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US 10,667,691 B2Granted
Compressed sensing high resolution functional magnetic resonance imaging
AssigneeThe Board of Trustees of the Leland Stanford Junior University
InventorsJin Hyung Lee, Zhongnan Fang
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Abstract
The present disclosure provides methods and systems for high-resolution functional magnetic resonance imaging (fMRI), including real-time high-resolution functional MRI methods and systems.
Claims20
A method for functional magnetic resonance imaging (fMRI) of a subject, the method comprising:
- applying with an MRI system, a balanced steady state free precession (b-SSFP) sequence to a target area in a subject;
- acquiring with the MRI system, image data of the target area in the subject using a randomly undersampled variable density spiral (VDS) trajectory, wherein the VDS trajectory includes a random stack of VDS trajectories, wherein a change in a radial direction versus a change in a rate in an angular direction of the VDS trajectories is determined by a number of interleaves and an effective field of view, wherein the field of view follows an exponential function and an angle between each interleaf of the number of interleaves is randomly distributed;
- and
- producing an image of the target area in the subject based on the acquired image data.
1 more element
A functional magnetic resonance imaging (fMRI) system, the system comprising:
- a coil configured to apply a balanced steady state free precession (b-SSFP) sequence to a target area in a subject;
- a receiver configured to acquire image data of the target area in the subject using a randomly undersampled variable density spiral (VDS) trajectory, wherein the VDS trajectory includes a random stack of VDS trajectories, wherein a change in a radial direction versus a change in a rate in an angular direction of the VDS trajectories is determined by a number of interleaves and an effective field of view, wherein the field of view follows an exponential function and an angle between each interleaf of the number of interleaves is randomly distributed;
- and
- a processor configured to produce an image of the target area in the subject based on the acquired image data.
1 more element
Dependencies are inferred from the claim text.