Diffusion imaging of tissues
First Claim
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1. A method of constructing an image representative of structure within a tissue, the method comprising(a) inducing a population of spins in the tissue to produce a set of nuclear magnetic resonance (NMR) signals, wherein the signals comprise a set of complex Fourier-encodings of a distribution of three-dimensional displacements of the spins in the population;
- (b) converting each of the NMR signals in the set of complex Fourier-encodings into a positive number to form a set of positive numbers to exclude phase information;
(c) reconstructing from the set of positive numbers a function that approximates the distribution of three-dimensional displacements of the spins in the population in multiple directions; and
(d) constructing an image that represents the function, whereby the image represents structure within the tissue.
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Abstract
The invention relates to the use of diffusion spectrum magnetic resonance imaging (MRI) to map complex fiber architectures in tissues. The new methods can be used to resolve intravoxel heterogeneity of diffusion in vivo with MRI of diffusion density spectra.
52 Citations
43 Claims
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1. A method of constructing an image representative of structure within a tissue, the method comprising
(a) inducing a population of spins in the tissue to produce a set of nuclear magnetic resonance (NMR) signals, wherein the signals comprise a set of complex Fourier-encodings of a distribution of three-dimensional displacements of the spins in the population; -
(b) converting each of the NMR signals in the set of complex Fourier-encodings into a positive number to form a set of positive numbers to exclude phase information;
(c) reconstructing from the set of positive numbers a function that approximates the distribution of three-dimensional displacements of the spins in the population in multiple directions; and
(d) constructing an image that represents the function, whereby the image represents structure within the tissue. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43)
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39. A computer-implemented program for constructing an image representative of structure within a tissue, the program comprising a plurality of program instructions stored on a electronic apparatus-readable medium for implementing the steps of:
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(a) inducing a population of spins in the tissue to produce nuclear magnetic resonance (NMR) signals, wherein the signals comprise a set of complex Fourier-encodings of a distribution of three-dimensional displacements of the spins in the population;
(b) converting each of the NMR signals in the set of complex Fourier-encodings into a positive number to form a set of positive numbers to exclude phase information;
(c) reconstructing from the set of positive numbers a function that approximates the distribution of three-dimensional displacements of the spins in the population in multiple directions; and
(d) constructing an image that represents the function, whereby the image represents structure within the tissue.
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Specification