South Asian Journal of Cancer,
Journal Year:
2024,
Volume and Issue:
13(04), P. 236 - 240
Published: Oct. 1, 2024
Abstract
The
present
review
highlights
the
role
of
computed
tomography
(CT),
CT
colonography
(CTC),
and
magnetic
resonance
imaging
(MRI)
in
diagnosis,
staging,
response
evaluation,
follow-up
colorectal
cancer.
For
a
scan,
prior
bowel
preparation
is
required.
This
done
to
enhance
colon
with
use
oral
or
rectal
contrast
agents.
Negative
like
air
carbon
dioxide
are
helpful
detecting
polyps
masses
by
distending
colon.
Virtual
colonoscopy
offers
lower-radiation
alternative
for
polyp
cancer
detection.
Intravenous
administration
arterial
venous
phase
images
also
important
complete
staging
known
case
evaluation
residual/recurrent
disease.
With
respect
MRI,
high-resolution
T2-weighted
multiple
planes
important,
diffusion-weighted
(DWI)
sequences
being
restaging.
not
generally
recommended.
Contrast-enhanced
MRI
used
nodal
distant
metastasis
special
attention
pelvic
side
wall
nodes.
Positron
emission
(PET)
be
considered
further
if
findings
unclear
recurrence
suspected.
Science,
Journal Year:
2024,
Volume and Issue:
384(6696)
Published: May 9, 2024
Despite
a
half-century
of
advancements,
global
magnetic
resonance
imaging
(MRI)
accessibility
remains
limited
and
uneven,
hindering
its
full
potential
in
health
care.
Initially,
MRI
development
focused
on
low
fields
around
0.05
Tesla,
but
progress
halted
after
the
introduction
1.5
Tesla
whole-body
superconducting
scanner
1983.
Using
permanent
magnet
deep
learning
for
electromagnetic
interference
elimination,
we
developed
that
operates
using
standard
wall
power
outlet
without
radiofrequency
shielding.
We
demonstrated
wide-ranging
applicability
various
anatomical
structures.
Furthermore,
three-dimensional
reconstruction
to
boost
image
quality
by
harnessing
extensive
high-field
data.
These
advances
pave
way
affordable
learning–powered
ultra-low-field
scanners,
addressing
unmet
clinical
needs
diverse
care
settings
worldwide.
Science Advances,
Journal Year:
2023,
Volume and Issue:
9(38)
Published: Sept. 22, 2023
In
recent
years,
there
has
been
an
intensive
development
of
portable
ultralow-field
magnetic
resonance
imaging
(MRI)
for
low-cost,
shielding-free,
and
point-of-care
applications.
However,
its
quality
is
poor
scan
time
long.
We
propose
a
fast
acquisition
deep
learning
reconstruction
framework
to
accelerate
brain
MRI
at
0.055
tesla.
The
consists
single
average
three-dimensional
(3D)
encoding
with
2D
partial
Fourier
sampling,
reducing
the
T1-
T2-weighted
protocols
2.5
3.2
minutes,
respectively.
3D
leverages
homogeneous
anatomy
available
in
high-field
human
data
enhance
image
quality,
reduce
artifacts
noise,
improve
spatial
resolution
synthetic
1.5-mm
isotropic
resolution.
Our
method
successfully
overcomes
low-signal
barrier,
reconstructing
fine
anatomical
structures
that
are
reproducible
within
subjects
consistent
across
two
protocols.
It
enables
whole-brain
tesla,
potential
widespread
biomedical
Magnetic Resonance in Medicine,
Journal Year:
2024,
Volume and Issue:
92(1), P. 112 - 127
Published: Feb. 20, 2024
Abstract
Purpose
To
develop
a
new
electromagnetic
interference
(EMI)
elimination
strategy
for
RF
shielding‐free
MRI
via
active
EMI
sensing
and
deep
learning
direct
MR
signal
prediction
(Deep‐DSP).
Methods
Deep‐DSP
is
proposed
to
directly
predict
EMI‐free
signals.
During
scanning,
receive
coil
coils
simultaneously
sample
data
within
two
windows
(i.e.,
characterization
acquisition,
respectively).
Afterward,
residual
U‐Net
model
trained
using
synthetic
acquired
during
window,
signals
from
by
coils.
The
then
used
the
signal‐acquisition
window.
This
was
evaluated
on
an
ultralow‐field
0.055T
brain
scanner
without
any
shielding
1.5T
whole‐body
with
incomplete
shielding.
Results
accurately
predicted
in
presence
of
strong
EMI.
It
outperformed
recently
developed
EDITER
convolutional
neural
network
methods,
yielding
better
enabling
use
few
Furthermore,
it
could
work
well
dedicated
data.
Conclusion
presents
effective
that
outperforms
existing
advancing
toward
truly
portable
patient‐friendly
MRI.
exploits
coupling
between
as
typical
characteristics.
Despite
its
nature,
framework
computationally
simple
efficient.
Radiographics,
Journal Year:
2025,
Volume and Issue:
45(3)
Published: Feb. 13, 2025
MRI
at
lower
main
magnetic
field
strengths
such
as
0.55
T
offers
the
potential
to
image
intracranial
and
spinal
hardware
due
diminished
susceptibility
artifacts
structures
near
bone
reduced
differences
greater
homogeneity.
Diagnostics,
Journal Year:
2025,
Volume and Issue:
15(6), P. 713 - 713
Published: March 12, 2025
Background:
Low-field
Magnetic
Resonance
Imaging
(MRI)
(fields
below
0.5
T)
has
received
increasing
attention
since
the
images
produced
have
been
shown
to
be
diagnostically
equivalent
high-field
MR
for
specific
applications,
such
as
musculoskeletal
studies.
In
recent
years,
low-field
MRI
made
great
strides
in
clinical
relevance
due
advances
high-performance
gradients,
magnet
technology,
and
development
of
organ-specific
radiofrequency
(RF)
coils,
well
acquisition
sequence
design.
For
achieving
optimized
image
homogeneity
signal-to-noise
Ratio
(SNR),
design
simulation
dedicated
RF
coils
is
a
constraint
both
many
research
Methods:
This
paper
describes
application
numerical
full-wave
method
based
on
finite-difference
time-domain
(FDTD)
algorithm
birdcage
MRI.
particular,
magnetic
field
pattern
loaded
unloaded
conditions
was
investigated.
Moreover,
variations
coil
detuning
after
an
shield
insertion
were
evaluated.
Finally,
inductance
sample-induced
resistance
estimated.
Results:
The
accuracy
results
verified
by
data
acquired
from
two
lowpass
prototypes
designed
experiments
0.18
T
open
scanner.
Conclusions:
work
capability
simulations
various
scenarios,
including
presence
electromagnetic
shields
different
load
conditions.
Magnetic Resonance in Medicine,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 20, 2025
Abstract
Purpose
To
propose
and
validate
a
cardiac
T
1
ρ
mapping
sequence
at
0.55
comparing
continuous‐wave
adiabatic
spin‐lock
(SL)
preparation
pulses.
Methods
The
proposed
2D
acquires
four
single‐shot
balanced
SSFP
readout
images
with
differing
contrasts
in
single
breath‐hold.
first
three
are
prepared
pulses
different
durations,
while
the
last
image
uses
saturation
pulse
immediately
before
data
acquisition.
map
is
calculated
using
3‐parameter
fitting
method.
Bloch
equation
simulations
were
performed
to
optimize
parameters
of
adiabatic‐SL
Phantom
studies
vivo
experiments
10
healthy
volunteers,
porcine
myocardial
infarction
model,
patient
suspected
hypertrophic
cardiomyopathy
performance
(T
Ad
)
comparison
conventional
CW
mapping.
Results
simulation‐optimized
demonstrated
robust
despite
B
0
field
inhomogeneities.
exhibited
comparable
precision.
In
on
volunteers
showed
that
higher
than
(106.1
±
7.1
vs.
47.0
5.1
ms,
p
<
0.01)
better
precision
(11.4%
2.6%
14.5%
2.1%,
less
spatial
variation
(10.9%
3.0%
14.4%
3.4%,
0.01).
Both
agreed
late
gadolinium
enhancement
findings
model
patient,
improved
contrast
compared
2
Conclusion
promising
for
non‐contrast
detection
various
cardiomyopathies
T,
but
demonstrates
uniformity
.
