R33/58H01F7/02H01F7/06G01R33/422
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Quick Facts
Patent No.
US 11,662,412
App. No.
17/541,070
Granted
May 30, 2023
Kind
B2
Abstract

According to some aspects, a method of suppressing noise in an environment of a magnetic resonance imaging system is provided. The method comprising estimating a transfer function based on multiple calibration measurements obtained from the environment by at least one primary coil and at least one auxiliary sensor, respectively, estimating noise present in a magnetic resonance signal received by the at least one primary coil based at least in part on the transfer function, and suppressing noise in the magnetic resonance signal using the noise estimate.

Claims (31)

1. A method of suppressing noise in an environment of a magnetic resonance imaging system, the method comprising:

receiving a magnetic resonance signal using a first primary coil;

receiving a noise signal using a first auxiliary sensor;

estimating noise present in the magnetic resonance signal by applying a transform to the noise signal received by the first auxiliary sensor to obtain a noise estimate, wherein the transform applied to the noise signal comprises a respective amplitude and phase for each of a plurality of frequency bins of the transform and the transform being previously obtained by estimating the respective amplitude and phase of the transform for each of the plurality of frequency bins based on a first plurality of calibration signals previously obtained by the first primary coil and a second plurality of calibration signals previously obtained by the first auxiliary sensor, wherein each of the first plurality of calibration signals and the second plurality of calibration signals comprise multiple values; and

suppressing noise in the magnetic resonance signal using the noise estimate.

2. The method of claim 1 , wherein the first plurality of calibration signals is indicative of multiple values for each of the plurality of frequency bins.

3. The method of claim 1 , wherein a discrete Fourier transform of the first plurality of calibration signals provides multiple values for each of the plurality of frequency bins.

4. The method of claim 1 , wherein the first plurality of calibration signals comprises a first calibration signal comprising a first plurality values obtained at a respective plurality of times.

5. The method of claim 1 , further comprising obtaining the transform at least in part by estimating the respective amplitude and phase of the transform for each of the plurality of frequency bins based on the first plurality of calibration signals obtained by the first primary coil and the second plurality of calibration signals obtained by the first auxiliary sensor.

6. The method of claim 1 , wherein the first primary coil is arranged within a field of view of the magnetic resonance imaging system to detect magnetic resonance signals produced by a sample when positioned within the field of view, and wherein the first auxiliary sensor comprises at least one auxiliary coil arranged outside the field of view.

7. The method of claim 1 , wherein the noise signal is received by the first auxiliary coil substantially at a same time as the first primary coil receiving the magnetic resonance signal.

8. The method of claim 1 , wherein each of the first plurality of calibration signals is obtained substantially at a same set of times as a respective one of the second plurality of calibration signals.

9. The method of claim 1 , wherein the magnetic resonance system is a low-field magnetic resonance imaging system configured to generate a B 0 field of 0.2 T or less.

10. The method of claim 9 , wherein the low-field magnetic resonance imaging system is configured to generate a B 0 field of 0.1 T or less.

11. A magnetic resonance imaging (MRI) system comprising:

a first primary coil;

a first auxiliary sensor; and

at least one controller configured to:

cause the first primary coil to receive a magnetic resonance signal;

cause the first auxiliary sensor to receive a noise signal;

estimate noise present in the magnetic resonance signal received by the first primary coil by applying a transform to the noise signal received by the first auxiliary sensor to obtain a noise estimate, wherein the transform applied to the noise signal comprises a respective amplitude and phase for each of a plurality of frequency bins of the transform, and the transform being previously obtained by estimating the respective amplitude and phase of the transform for each of the plurality of frequency bins based on a first plurality of calibration signals previously obtained by the first primary coil and a second plurality of calibration signals previously obtained by the first auxiliary sensor, wherein each of the first plurality of calibration signals and the second plurality of calibration signals comprise multiple values; and

suppress noise in the magnetic resonance signal using the noise estimate.

12. The MRI system of claim 11 , wherein the first plurality of calibration signals is indicative of multiple values for each of the plurality of frequency bins.

13. The MRI system of claim 11 , wherein a discrete Fourier transform of the first plurality of calibration signals provides multiple values for each of the plurality of frequency bins.

14. The MRI system of claim 11 , wherein the first plurality of calibration signals comprises a first calibration signal comprising a first plurality values obtained at a respective plurality of times.

15. The MRI system of claim 11 , wherein the at least one controller is further configured to obtain the transform at least in part by estimating the respective amplitude and phase of the transform for each of the plurality of frequency bins based on the first plurality of calibration signals obtained by the first primary coil and the second plurality of calibration signals obtained by the first auxiliary sensor.

16. The MRI system of claim 11 , wherein the first primary coil is arranged within a field of view of the MRI system to detect magnetic resonance signals produced by a sample when positioned within the field of view, and wherein the first auxiliary sensor comprises at least one auxiliary coil arranged outside the field of view.

17. The MRI system of claim 11 , wherein each of the first plurality of calibration signals is caused to be obtained substantially at a same time as a respective one of the second plurality of calibration signals.

18. The MRI system of claim 11 , wherein the at least one controller causes the first auxiliary sensor to receive the noise signal and the first primary coil to receive the magnetic resonance signal at substantially a same time.

19. The MRI system of claim 11 , wherein the magnetic resonance system is a low-field magnetic resonance imaging system configured to generate a B 0 field of 0.2 T or less.

20. The MRI system of claim 19 , wherein the low-field magnetic resonance imaging system is configured to generate a B 0 field of 0.1 T or less.

Assignments (3)
CHANGE OF NAME Recorded May 5, 2022
From: HYPERFINE, INC.
To: HYPERFINE OPERATIONS, INC.
Reel/Frame 059857/0154 →
CHANGE OF NAME Recorded Apr 18, 2022
From: HYPERFINE RESEARCH, INC.
To: HYPERFINE, INC.
Reel/Frame 059724/0146 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 1, 2022
From: REARICK, TODD; CHARVAT, GREGORY L.; ROSEN, MATTHEW SCOT; ROTHBERG, JONATHAN M.
To: HYPERFINE RESEARCH, INC.
Reel/Frame 059469/0361 →
Continuity (10)
Continuation 16583190 · Sep 25, 2019
Continuation 16195518 · Nov 19, 2018
Continuation 15721309 · Sep 29, 2017
Continuation 15387320 · Dec 21, 2016
Continuation 14845949 · Sep 4, 2015
Provisional Application 62174666 · Jun 12, 2015
Provisional Application 62111320 · Feb 3, 2015
Provisional Application 62110049 · Jan 30, 2015
Provisional Application 62046814 · Sep 5, 2014
Related Publication 20220091211A1 · Mar 24, 2022