Yasuhiko Tachibana1,2, Takayuki Obata1,2, Hiroki Tsuchiya1, Tokuhiko Omatsu1,2, Riwa Kishimoto1,2, Thorsten Feiweier3, and Hiroshi Tsuji1
1Research Center of Charged Particle Therapy, National Institute of Radiological Science, Chiba, Japan, 2Applied MRI Research, National Institute of Radiological Science, Chiba, Japan, 3Siemens Healthcare GmbH, Erlangen, Germany
Synopsis
We performed multi-b and
multi-diffusion-time DWI (MbMdt-DWI) on human brain to visualize the mixture of
restricted and hindered diffusion components, and also the water exchange
between them. The diffusion parameters including the exchange time were
calculated. The observed signal patterns clearly indicated the existence of the
inter-compartmental water exchange. The calculated exchange time was within the
appropriate range assumed from a previous cell-based study in vitro. MbMdt-DWI may be useful for assessing micro-diffusion in
human brain.Purpose
To
assess the capability of multiple b-value with multiple diffusion-time (DT) diffusion-weighted
imaging (MbMdt-DWI) to visualize the mixture of restricted and hindered
diffusion-components and the water exchange between them in healthy human
brain.
Materials
and Methods
Seven
healthy female volunteers were recruited for this study (20-33 years, mean 24).
Their brain MbMdT-DWIs were acquired by 3T MRI (MAGNETOM Skyra, Siemens
Healthcare, Erlangen, Germany) with a proto type sequence (Table 1). 11
b-values from 0 to 4000 sec/mm2 were selected, with two encoding
directions, respectively. The separation times of the gradients (Δ) were set at 43.4, 63.4, and 83.4 msec, while the diffusion gradient
duration (δ) was fixed at 25.0 msec. Regions-of-interest
(ROI) were designated manually at the corticospinal tract of the left internal
capsule (PLIC) and deep white matter of the left centrum semiovale (CS). A free-water
phantom and a phantom of pure restricted-diffusion (Capillary Plate (CP),
Hamamatsu Photonics, Japan) were scanned as well as references.
1.
DT dependency was assessed by plotting the intra-ROI signal
intensity (the mean of the two encoding directions) of the subjects.
2.
A diffusion model based on the Karger model was assessed
(Fig.1) [1-3].
The model consisted
of restricted and hindered diffusion components (RDC and HDC: their fractions
were fr and fh) with inter-compartment exchange. The measured signal at a certain
DT was expressed as the sum of the signal from RDC (Cr(DT)) and HDC (Ch(DT)) (Fig.2
Eq.1). RDC was defined as the compartment of which the diffusion-coefficient (Dr) was inversely proportional to DT. A
supplementary independent variable (A)
was set to define this diffusion (A =
Dr×DT)
[3]. HDC was defined as the compartment
with diffusion independent of DT. The diffusion-coefficient of HDC (Dh) was fixed at 0.0012 mm2/sec
in this study. The inter-compartment exchange was defined by the exchange time
from RDC to HDC (tr) and that from
HDC to RDC (th) (Fig.2 Eq.2). The
independent variables A, fr, and tr were calculated (Fig.2 Eq.3,4). The variables between PLIC and
CS were statistically compared (Wilcoxon signed-rank test; P<0.05 was
considered significant).
Results
1.
Strong DT dependency nearly linear with the b-value was
found in CP, while no DT dependency was found in free water (Fig.3, upper row).
In PLIC and CS, DT dependency was found at high b-values. Signal-intensity was elevated
or it was slightly decreased when DT was increased from Δ=43.4 to 63.4 msec, and was then decreased by increasing DT
further from Δ=63.4 to 83.4 msec (Fig.3, lower row).
2.
The observed signal intensities were fit well by the signal-change-curve
obtained from the calculated parameters of the proposed model (Fig. 2). The
medians of fr and tr in PLIC were larger than those in CS,
with significant differences. Statistical difference was not found in A (Table 2).
Discussion
1.
The model of mixed RDC and HDC was reasonable in the DTs
applied in this study, because a DT relation was found in high b-values, but
not in low b-values in vivo. Furthermore,
the fact that the signal was first elevated (or slightly decreased) and then
decreased as DT increased may prove the existence of inter-compartment water exchange,
because if the compartments were independent, the difference between different
DTs should have increased monotonically (as adding the signal of CP and free
water).
2.
The significantly larger fr
in PLIC than CS may suggest larger intra-axonal space, and the small difference
in A may suggest a relatively
consistent axon diameter by the analogy of the assessment of corticospinal
tract by q-space imaging [4]. The significant
difference found in tr (larger in
PLIC) may possibly reflect myelin density. However, the results do not provide
sufficient evidence to prove these hypotheses at this moment. Further study
with larger numbers of MPG encoding directions, as well as longer diffusion
time (requiring larger gradient strength to maintain TE) may support our
results. A study of myelin-water fraction may also help. On the other hand, another previous in vitro study that assessed water exchange in
aquaporin-4-expressing and -non-expressing cells reported the exchange times
from intra- to extra-cellular space as 43.1 msec and 100.7 msec, respectively [5]. The range included tr of PLIC and CS in this study, which
may somewhat support the appropriateness of our results, as RDC may mostly belong
to intracellular water.
Conclusion
MbMdt-DWI
may be useful for visualizing the exchange between RDC and HDC in human brain.
Acknowledgements
This
work was partially supported by grants from the Ministry of Education, Culture,
Sports, and Science.
The
authors appreciate H. Kamata for her general assistance, and K. Murata for his
technical advice.
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