Medical Physics,
Journal Year:
2024,
Volume and Issue:
52(2), P. 1045 - 1057
Published: Nov. 4, 2024
Diffuse
optical
tomography
(DOT)
provides
three-dimensional
image
reconstruction
of
chromophore
perturbations
within
a
turbid
volume.
Two
leading
strategies
to
optimize
DOT
quality
include,
(i)
arrays
regular,
interlacing,
high-density
(HD)
grids
sources
and
detectors
with
closest
spacing
less
than
15
mm,
or
(ii)
source
modulated
light
order
∼100
MHz.
However,
the
general
principles
for
how
these
crucial
design
parameters
array
density
modulation
frequency
may
interact
provide
an
optimal
system
have
yet
be
elucidated.
Herein,
we
systematically
evaluated
effect
via
multiple
key
metrics.
Specifically,
simulated
32
designs
realistic
measurement
noise
quantified
localization
error,
spatial
resolution,
signal-to-noise,
depth
field
each
∼85
000
point
spread
functions
in
model.
We
found
that
had
far
stronger
on
metrics
frequency.
Additionally,
model
fits
revealed
potential
improvements
diminish
regular
denser
9
mm
spacing.
Further,
given
density,
300
MHz
provided
deepest
reliable
imaging
compared
other
frequencies.
Our
results
indicate
both
affect
sampling
tissue,
which
asymptotically
saturates
due
photon
diffusivity
In
summary,
our
comprehensive
perspectives
optimizing
future
applications
from
wearable
functional
brain
breast
tumor
detection.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(3), P. 908 - 908
Published: Feb. 3, 2025
Cerebral
blood
volume
(CBV)
is
an
essential
metric
that
indicates
and
evaluates
various
healthy
pathologic
conditions.
Most
methods
of
CBV
measurement
are
cumbersome
have
a
poor
temporal
resolution.
Recently,
it
has
been
proposed
signals
derived
metrics
from
cerebral
near-infrared
spectroscopy
(NIRS),
non-invasive
sensor,
can
be
used
to
estimate
CBV.
However,
this
association
remains
vastly
unexplored.
As
such,
scoping
review
aimed
examine
the
literature
on
relationship
between
NIRS
A
search
six
databases
was
conducted
conforming
Preferred
Reporting
Items
for
Systematic
Reviews
Meta-Analyses
guidelines
assess
following
question:
What
associations
CBV?
The
database
yielded
3350
unique
results.
Seven
these
articles
were
included
in
based
inclusion
exclusion
criteria.
An
additional
study
identified
while
examining
articles’
reference
sections.
Overall,
systematic
shows
extreme
variation
CBV,
with
few
sources
objectively
documenting
true
statistical
two.
This
highlights
current
critical
knowledge
gap
emphasizes
need
further
research
area.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 21, 2025
We
report
a
method
to
directly
3-D
print
complex
heterogeneous
optical
phantoms
with
programmable
tissue-mimicking
absorption
and
scattering
properties.
The
proposed
approach
utilizes
commercially
available
multi-color
mixing
extruders
off-the-shelf
polylactic
acid
filaments,
making
this
technique
low-cost
broadly
accessible.
systematically
characterized
properties,
including
both
reduced
coefficients,
at
wide
range
of
ratios
gray,
white,
translucent
filaments
validated
our
hypothesis
linear-mixing
model
between
the
filament
resulting
Various
techniques
were
used
design
fabricate
sophisticated
solid
phantoms,
color-purging
towers,
optimization
several
printing
parameters
improve
quality.
To
demonstrate
feasibility
for
generating
anatomically
tunable
properties
within
tissue-relevant
ranges,
we
designed
fabricated
three
phantoms.
One
presented
was
specifically
support
quality
assurance
efforts
in
evaluating
diffuse
optics
instruments
methodologies
across
various
institutions.
have
printed
observed
an
average
error
12%–15%
compared
model-predicted
values.
Future
studies
will
target
usage
additional
materials
expand
potential
imaging
applications.
Neurophotonics,
Journal Year:
2023,
Volume and Issue:
10(02)
Published: June 5, 2023
Combining
diffuse
correlation
spectroscopy
(DCS)
and
near-infrared
(NIRS)
permits
simultaneous
monitoring
of
multiple
cerebral
hemodynamic
parameters
related
to
autoregulation;
however,
interpreting
these
optical
measurements
can
be
confounded
by
signal
contamination
from
extracerebral
tissue.We
aimed
evaluate
in
NIRS/DCS
data
acquired
during
transient
hypotension
assess
suitable
means
separating
scalp
brain
signals.A
hybrid
time-resolved
NIRS/multidistance
DCS
system
was
used
simultaneously
acquire
oxygenation
blood
flow
orthostatic
induced
rapid-onset
lower
body
negative
pressure
(LBNP)
nine
young,
healthy
adults.
Changes
microvascular
were
verified
against
changes
middle
artery
velocity
(MCAv)
measured
transcranial
Doppler
ultrasound.LBNP
significantly
decreased
arterial
(-18%±14%),
(>30%),
tissue
(all
p≤0.04
versus
baseline).
However,
implementing
depth-sensitive
techniques
for
both
NIRS
indicated
that
LBNP
did
not
alter
relative
their
baseline
values
p≥0.14).
In
agreement,
there
no
significant
reduction
MCAv
(8%±16%;
p=0.09).Transient
caused
larger
the
compared
brain.
We
demonstrate
importance
accounting
within
measures
hemodynamics
physiological
paradigms
designed
test
autoregulation.
Abstract
A
comparative
application
of
major
dynamic
light
scattering
(DLS)‐based
image
methodologies
applied
to
transcranial
cerebral
blood
flow
imaging
is
presented.
In
particular,
the
study
delves
into
assessing
capability
Laser
Doppler
Flowmetry
(LDF),
Speckle
Contrast
Imaging
(LSCI),
and
Diffuse
Correlation
Spectroscopy
(DCS)
in
enhancing
spatial
temporal
resolution
imaging.
An
integral
part
focused
on
modulation
through
administration
vasodilator
drug,
Sodium
Nitroprusside
(SNP).
This
pharmacological
intervention
facilitated
a
direct
observation
vasculature's
responsiveness
external
stimuli,
illuminating
physiological
adaptations
within
brain's
microvascular
architecture.
Advanced
LSCI
processing
techniques
are
incorporated,
notably
entropy
principal
component
analysis
(PCA).
Entropy
providing
quantifiable
measure
randomness
complexity
speckle
patterns
images,
revealing
remarkably
similar
outcomes
with
DSC
approach
terms
dynamics
its
quantitative
evaluation.
The
PCA
provided
more
nuanced
understanding
dynamics,
facilitating
identification
subtle
changes
induced
by
drug
administration.
method
proved
instrumental
visualization
detection
thereby
allowing
for
detailed
examination
circulation
alterations
SNP
seeks
offer
wider‐ranging
insight
comprehending
translating
further
concept
DLS
transcrainial
vizualization
explore
practical
applications,
considering
hardware,
advanced
processing,
data
acquisition.
Neurophotonics,
Journal Year:
2023,
Volume and Issue:
10(02)
Published: July 6, 2023
Functional
Near-Infrared
Spectroscopy
(fNIRS)
is
a
non-invasive
optical
technique
that
measures
cerebral
hemodynamics
across
multiple
regions
of
interest,
and
thereby
characterises
brain
functional
activation.
Since
its
first
description
in
1993,
fNIRS
has
undergone
substantial
developments
hardware,
analysis
techniques,
applications.
Thirty
years
later,
this
significantly
enchancing
our
understanding
diverse
areas
neuroscience
research
such
as
neurodevelopment,
cognitive
neuroscience,
psychiatric
disorders,
neurodegenerative
conditions,
injury
management
intensive
care
settings.
This
special
issue
outlines
the
latest
progress
instrumentation
techniques
showcases
some
applications
within
expanding
field
over
past
decade.
Biomedical Optics Express,
Journal Year:
2024,
Volume and Issue:
15(11), P. 6499 - 6499
Published: Sept. 2, 2024
We
present
ATLAS,
a
512
×
single-photon
avalanche
diode
(SPAD)
array
with
embedded
autocorrelation
computation,
implemented
in
3D-stacked
CMOS
technology,
suitable
for
correlation
spectroscopy
applications,
including
diffuse
(DCS).
The
shared
per-macropixel
SRAM
architecture
provides
128
macropixel
resolution,
parallel
minimum
lag-time
of
1
µs.
demonstrate
the
direct,
on-chip
computation
function
sensor,
and
its
capability
to
resolve
changes
decorrelation
times
typical
body
tissue
real
time,
at
long
source-detector
separations
similar
those
achieved
by
current
leading
optical
modalities
cerebral
blood
flow
monitoring.
Finally,
we
suitability
in-vivo
measurements
through
cuff-occlusion
forehead
cardiac
signal
measurements.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(23), P. 9338 - 9338
Published: Nov. 22, 2023
Diffuse
correlation
spectroscopy
is
a
non-invasive
optical
modality
used
to
measure
cerebral
blood
flow
in
real
time,
and
it
has
important
potential
applications
clinical
monitoring
neuroscience.
As
such,
many
research
groups
have
recently
been
investigating
methods
improve
the
signal-to-noise
ratio,
imaging
depth,
spatial
resolution
of
diffuse
spectroscopy.
Such
included
multispeckle,
long
wavelength,
interferometric,
depth
discrimination,
time-of-flight
resolution,
acousto-optic
detection
strategies.
In
this
review,
we
exhaustively
appraise
plethora
recent
advances,
which
can
be
assess
limitations
guide
innovation
for
future
implementations
that
will
harness
technological
improvements
years
come.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 27, 2024
Diffuse
correlation
spectroscopy
(DCS)
is
an
optical
method
that
offers
non-invasive
assessment
of
blood
flow
in
tissue
through
the
analysis
intensity
fluctuations
diffusely
backscattered
coherent
light.
The
nature
technique
has
enabled
several
clinical
applications
for
deep
measurements,
including
cerebral
monitoring
as
well
tumor
mapping.
While
a
promising
technique,
measurement
configurations
targeting
hemodynamics,
standard
DCS
implementations
suffer
from
insufficient
signal-to-noise
ratio
(SNR),
depth
sensitivity,
and
sampling
rate,
limiting
their
utility.
In
this
work,
we
present
enhanced
called
pathlength-selective,
interferometric
(PaLS-iDCS),
which
improves
upon
both
sensitivity
to
hemodynamics
SNR
using
pathlength-specific
gain.
Through
detection,
PaLS-iDCS
can
provide
time-of-flight
(ToF)
specific
information
without
use
expensive
time-tagging
electronics
low-jitter
detectors.
new
compared
time-domain
(TD-DCS),
another
able
resolve
photon
ToF
tissue,
Monte
Carlo
simulation,
phantom
experiments,
human
subject
measurements.
consistently
demonstrates
improvements
(>2x)
similar
conditions
(same
ToF),
allow
measurements
at
extended
ToFs,
have
increased
(~50%
increase).
Further,
like
TD-DCS,
allows
direct
estimation
properties
sampled
distribution
need
separate
spectroscopic
measurement.
This
relatively
straightforward
way
systems
make
robust
with
greatly
enabling
further
technology.
Biomedical Optics Express,
Journal Year:
2024,
Volume and Issue:
15(9), P. 5511 - 5511
Published: Aug. 13, 2024
We
introduce
a
frequency-domain
modified
Beer-Lambert
algorithm
for
diffuse
correlation
spectroscopy
to
non-invasively
measure
flow
pulsatility
and
thus
critical
closing
pressure
(CrCP).
Using
the
same
optical
measurements,
CrCP
was
obtained
with
new
traditional
nonlinear
diffusion
fitting.
Results
were
compared
invasive
determination
of
intracranial
(ICP)
in
piglets
(n
=
18).
The
better
predicted
ICP
elevations;
area
under
curve
(AUC)
from
logistic
regression
analysis
0.85
≥
20
mmHg.
corresponding
AUC
0.60.
Improved
diagnostic
performance
likely
results
filtering
extra-cerebral
tissue
contamination
measurement
noise.