IP Library Granted Patent US 8,508,225
Granted Patent B2
US 8,508,225 · App. 12/927,213 · Granted Aug 13, 2013

T2-weighted and diffusion-weighted imaging using fast acquisition with double echo (FADE)

Inventors: Kristin L Granlund (Menlo Park, CA); Ernesto Staroswiecki (Menlo Park, CA); Brian A. Hargreaves (Menlo Park, CA)
Assignee: The Board of Trustees of the Leland Stanford Junior University
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Quick Facts
Patent No.
US 8,508,225
App. No.
12/927,213
Granted
Aug 13, 2013
Kind
B2
Abstract

A method of acquiring T2-weighted and diffusion-weighted images is provided. The method includes acquiring a first image and a second image in a single magnetic resonance imaging (MRI) scan, where the first image and the second image have different echo times (TE). The single MRI scan includes a series of repeated RF excitation pulses, where the echo signal for the first image and the echo signal for the second image are acquired between a pair of RF excitation pulses. A spoiler gradient is disposed to provide a first diffusion weighting to the first image and a second diffusion weighting to the second image, where the first image and the second image have different T2 weightings and different diffusion weightings.

Claims (17)

1. A method of acquiring T2-weighted and diffusion-weighted images, comprising: acquiring a first image and a second image in a single magnetic resonance imaging (MRI) scan, wherein said first image and said second image are separated by a spoiler gradient, wherein said single MRI scan comprises a series of repeated RF excitation pulses, wherein an echo signal for said first image and an echo signal for said second image are acquired between one pair of said RF excitation pulses, wherein said spoiler gradient is disposed to provide a first diffusion weighting to said first image and a second diffusion weighting to said second image, wherein said MRI scan is repeated with different said spoiler gradients, wherein each said spoiler gradient is used to apply a different said diffusion weighting to each said image, wherein each said image has a unique said T2 weighting and a unique said diffusion weighting.

2. The method of claim 1 , wherein said spoiler gradient is a changeable spoiler gradient, wherein said changeable spoiler gradient comprises a non-rewound component of an imaging gradient on all gradient axes.

3. The method of claim 1 , wherein said spoiler gradient is a changeable spoiler gradient, wherein parameters of said changeable spoiler gradient comprises parameters selected from the group consisting of a pulse duration, a pulse amplitude, a pulse position in time, and a pulse direction.

4. The method of claim 1 , wherein a sequence timing is changed to modify said T2 weighting and said diffusion weighting of said first image and said second image, wherein said sequence timing changes comprises changing parameters selected from the group consisting of TE1, TE2, and TR.

5. The method of claim 1 , wherein a flip angle of an RF excitation pulse in said series of repeated RF excitation pulses is changed to modify said T2 weighting and to modify said diffusion weighting of said first image and said second image.

6. The method of claim 1 , wherein an RF excitation pulse in said series of repeated RF excitation pulses is changed to modify acquired information, wherein said change in said RF excitation pulse comprises changing parameters selected from the group consisting of spatial selectivity, spectral selectivity, off-resonance, and playing said RF excitation pulse with adiabatic parameters.

7. The method of claim 1 , wherein data from said first image is used to correct data from said second image, wherein said correction of said second image data comprises data selected from the group consisting of phase correction, motion correction and parallel image artifact correction.

8. The method of claim 1 , wherein said MRI scan is repeated with said TE of said first image or said TE of said second image shifted, wherein each said shifted TE enables a separation of water and fat in said images.

9. The method of claim 1 , wherein an acquisition of each echo signal having said TE is replaced with multiple acquisitions of said echo signals, wherein said multiple acquisitions have different said TE, wherein said multiple echo signal acquisitions enable a separation of water from fat in said first image and said second image.

10. A method of acquiring T2-weighted and diffusion-weighted images, comprising: acquiring a first T2 image and a second T2 image in a single magnetic resonance imaging (MRI) scan, wherein said first T2 image and said second T2 image have different echo times (TE), wherein said single MRI scan comprises a series of repeated RF excitation pulses, wherein an echo signal for said first image and an echo signal for said second T2 image are acquired between each pair of said RF excitation pulses, wherein a spoiler gradient is disposed to provide a first diffusion weighting to said first T2 image and a second diffusion weighting to said second image, wherein said first T2 image and said second T2 image have different T2 weightings and different diffusion weightings, wherein said MRI scan is repeated with different sequence parameters.

11. The method of claim 10 , wherein said different sequence parameters comprise changing parameters selected from the group consisting of spoiler pulse duration, spoiler pulse amplitude, spoiler pulse position, spoiler pulse direction, TE1, TE2, TR, flip angle of said RF excitation pulse, spatial selectivity of said RF pulse, spectral selectivity of said RF pulse, off-resonance of said RF pulse, and disposing said RF excitation pulse with adiabatic properties.

12. The method of claim 10 , wherein said first image and said second T2 image in each said MRI scan are compared for differences in image contrast, wherein said differences in image contrast are used to quantify tissue parameters, wherein said tissue parameters comprise T1, T2, a proton density, or an apparent diffusion coefficient (ADC).

13. The method of claim 10 , wherein said first T2 image and said T2 second image in each said MRI scan are compared for differences in image contrast, wherein said differences in image contrast are used to quantify system parameters, wherein said system parameters comprise B0, B1 or off-resonance.

14. The method of claim 10 , wherein a T2 map is calculated from said images, wherein said T2 map is corrected to remove effects of diffusion.

15. The method of claim 10 , wherein an apparent diffusion coefficient (ADC) map is calculated from said images, wherein said ADC map is corrected to remove effects of T2.

16. The method of claim 10 , wherein images from said MRI scans are combined using arithmetic operations to provide hybrid image contrast.

17. The method of claim 10 , wherein each said spoiler gradient for each said MRI scan is disposed in a different direction, wherein directional diffusion information is provided, wherein said directional diffusion is used to calculate diffusion tensor information.

Assignments (2)
CONFIRMATORY LICENSE Recorded Mar 23, 2011
From: THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY
To: NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT
Reel/Frame 026008/0530 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 21, 2011
From: GRANLUND, KRISTIN L.; STAROSWIECKI, ERNESTO; HARGREAVES, BRIAN A.
To: BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY, THE
Reel/Frame 025697/0394 →
Continuity (1)
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