USRE49978EActiveUtility
Method of performing diffusion weighted magnetic resonance measurements on a sample
Est. expiryNov 9, 2036(~10.3 yrs left)· nominal 20-yr term from priority
G01R 33/56341G01R 33/4835G01R 33/543G01R 33/5608A61B 5/055
60
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0
Cited by
99
References
16
Claims
Abstract
According to an aspect of the present inventive concept there is provided a method of performing diffusion weighted magnetic resonance measurements on a sample, the method includes performing diffusion weighted magnetic resonance measurements on the sample, where the measurements include a first measurement with a first diffusion encoding sequence having a first diffusion weighting tensor representation B1 with at least two non-zero eigenvalues and a second measurement with a second diffusion encoding sequence having a second diffusion weighting tensor representation B2 with at least two non-zero eigenvalues. The first tensor representation B1 and the second tensor representation B2 have a same number of non-zero eigenvalues, where the eigenvalues of the first tensor representation B1 matching the eigenvalues of the second tensor representation B2, and the first and the second diffusion encoding sequences are configured to present a matching average spectral content; and to present a different degree of spectral anisotropy.
Claims
exact text as granted — not AI-modifiedThe invention claimed is:
1. A method of performing diffusion weighted magnetic resonance measurements on a sample, the method comprising:
performing diffusion weighted magnetic resonance measurements on the sample,
wherein said measurements includes:
a first measurement with a first diffusion encoding sequence having a first diffusion weighting tensor representation B 1 with at least two non-zero eigenvalues,
a second measurement with a second diffusion encoding sequence having a second diffusion weighting tensor representation B 2 with at least two non-zero eigenvalues,
wherein the first tensor representation B 1 and the second tensor representation B 2 have a same number of non-zero eigenvalues, the eigenvalues of the first tensor representation B 1 matching the eigenvalues of the second tensor representation B 2 , and
wherein the first and the second diffusion encoding sequences are configured to present a matching average spectral content, and to present a different degree of spectral anisotropy.
2. A method according to claim 1 , wherein the first and the second diffusion encoding sequences are configured such that had:
a third diffusion encoding sequence, having a normalized dephasing vector representation F 3 matching a first normalized dephasing vector representation F 1 of the first diffusion encoding sequence and having a non-zero diffusion encoding strength, been applied to a first test sample consisting of a collection of spherical compartments of a 5 μm diameter, and
a fourth diffusion encoding sequence, having a normalized dephasing vector representation F 4 matching a second normalized dephasing vector representation F 2 of the second diffusion encoding sequence and having said non-zero diffusion encoding strength, been applied to said first test sample,
a signal attenuation resulting from the third diffusion encoding sequence would match a signal attenuation resulting from the fourth diffusion encoding sequence;
and such that had:
the third diffusion encoding sequence been applied to a second test sample consisting of a collection of cylindrical compartments of a 5 μm diameter with a uniform orientation dispersion, and
the fourth diffusion encoding sequence been applied to said second test sample,
a signal attenuation resulting from the third diffusion encoding sequence would differ from a signal attenuation resulting from the fourth diffusion encoding sequence.
3. A method according to claim 1 , wherein said first measurement includes acquiring a first signal attenuation, and said second of measurement includes acquiring a second signal attenuation.
4. A method according to claim 1 , wherein said measurements include:
a first set of measurements including said first measurement and a plurality of additional measurements performed with said first diffusion encoding sequence applied to the sample with different rotations with respect to a measurement frame of reference,
a second set of measurements including said second measurement and a plurality of additional measurements performed with said second diffusion encoding sequence applied to the sample with different rotations with respect to the measurement frame of reference.
5. A method according to claim 4 , wherein:
each measurement of said first set of measurements includes acquiring a respective signal attenuation and the method comprises determining a first average signal attenuation based on said respective signal attenuations, and
each measurement of said second set of measurements includes acquiring a respective signal attenuation and the method comprises determining a second average signal attenuation based on said respective signal attenuations.
6. A method according to claim 1 , further comprising:
generating an output indicative of a difference between first and second signal attenuations or between first and second average signal attenuations.
7. A method according to claim 1 , wherein said first tensor representation has three matching non-zero eigenvalues.
8. A method according to claim 1 , wherein said second tensor representation has three matching non-zero eigenvalues.
9. A method according to claim 1 , wherein performing said measurements includes, measuring a respective signal attenuation resulting from each one of said measurements, from each one of a plurality of voxels within a region of interest of the sample.
10. A method according to claim 1 , further comprising generating an output including an indication of voxels for which a signal attenuation acquired in the first measurement differs from a signal attenuation acquired in the second measurement.
11. A method of performing diffusion weighted magnetic resonance measurements on a sample, the method comprising:
performing diffusion weighted magnetic resonance measurements on the sample,
wherein said measurements includes:
a first set of measurement performed with diffusion encoding sequences with different diffusion encoding strengths and matching average spectral content and matching degree of spectral anisotropy,
a second set of measurement performed with diffusion encoding sequences with different diffusion encoding strengths and matching average spectral content and matching degree of spectral anisotropy,
wherein the degree of spectral anisotropy of the diffusion encoding sequences of the first set differs from the degree of spectral anisotropy of the diffusion encoding sequences of the second set.
12. A method according to claim 11 , further comprising:
fitting a first function to a first data set representing said first set of measurements to estimate a first signal attenuation curve, and
fitting a second function to a second data set representing said second set of measurements to estimate a second signal attenuation curve.
13. A method according to claim 12 , further comprising generating an output based on at least one parameter of the first function and at least one parameter of the second function.
14. A method according to claim 11 , wherein the diffusion encoding sequences of each one of the first set and the second set have a respective tensor representation, wherein a number of non-zero eigenvalues of the tensor representations are equal.
15. A method according to claim 11 , wherein the average spectral content of each of the diffusion encoding sequences of the first set matches the average spectral content of each of the diffusion encoding sequences of the second set.
16. A method of performing diffusion weighted magnetic resonance measurements on a sample comprising partial volumes having different diffusion characteristics, and extracting information relating to the different diffusion characteristics and microscopic structures of the sample, the method comprising:
performing on the sample a first diffusion weighted magnetic resonance measurement with a first diffusion encoding sequence having a first diffusion weighting tensor representation B 1 with at least two non-zero eigenvalues, and acquiring a first signal attenuation, performing on the sample a second diffusion weighted magnetic resonance measurement with a second diffusion encoding sequence having a second diffusion weighting tensor representation B 2 with at least two non-zero eigenvalues, and acquiring a second signal attenuation, wherein the first tensor representation B 1 and the second tensor representation B 2 have a same number of non-zero eigenvalues; wherein for the first diffusion encoding sequence,
〈
μ
(
n
)
〉
=
μ
1
(
n
)
+
μ
2
(
n
)
+
μ
3
(
n
)
μ
1
(
0
)
+
μ
2
(
0
)
+
μ
3
(
0
)
,
and
S
A
(
n
)
=
[
1
2
μ
1
(
0
)
μ
2
(
0
)
(
μ
1
(
n
)
-
μ
2
(
n
)
)
2
+
μ
2
(
0
)
μ
3
(
0
)
(
μ
2
(
n
)
-
μ
3
(
n
)
)
2
+
μ
3
(
0
)
μ
1
(
0
)
(
μ
3
(
n
)
-
μ
1
(
n
)
)
2
μ
1
(
n
)
2
+
μ
2
(
n
)
2
+
μ
3
(
n
)
2
]
1
/
2
where n is a positive real number and μ i (n) denotes eigenvalues of a tensor m (n) with elements
m
ij
(
n
)
=
∫
-
∞
∞
F
~
i
(
ω
)
F
~
j
*
(
ω
)
❘
"\[LeftBracketingBar]"
ω
❘
"\[RightBracketingBar]"
n
d
ω
,
where {tilde over (F)} i (ω) and {tilde over (F)} j *(ω) are i th and j th components of a normalized dephasing vector, respectively, of a normalized dephasing spectrum {tilde over (F)}(ω) representation of the first diffusion encoding sequence, and
for the second diffusion encoding sequence,
〈
μ
(
n
)
〉
=
μ
1
(
n
)
+
μ
2
(
n
)
+
μ
3
(
n
)
μ
1
(
0
)
+
μ
2
(
0
)
+
μ
3
(
0
)
,
and
SA
(
n
)
=
[
1
2
μ
1
(
0
)
μ
2
(
0
)
(
μ
1
(
n
)
-
μ
2
(
n
)
)
2
+
μ
2
(
0
)
μ
3
(
0
)
(
μ
2
(
n
)
-
μ
3
(
n
)
)
2
+
μ
3
(
0
)
μ
1
(
0
)
(
μ
3
(
n
)
-
μ
1
(
n
)
)
2
μ
1
(
n
)
2
+
μ
2
(
n
)
2
+
μ
3
(
n
)
2
]
1
/
2
where n is a positive real number and μ i (n) denotes eigenvalues of a tensor m (n) with elements
m
ij
(
n
)
=
∫
-
∞
∞
F
~
i
(
ω
)
F
~
j
*
(
ω
)
❘
"\[LeftBracketingBar]"
ω
❘
"\[RightBracketingBar]"
n
d
ω
,
where {tilde over (F)} i (ω) and {tilde over (F)} j *(ω) are i th and j th eigenvector, respectively, of a normalized dephasing spectrum {tilde over (F)}(ω) representation of the second diffusion encoding sequence;
wherein the first and the second diffusion encoding sequences are configured to:
present a matching average spectral content in a sense that the μ (n) calculated for the first diffusion encoding sequence matches the μ (n) calculated for the second diffusion encoding sequence, and
to present a different degree of spectral anisotropy in a sense that the SA (n) calculated for the first diffusion encoding sequence differs from the SA (n) calculated for the second diffusion encoding sequence; and
generating an output indicative of a difference between the first and second signal attenuations.Cited by (0)
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