IP Library Granted Patent US 9,910,118
Granted Patent B2
US 9,910,118 · App. 13/867,922 · Granted Mar 6, 2018

Systems and methods for cartesian dynamic imaging

Inventors: Xue Feng (Charlottesville, VA); Michael Salerno (Charlottesville, VA); Christopher M. Kramer (Charlottesville, VA); Craig H. Meyer (Charlottesville, VA)
Assignee: University of Virginia Patent Foundation
G01R33/482G01R33/5608G01R33/56308G01R33/5611
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Quick Facts
Patent No.
US 9,910,118
App. No.
13/867,922
Granted
Mar 6, 2018
Kind
B2
Abstract

Systems and methods for Cartesian dynamic imaging are disclosed. In one aspect, in accordance with one example embodiment, a method includes acquiring magnetic resonance data for an area of interest of a subject that is associated with one or more physiological activities of the subject and performing image reconstruction comprising Kalman filtering or smoothing on Cartesian images associated with the acquired magnetic resonance data. Performing the image reconstruction includes increasing at least one of spatial and temporal resolution of the Cartesian images.

Claims (33)

1. A method, comprising:

acquiring magnetic resonance data for an area of interest of a subject that is associated with at least one physiological activity of the subject, wherein acquiring the magnetic resonance data comprises Cartesian sampling, and wherein the Cartesian sampling comprises Cartesian k-space measurement wherein undersampling is performed in a phase encoding direction and k-space is fully sampled or oversampled in a readout direction; and

performing image reconstruction comprising Kalman filtering or smoothing on Cartesian images of a Cartesian dynamic image series associated with the acquired magnetic resonance data,

wherein the image reconstruction comprises increasing at least one of spatial or temporal resolution of the Cartesian images, and

wherein a direct one-dimensional Fourier transform is performed along the readout direction and a Kalman filter is applied for the image reconstruction along the phase encoding direction.

2. The method of claim 1 , wherein performing the image reconstruction comprises performing non-iterative image reconstruction.

3. The method of claim 1 , wherein performing the image reconstruction comprises linear filtering in real-time.

4. The method of claim 1 , wherein performing the image reconstruction comprises estimating a current state of the area of interest based on image data corresponding to a past state of the area of interest, based on at least one of temporal or spatial redundancies.

5. The method of claim 1 , further comprising generating, based on the Cartesian image reconstruction, at least one visual representation, for presentation on a display, of the physiological activity in the area of interest of the subject.

6. The method of claim 1 , wherein the at least one physiological activity comprises cardiac activity.

7. A system, comprising:

a magnetic resonance imaging (MRI) device;

one or more processors; and

at least one memory device in communication with the MRI device, storing computer-readable instructions that, when executed by the one or more processors, cause the system to:

acquire magnetic resonance data for an area of interest of a subject that is associated with at least one physiological activity of the subject, wherein acquiring the magnetic resonance data comprises Cartesian sampling, and wherein the Cartesian sampling comprises Cartesian k-space measurement wherein undersampling is performed in a phase encoding direction and k-space is fully sampled or oversampled in a readout direction; and

perform image reconstruction comprising Kalman filtering or smoothing on Cartesian images of a Cartesian dynamic image series associated with the acquired magnetic resonance data,

wherein the image reconstruction comprises increasing at least one of spatial or temporal resolution of the Cartesian images, and

wherein a direct one-dimensional Fourier transform is performed along the readout direction and a Kalman filter is applied for the image reconstruction along the phase encoding direction.

8. The system of claim 7 , wherein performing the image reconstruction comprises performing non-iterative image reconstruction.

9. The system of claim 7 , wherein performing the image reconstruction comprises linear filtering in real-time.

10. The system of claim 7 , wherein performing the image reconstruction comprises estimating a current state of the area of interest based on image data corresponding to a past state of the area of interest, based on at least one of temporal or spatial redundancies.

11. The system of claim 7 , further comprising generating, based on the Cartesian image reconstruction, at least one visual representation, for presentation on a display, of the physiological activity in the area of interest of the subject.

12. The system of claim 7 , wherein the at least one physiological activity comprises cardiac activity.

13. A non-transitory computer-readable storage medium having stored computer-executable instructions that, when executed by one or more processors, cause a computer to perform functions comprising:

acquiring magnetic resonance data for an area of interest of a subject that is associated with at least one physiological activity of the subject, wherein acquiring the magnetic resonance data comprises Cartesian sampling, wherein the Cartesian sampling comprises Cartesian k-space measurement wherein undersampling is performed in a phase encoding direction and k-space is fully sampled or oversampled in a readout direction; and

performing image reconstruction comprising Kalman filtering or smoothing on Cartesian images of a Cartesian dynamic image series associated with the acquired magnetic resonance data,

wherein the image reconstruction comprises increasing at least one of spatial or temporal resolution of the Cartesian images, and

wherein a direct one-dimensional Fourier transform is performed along the readout direction and a Kalman filter is applied for the image reconstruction along the phase encoding direction.

14. The non-transitory computer-readable storage medium of claim 13 , wherein performing the image reconstruction comprises performing non-iterative image reconstruction.

15. The non-transitory computer-readable storage medium of claim 13 , wherein performing the image reconstruction comprises linear filtering in real-time.

16. The non-transitory computer-readable storage medium of claim 13 , wherein performing the image reconstruction comprises estimating a current state of the area of interest based on image data corresponding to a past state of the area of interest, based on at least one of temporal or spatial redundancies.

17. The non-transitory computer-readable storage medium of claim 13 , further comprising generating, based on the Cartesian image reconstruction, at least one visual representation, for presentation on a display, of the physiological activity in the area of interest of the subject.

18. The non-transitory computer-readable storage medium of claim 13 , wherein the at least one physiological activity comprises cardiac activity.

Assignments (3)
CONFIRMATORY LICENSE Recorded Aug 16, 2016
From: UNIVERSITY OF VIRGINIA
To: NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT
Reel/Frame 039697/0885 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 3, 2014
From: FENG, XUE; SALERNO, MICHAEL; KRAMER, CHRISTOPHER M; MEYER, CRAIG H
To: UNIVERSITY OF VIRGINIA
Reel/Frame 034087/0547 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 3, 2014
From: UNIVERSITY OF VIRGINIA
To: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
Reel/Frame 034087/0579 →
Continuity (2)
Provisional Application 61636501 · Apr 20, 2012
Related Publication 20130307536A1 · Nov 21, 2013