Dual-energy
CT
(DECT)
imaging
has
broadened
the
potential
of
by
offering
multiple
postprocessing
datasets
with
a
single
acquisition
at
more
than
one
energy
level.
DECT
shows
profound
capabilities
to
improve
diagnosis
based
on
its
superior
material
differentiation
and
quantitative
value.
However,
dual
remains
relatively
untapped,
possibly
due
intricate
workflow
intrinsic
technical
limitations
DECT.
Knowing
clinical
advantages
dual-energy
recognizing
pitfalls
is
neces-sary
for
an
appropriate
use.
The
aims
this
paper
are
review
physical
basis
analysis,
discuss
in
dif-ferent
scenarios,
constraints
labeling
quantification,
evaluate
cutting-edge
applications
imaging,
including
artificial
intelligence,
qualitative
biomarkers,
DECT-derived
radiomics
radioge-nomics
Journal of X-Ray Science and Technology,
Journal Year:
2024,
Volume and Issue:
32(3), P. 513 - 528
Published: Feb. 23, 2024
OBJECTIVES:
To
evaluate
the
performance
of
deep
learning
image
reconstruction
(DLIR)
algorithm
in
dual-energy
spectral
CT
(DEsCT)
as
a
function
radiation
dose
and
energy
level,
comparison
with
filtered-back-projection
(FBP)
adaptive
statistical
iterative
reconstruction-V
(ASIR-V)
algorithms.
METHODS:
An
ACR464
phantom
was
scanned
DEsCT
at
four
levels
(3.5
mGy,
5
7.5
10
mGy).
Virtual
monochromatic
images
were
reconstructed
five
(40
keV,
50
68
74
140
keV)
using
FBP,
50%
100%
ASIR-V,
DLIR
low
(DLIR-L),
medium
(DLIR-M),
high
(DLIR-H)
settings.
The
noise
power
spectrum
(NPS),
task-based
transfer
(TTF)
detectability
index
(d’)
computed
compared
among
reconstructions.
RESULTS:
NPS
area
increased
keV
decreased,
having
slower
increase
than
FBP
DLIR-H
lowest
values.
had
best
40
keV/140
ratio
various
levels,
showed
higher
TTF
(50%)
ASIR-V
for
all
materials,
especially
soft
tissue-like
polystyrene
insert,
DLIR-M
provided
d’
DLIR-L,
levels.
As
increases,
acrylic
3.5
mGy
(7.39
8.79,
respectively)
that
(7.20)
ASIR-V50%
mGy.
CONCLUSIONS:
provides
better
containment
TTF(50%)
insert
over
ASIR-V.
has
highest
show
potential
65%
reduction
withhigher
d’.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: July 29, 2024
Abstract
Few
reports
have
documented
how
the
accuracy
of
stopping
power
ratio
(SPR)
prediction
for
porous
bone
tissue
affects
dose
distribution
scanned
carbon-ion
beam
therapy.
The
estimated
SPR
based
on
single-energy
computed
tomography
(SECT)
and
dual-energy
CT
(DECT)
were
compared
femur
a
Rando
phantom
which
simulates
porosity
human
bone,
NEOBONE
is
hydroxyapatite
synthetic
substitute,
soft
samples.
Dose
differences
between
SECT
DECT
evaluated
therapy
treatment
plan
phantom.
difference
in
water
equivalent
length
was
measured
to
extract
examined
from
DECT-SPR
conversion
small
with
−
1.8%
3.3%
NEOBONE,
respectively,
whereas
SECT-SPR
7.6
70.7%,
illustrating
1.5-mm
shift
range
13.3%
at
maximum
point
evaluation
distribution.
This
study
demonstrated
that
method
better
tissues
than
followed
by
accurate
beams
calculations.
Applied Sciences,
Journal Year:
2023,
Volume and Issue:
13(4), P. 2666 - 2666
Published: Feb. 19, 2023
A
significant
gap
in
the
known
methods
for
assessing
levels
of
metal
artifacts
X-ray
computed
tomography
and
approaches
to
their
reduction
is
an
almost
complete
disregard
physical
nature
this
artifact—the
proximity
zero
radioscopic
transparency.
The
proposed
work
fills
gap.
mathematical
model
has
been
developed
evaluating
as
applied
geometry
a
parallel
beam.
simulation
was
transformed
into
algorithm,
Mathcad
program
designed
simulate
images
internal
structure
test
objects.
algorithm
estimating
studied
artifact
includes
stages
generating
sinograms
distributions
linear
coefficient
over
sections
object
based
on
back
projection
method
with
filtering.
efficiency
demonstrated
example
symmetric
asymmetric
objects
low-
high-density
inclusions
from
materials
high
atomic
number
values.
possibility
reducing
help
rational
choice
maximum
energy
radiation
ADC
bit
depth
illustrated.
For
example,
aluminum
cylinder
200
mm
diameter
central
cylindrical
cavity
80
diameter,
inserts
12
material
densities
1.5
g/cm3
10
g/cm3,
effective
numbers
13
47,
numerical
proved
following:
it
practically
unattainable
significantly
reduce
level
by
increasing
capacity
160
keV;
desired
effect
achieved
simultaneously
225
keV
24
or
32;
leads
increase
absorbed
26%.
results
research
can
be
used
at
design
stage
systems
control
fragments
low
Applied Sciences,
Journal Year:
2023,
Volume and Issue:
13(13), P. 7653 - 7653
Published: June 28, 2023
Dual-energy
computed
tomography
(DECT)
is
a
medical
imaging
technique
that
uses
two
different
energy
levels
of
X-rays
to
provide
more
detailed
information
about
the
composition
tissues
and
materials
within
body.
DECT
technology
still
relatively
new
but
applications
have
been
developed
for
urological
field.
For
example,
it
can
be
used
analyze
stones
determine
whether
they
are
likely
made
up
calcium
oxalate,
uric
acid,
or
other
minerals.
This
help
guide
treatment
decisions,
as
types
may
require
approaches
treatment.
The
availability
iodine
maps
helps
differentiation
between
benign
malignant
tumors
urinary
tract,
including
bladder,
kidneys,
ureters.
generated
by
on
tumor
vascularity,
which
in
staging
determining
aggressiveness
tumor.
assess
blood
flow
kidneys
detect
vascular
disorders
such
renal
artery
stenosis
aneurysms.
critical
early
detection
management
these
disorders,
reduce
risk
failure
improve
outcomes.
valuable
tool
field
clinicians
with
accurate
diagnosis
planning
various
conditions.
In
this
narrative
review,
we
propose
an
overview
possible
application
diseases.
Dual-energy
CT
(DECT)
imaging
has
broadened
the
potential
of
by
offering
multiple
postprocessing
datasets
with
a
single
acquisition
at
more
than
one
energy
level.
DECT
shows
profound
capabilities
to
improve
diagnosis
based
on
its
superior
material
differentiation
and
quantitative
value.
However,
dual
remains
relatively
untapped,
possibly
due
intricate
workflow
intrinsic
technical
limitations
DECT.
Knowing
clinical
advantages
dual-energy
recognizing
pitfalls
is
neces-sary
for
an
appropriate
use.
The
aims
this
paper
are
review
physical
basis
analysis,
discuss
in
dif-ferent
scenarios,
constraints
labeling
quantification,
evaluate
cutting-edge
applications
imaging,
including
artificial
intelligence,
qualitative
biomarkers,
DECT-derived
radiomics
radioge-nomics
