Linear transform for diffusion mri
AssigneeUniversity of Southern California
InventorsJustin P. Haldar, Richard M. Leahy
Life of this patent
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Abstract
Samples of a Fourier transform of a signal may be received that are distributed in a generally spherically-shaped pattern on a surface of at least one sphere. The samples may be assembled to form a profile function having a domain that is a surface of at least one sphere. Information indicative of at least one property of the signal may be determined by applying a spherical linear transform to the profile function. The spherical linear transform may use more than just an equator of the profile function for each of multiple orientations.
Claims20
A non-transitory, tangible, computer-readable storage medium containing a program of instructions that cause a computer system running the program of instructions to:
- receive samples of a Fourier transform of a signal that are distributed in a generally spherically-shaped pattern on a surface of at least one sphere;
- assemble the samples to form a profile function having a domain that is a surface of at least one sphere;
- and
- determine information indicative of at least one property of the signal by applying a spherical linear transform to the profile function, wherein the spherical linear transform uses more than just an equator of the profile function for each of multiple orientations.
An MRI system comprising:
- an MRI machine that generates diffusion MRI data;
- a computer system;
- and
- a computer-readable storage medium containing a program of instructions that cause the computer system running the program of instructions to:
- receive samples of a Fourier transform of a signal that are distributed in a generally spherically-shaped pattern on a surface of at least one sphere;
- assemble the samples to form a profile function having a domain that is a surface of at least one sphere;
- and
- determine information indicative of at least one property of the signal by applying a spherical linear transform to the profile function, wherein the spherical linear transform uses more than just an equator of the profile function for each of multiple orientations,
- wherein the samples of a Fourier transform include the diffusion MRI data and the signal is a diffusion function.
Dependencies are inferred from the claim text.