In vivo diffusion MRI of the human heart using a 300 mT/m gradient system
Magnetic Resonance in Medicine,
Год журнала:
2024,
Номер
92(3), С. 1022 - 1034
Опубликована: Апрель 22, 2024
This
work
reports
for
the
first
time
on
implementation
and
application
of
cardiac
diffusion-weighted
MRI
a
Connectom
MR
scanner
with
maximum
gradient
strength
300
mT/m.
It
evaluates
benefits
increased
performance
investigation
myocardial
microstructure.
Язык: Английский
Cardiac diffusion-weighted and tensor imaging: a Society for Cardiovascular Magnetic Resonance (SCMR) special interest group consensus statement
Journal of Cardiovascular Magnetic Resonance,
Год журнала:
2024,
Номер
27(1), С. 101109 - 101109
Опубликована: Окт. 22, 2024
Язык: Английский
Cardiac q‐space trajectory imaging by motion‐compensated tensor‐valued diffusion encoding in human heart in vivo
Magnetic Resonance in Medicine,
Год журнала:
2023,
Номер
90(1), С. 150 - 165
Опубликована: Март 20, 2023
Purpose
Tensor‐valued
diffusion
encoding
can
probe
more
specific
features
of
tissue
microstructure
than
what
is
available
by
conventional
weighting.
In
this
work,
we
investigate
the
technical
feasibility
tensor‐valued
at
high
b
‐values
with
q‐space
trajectory
imaging
(QTI)
analysis,
in
human
heart
vivo.
Methods
Ten
healthy
volunteers
were
scanned
on
a
3T
scanner.
We
designed
time‐optimal
gradient
waveforms
for
(linear
and
planar)
second‐order
motion
compensation.
Data
analyzed
QTI.
Normal
values
repeatability
investigated
mean
diffusivity
(MD),
fractional
anisotropy
(FA),
microscopic
FA
(μFA),
isotropic,
anisotropic
total
kurtosis
(MKi,
MKa,
MKt),
orientation
coherence
(
C
c
).
A
phantom,
consisting
two
fiber
blocks
adjustable
angles,
was
used
to
evaluate
sensitivity
parameters
dispersion
time.
Results
QTI
data
left
ventricular
myocardium
MD
=
1.62
±
0.07
μm
2
/ms,
0.31
0.03,
μFA
0.43
0.07,
MKa
0.20
MKi
0.13
MKt
0.33
0.09,
0.56
0.22
(mean
SD
across
subjects).
Phantom
experiments
showed
that
depends
dispersion,
whereas
insensitive
effect.
Conclusion
demonstrated
first
analysis
vivo,
along
measurements
myocardial
μFA,
MKi,
.
The
methodology
technically
feasible
provides
promising
novel
biomarkers
characterization.
Язык: Английский
Impact of velocity- and acceleration-compensated encodings on signal dropout and black-blood state in diffusion-weighted magnetic resonance liver imaging at clinical TEs
PLoS ONE,
Год журнала:
2023,
Номер
18(10), С. e0291273 - e0291273
Опубликована: Окт. 5, 2023
Purpose
The
study
aims
to
develop
easy-to-implement
concomitant
field-compensated
gradient
waveforms
with
varying
velocity-weighting
(
M
1
)
and
acceleration-weighting
2
levels
evaluate
their
efficacy
in
correcting
signal
dropouts
preserving
the
black-blood
state
liver
diffusion-weighted
imaging.
Additionally,
we
seek
determine
an
optimal
degree
of
compensation
that
minimizes
while
maintaining
blood
suppression.
Methods
Numerically
optimized
were
adapted
using
a
novel
method
allows
for
simultaneous
tuning
-
-weighting
by
changing
only
one
timing
variable.
Seven
healthy
volunteers
underwent
magnetic
resonance
imaging
(DWI)
five
diffusion
encoding
schemes
(monopolar,
velocity-compensated
=
0),
acceleration-compensated
84%-
–
-compensated,
67%-
-compensated)
at
b-values
50
800
s/mm
constant
echo
time
70
ms.
Signal
dropout
correction
apparent
coefficients
(ADCs)
quantified
regions
interest
left
right
lobe.
appearance
was
evaluated
two
five-point
Likert
scales.
Results
more
pronounced
lobe
(19%-42%
less
than
monopolar
scheme)
best
corrected
acceleration-compensation
(8%-10%
lobe).
encodings
decreased
significantly
(p
<
0.001)
velocity-
and/or
acceleration-compensation.
partially
-compensated
could
restore
again.
Strongest
ADC
bias
occurred
(difference
between
left/right
0.41
μm
/ms
vs.
0.12
other
encodings).
Conclusion
All
used
this
demonstrated
suitability
routine
DWI
application.
results
indicate
perfect
value
level
-compensation
does
not
exist.
However,
among
examined
encodings,
provided
suitable
tradeoff.
Язык: Английский