SlideShare a Scribd company logo
1 of 25
Photoacoustics
Jung-Eun Park
• Introduction
• Photoacoustic Effect
• Photacoustic Equation
• Solution of Photoacoustic equation
Outline
Classification of photoacoustic tomography
Image
formation
reconstruction
Acoustic lens
Spatial
resolution
Macroscopic
Microscopic
Number of
elements
Single
elements
Array
Imaging
contrast
Anatomical
Functional
Metabolic
Molecular
Histologic
Probe size
Table-top
Hand-held
Endoscopic
Intravascular
Image
dimensions
1D
2D
3D
Sensitivity of photoacoustic microscopy, Junjie Yao, Lihong V. Wang , 2014, Elsevier GmbH
Intoduction
Photacoustic Effect
pulsed laser beam
absorber
tissue
transducer
photoacoustic signal
Thermal relaxation time
𝝉 𝒕𝒉 =
𝒅 𝒄
𝟐
𝟒𝜶 𝒕𝒉
Stress relaxation time
𝝉 𝒔 =
𝒅 𝒄
𝒗 𝒔
where 𝜶 𝒕𝒉 : the thermal diffusivity ( 𝑚2
𝑠 )
𝒅 𝒄 : the characteristic dimension
of the heated region
𝒗 𝒔 : the speed of sound (~1480 𝑚∕𝑠 )
Photoacousticeffect
𝒂𝒅𝒊𝒂𝒃𝒂𝒕𝒊𝒄 𝒑𝒓𝒐𝒄𝒆𝒔𝒔
Typical properties of soft tissue (example)
For 𝑑 𝑐 = 15𝑐𝑚
𝝉 𝒕𝒉 =
𝒅 𝒄
𝟐
𝟒𝜶 𝒕𝒉
=
(0.15 𝑚)2
4 × 0.14 × 10−6 𝑚2 𝑠
= 𝟒𝟎 𝒌𝒔
For 𝑑 𝑐 = 150𝜇𝑚
𝝉 𝒕𝒉 =
𝒅 𝒄
𝟐
𝟒𝜶 𝒕𝒉
=
(150 × 10−6 𝑚)2
4 × 0.14 𝑚𝑚2 𝑠
= 𝟒𝟎 × 𝟏𝟎−𝟑 𝒔 = 𝟒𝟎 𝒎𝒔
𝝉 𝒔 =
𝒅 𝒄
𝒗 𝒔
=
0.15 𝑚
1500 𝑚 𝑠
= 𝟎. 𝟏 𝒎𝒔 𝝉 𝒔 =
𝒅 𝒄
𝒗 𝒔
=
150 × 10−6
𝑚
1500 𝑚 𝑠
= 𝟎. 𝟏 𝝁𝒔
= 𝟏𝟎𝟎 𝒏𝒔
Photoacousticeffect
Biomedical Optics Principles and Imaging, Lihong V. Wang, Hsin-I Wu , 2006 (Wiley-Interscience)
Maxwell relations and Euler’s cycle
Where U(S, V) : the internal energy
H(S, P) : Enthalpy
F(T, V) : Helmholtz free energy
G(T, P) : Gibbs free energy
S : entropy
V : volume
P : pressure
T : temperature
Photoacousticeffect
compressibility
Coefficient of
thermal
expansion
Specific heat capacities and Compressibilities
The following relations are drove from
Energy conservation ( 𝐸𝑠𝑦𝑠 = 𝑄 − 𝑊) with
internal energy(U) and enthalpy(H)
𝜿 𝒔 =
𝑪 𝑽
𝑪 𝑷
𝜿 𝑻
𝜿 𝒂𝒅 = −
𝟏
𝑽
(
𝝏𝑽
𝝏𝑷
) 𝒂𝒅 = −
𝟏
𝑽
(
𝝏𝑽
𝝏𝑷
) 𝒔 = 𝜿 𝒔(𝒊𝒔𝒆𝒏𝒕𝒓𝒐𝒑𝒊𝒄)
When the system satisfy the following conditions
1. 𝜹𝑸 = 𝟎
2. 𝑹𝒆𝒗𝒆𝒓𝒔𝒊𝒃𝒍𝒆 𝒔𝒚𝒔𝒕𝒆𝒎
Because 𝑑𝑆 ≡ (
𝜹𝑸
𝑻
) 𝒓𝒆𝒗
𝜿 𝑻 = −
𝟏
𝑽
(
𝝏𝑽
𝝏𝑷
) 𝑻
𝜹𝑸 = 𝝏𝑼 + 𝑷𝝏𝑽
𝑪 𝑽 = (
𝜹𝑸
𝝏𝑻
) 𝑽 = (
𝝏𝑼
𝝏𝑻
) 𝑽
𝜹𝑸 = 𝝏𝑯 − 𝑽𝝏P
𝑪 𝑷 = (
𝜹𝑸
𝝏𝑻
) 𝑷 = (
𝝏𝑯
𝝏𝑻
) 𝑷
Photoacousticeffect
Speed of sound Volume expansion
The correct formula for the speed of sound
𝑽 𝒔𝒐𝒖𝒏𝒅 =
𝟏
𝝆𝑲 𝒔
=
𝟏
𝝆
𝑪 𝑽
𝑪 𝑷
𝜿 𝑻
𝜿 𝑻 =
𝑪 𝑷
𝝆𝒗 𝒔
𝟐
𝑪 𝑽
Where 𝝆 : the mass density
(~ 1000 𝑘𝑔 𝑚3
for water and soft tissue)
𝑪 𝑷: the specific heat capacity at constant pressure
𝑪 𝑽: the specific heat capacity at constant volume
(~4000 𝐽 𝑘𝑔 𝐾 for muscle)
𝒅𝑽
𝑽
=
1
𝑉
[(
𝜕𝑉
𝜕𝑃
) 𝑇 𝑑𝑃 + (
𝜕𝑉
𝜕𝑇
) 𝑃 𝑑𝑇]
= −𝜿𝒑 + 𝜷𝑻
where 𝜿 : the isothermal compressibility (= 𝜿 𝑻)
(~5 × 10−10
𝑃𝑎−1
for water or soft tissue)
𝜷 : the thermal coefficient of volume expansion
(~ 4 × 10−4
𝐾−1
for muscle) (isobaric)
𝒑 : the changes in pressure (Pa)
𝑻 : the changes in temperature (K)
Photoacousticeffect
Local pressure rising (the initial pressure)
𝑷 𝟎 =
𝜷 𝑻
𝜿
=
𝜷
𝜿𝝆𝑪 𝑽
𝜼𝒕𝒉 𝑨 𝒆
where 𝑨 𝒆: the specific optical absorption (𝐽/𝑚3
)
𝜼𝒕𝒉: the percentage that is converted into heat
Photoacousticeffect
𝚪 =
𝜷
𝜿𝝆𝑪 𝑽
=
𝜷 𝒗 𝒔
𝟐
𝑪 𝑷
Grueneisen parameter (dimensionless)
𝑷 𝟎 = 𝚪𝜼𝒕𝒉 𝑨 𝒆 = 𝚪𝜼𝒕𝒉 𝝁 𝒂 𝑭
Where 𝝁 𝒂 : the optical absorption coefficient (1/𝑚)
𝑭 : the optical fluence (𝐽/𝑚2
)
Grueneisen parameter (dimensionless)
𝚪 =
𝜷
𝜿𝝆𝑪 𝑽
=
𝜷 𝒗 𝒔
𝟐
𝑪 𝑷
𝜦 𝝀 =
𝑨
𝑭
= 𝜶𝜞𝝁 𝒂(𝝀)
Photoacoustic measurement of the Gruneisen parameter of tissue, Da-Kan Yao, Lihong V. Wang, et al. , 2014, DOI: 10.1117/1, JBO
Temperature mapping using photoacoustic and thermoacoustic tomography, Haixin Ke, Lihong V. Wang, et al, 2012, DOI: 10.1117/12.909000, Proc. SPIE 8223
Grueneisen parameter can be measured from the signal amplitude (𝛬 𝜆 )
where 𝑨 : the peak-to-peak voltage amplitude
𝑭 : the light fluency
𝜶 : calibration factor,
which depends on the central frequency
of the transducer 𝜔0
22℃
Lipid 0.69±0.02
Fat tissue 0.81±0.05
Serum 0.132±0.002
Blood 0.124+0.000333𝐶 𝐻𝑏02
Beef muscle 0.15 (22℃)
0.21 (37℃)
Photoacousticeffect
Pressure rising with the temperature (example)
For F = 10 𝑚𝐽/𝑐𝑚2, 𝜇 𝑎 = 0.1 𝑐𝑚−1, 𝜂 𝑡ℎ = 1
𝑨 𝒆 = 𝟎. 𝟏 𝒄𝒎−𝟏 × 𝟏𝟎 𝒎𝑱 𝒄𝒎 𝟐 = 𝟏 𝒎𝑱 𝒄𝒎 𝟑
𝑻 =
𝑨 𝒆
𝝆𝑪 𝑽
=
𝟏 𝒎𝑱 𝒄𝒎 𝟑
𝟏 𝒈 𝒄𝒎 𝟑 × 𝟒 𝑱𝒈−𝟏 𝑲−𝟏
= 𝟎. 𝟐𝟓 𝒎𝑲
Biomedical Optics Principles and Imaging, Lihong V. Wang, Hsin-I Wu , 2006 (Wiley-Interscience)
In case of lipid,
𝑷 𝟎 = 𝚪𝜼 𝒕𝒉 𝑨 𝒆 = 𝟎. 𝟔𝟗 × 𝟏𝟎 𝒎𝒃𝒂𝒓
= 𝟔. 𝟗 𝒎𝒃𝒂𝒓 (= 𝟔𝟗𝟎 𝑷𝒂)
In case of fat tissue,
𝑷 𝟎 = 𝚪𝜼 𝒕𝒉 𝑨 𝒆 = 𝟎. 𝟖𝟏 × 𝟏𝟎 𝒎𝒃𝒂𝒓
= 𝟖. 𝟏 𝒎𝒃𝒂𝒓 (= 𝟖𝟏𝟎 𝑷𝒂)
In case of blood with 110 mg/ml,
𝑷 𝟎 = 𝚪𝜼 𝒕𝒉 𝑨 𝒆 = 𝟎. 𝟏𝟔 × 𝟏𝟎 𝒎𝒃𝒂𝒓
= 𝟏. 𝟔 𝒎𝒃𝒂𝒓 (= 𝟏𝟔𝟎 𝑷𝒂)
Photoacousticeffect
For F = 20 𝑚𝐽/𝑐𝑚2
, 𝜇 𝑎 = 0.1 𝑐𝑚−1
, 𝜂 𝑡ℎ = 1
𝑨 𝒆 = 𝟎. 𝟏 𝒄𝒎−𝟏
× 𝟐𝟎 𝒎𝑱 𝒄𝒎 𝟐
= 𝟐 𝒎𝑱 𝒄𝒎 𝟑
𝑻 =
𝑨 𝒆
𝝆𝑪 𝑽
=
𝟐 𝒎𝑱 𝒄𝒎 𝟑
𝟏 𝒈 𝒄𝒎 𝟑 × 𝟒 𝑱𝒈−𝟏 𝑲−𝟏
= 𝟎. 𝟓 𝒎𝑲
Two equations to derive PA equation
Photoacousticequation
Internal forces
Stress
Strain
Displacement
Size & shape
change
Displacement
Strain
Stress
Internal forces
Material properties
Stress-to-strain relation
Two equations to derive PA equation
Photoacousticequation
General Photoacoustic equation
The wave propagation The source term
Photoacousticequation
Photoacousticequation
Acoustic wave equation
Photoacousticequation
Acoustic wave equation
Photoacousticequation
Acoustic wave equation
Source term representation
(source term)
From the heat equation
Photoacousticequation
General Green’s function for inhomogeneous eq.
SolutionofPhotoacousticequation
General solution of the PA equation
.
.
SolutionofPhotoacousticequation
Initial condition
Source
Boundary condition
Green’s function approach
SolutionofPhotoacousticequation
This integration has discontinuities at 𝑘 = ±𝜔/𝑣𝑠,
but it can be evaluated by Cauchy’s contour integration
and it also has to be analyzed in spherical coordinate
since the wave is the spherical wave.
Green’s function approach by Cauchy contour integration
SolutionofPhotoacousticequation
Green’s function approach in spherical coordinates
SolutionofPhotoacousticequation
SolutionofPhotoacousticequation
General solution of the PA equation
Limitations of the solution
• We cannot say that photoacoustic equation is an adjoint problem
• Tissue is heterogeneous and has viscosity, elasticity and so on
• Actually, Green’s function has the physical meaning as the response of a
point absorber to step heating, rather than impulse heating
Next works..
• Understand the solution in case of array imaging system
• Transform the solution using Numerical analysis with several examples

More Related Content

What's hot

What's hot (20)

phosphroscene
phosphroscenephosphroscene
phosphroscene
 
Rotational spectra
Rotational spectra   Rotational spectra
Rotational spectra
 
Ion beam for material analysis(IBA)-RBS-CHANNELING
Ion beam for material analysis(IBA)-RBS-CHANNELINGIon beam for material analysis(IBA)-RBS-CHANNELING
Ion beam for material analysis(IBA)-RBS-CHANNELING
 
Mossbauer spectrosopy sujith
Mossbauer spectrosopy   sujithMossbauer spectrosopy   sujith
Mossbauer spectrosopy sujith
 
Lasers introduction and explanation
Lasers introduction and explanation Lasers introduction and explanation
Lasers introduction and explanation
 
Laser spectroscopy
Laser spectroscopyLaser spectroscopy
Laser spectroscopy
 
Laser linewidth measurement
Laser linewidth measurementLaser linewidth measurement
Laser linewidth measurement
 
Lecture 04; spectral lines and broadening by Dr. Salma Amir
Lecture 04; spectral lines and broadening by Dr. Salma AmirLecture 04; spectral lines and broadening by Dr. Salma Amir
Lecture 04; spectral lines and broadening by Dr. Salma Amir
 
Laser ii 3 ppt
Laser ii 3 pptLaser ii 3 ppt
Laser ii 3 ppt
 
Dfb
DfbDfb
Dfb
 
White Light Upconversion Emissions
White Light Upconversion EmissionsWhite Light Upconversion Emissions
White Light Upconversion Emissions
 
Non linear optics and SHG
Non linear optics and SHGNon linear optics and SHG
Non linear optics and SHG
 
Photolumimiscence spectroscopy
Photolumimiscence spectroscopyPhotolumimiscence spectroscopy
Photolumimiscence spectroscopy
 
LASER SPECTROSCOPY
LASER SPECTROSCOPYLASER SPECTROSCOPY
LASER SPECTROSCOPY
 
Raman spectroscopy
Raman spectroscopyRaman spectroscopy
Raman spectroscopy
 
Optical detectors details and technologies with formulas
Optical detectors details and technologies with formulasOptical detectors details and technologies with formulas
Optical detectors details and technologies with formulas
 
Adaptive analog beamforming
Adaptive analog beamformingAdaptive analog beamforming
Adaptive analog beamforming
 
Photoluminescence
PhotoluminescencePhotoluminescence
Photoluminescence
 
Active methods of neutron detection
Active methods of neutron detectionActive methods of neutron detection
Active methods of neutron detection
 
Raman spectroscpy presentation by zakia afzal
Raman spectroscpy presentation by zakia afzalRaman spectroscpy presentation by zakia afzal
Raman spectroscpy presentation by zakia afzal
 

Similar to Photoacoustics

Application of Shehu Transform to Mechanics, Newton’s Law Of Cooling and Ele...
	Application of Shehu Transform to Mechanics, Newton’s Law Of Cooling and Ele...	Application of Shehu Transform to Mechanics, Newton’s Law Of Cooling and Ele...
Application of Shehu Transform to Mechanics, Newton’s Law Of Cooling and Ele...
IJSRED
 
Why radiodetection of UHECR still matters ? Karlsruhe Institute of Technol...
Why radiodetection of UHECR still matters ?    Karlsruhe Institute of Technol...Why radiodetection of UHECR still matters ?    Karlsruhe Institute of Technol...
Why radiodetection of UHECR still matters ? Karlsruhe Institute of Technol...
Ahmed Ammar Rebai PhD
 

Similar to Photoacoustics (20)

Ultrasonic Absorption Technique.pptx
Ultrasonic Absorption Technique.pptxUltrasonic Absorption Technique.pptx
Ultrasonic Absorption Technique.pptx
 
Theory of machines.pdf
Theory of machines.pdfTheory of machines.pdf
Theory of machines.pdf
 
WavesStatistics.pdf
WavesStatistics.pdfWavesStatistics.pdf
WavesStatistics.pdf
 
The CHE Data Book - KFUPM.pdf
The CHE Data Book - KFUPM.pdfThe CHE Data Book - KFUPM.pdf
The CHE Data Book - KFUPM.pdf
 
Equations_3_Industrial Instrumentation - Temperature & Level Measurement Impo...
Equations_3_Industrial Instrumentation - Temperature & Level Measurement Impo...Equations_3_Industrial Instrumentation - Temperature & Level Measurement Impo...
Equations_3_Industrial Instrumentation - Temperature & Level Measurement Impo...
 
METEORITE SHOOTING AS A DIFFUSION PROBLEM
METEORITE SHOOTING AS A DIFFUSION PROBLEMMETEORITE SHOOTING AS A DIFFUSION PROBLEM
METEORITE SHOOTING AS A DIFFUSION PROBLEM
 
Destructive Fermi Resonance in 2D Harmoinc Oscillator
Destructive Fermi Resonance in 2D Harmoinc OscillatorDestructive Fermi Resonance in 2D Harmoinc Oscillator
Destructive Fermi Resonance in 2D Harmoinc Oscillator
 
Higher-Order Squeezing of a Generic Quadratically-Coupled Optomechanical System
Higher-Order Squeezing of a Generic Quadratically-Coupled Optomechanical SystemHigher-Order Squeezing of a Generic Quadratically-Coupled Optomechanical System
Higher-Order Squeezing of a Generic Quadratically-Coupled Optomechanical System
 
Duel of cosmological screening lengths
Duel of cosmological screening lengthsDuel of cosmological screening lengths
Duel of cosmological screening lengths
 
(SNF 2019) The Study of Determining the Optimum Fluidization Velocity in Bina...
(SNF 2019) The Study of Determining the Optimum Fluidization Velocity in Bina...(SNF 2019) The Study of Determining the Optimum Fluidization Velocity in Bina...
(SNF 2019) The Study of Determining the Optimum Fluidization Velocity in Bina...
 
An Introduction to Microwave Imaging
An Introduction to Microwave ImagingAn Introduction to Microwave Imaging
An Introduction to Microwave Imaging
 
lec2.ppt
lec2.pptlec2.ppt
lec2.ppt
 
Application of Shehu Transform to Mechanics, Newton’s Law Of Cooling and Ele...
	Application of Shehu Transform to Mechanics, Newton’s Law Of Cooling and Ele...	Application of Shehu Transform to Mechanics, Newton’s Law Of Cooling and Ele...
Application of Shehu Transform to Mechanics, Newton’s Law Of Cooling and Ele...
 
Dynamic Response Of A Vibrating Structure To Sinusoidal Excitation
Dynamic Response Of A Vibrating Structure To Sinusoidal ExcitationDynamic Response Of A Vibrating Structure To Sinusoidal Excitation
Dynamic Response Of A Vibrating Structure To Sinusoidal Excitation
 
Chapter 2 lecture 1 mechanical vibration
Chapter 2  lecture 1 mechanical vibrationChapter 2  lecture 1 mechanical vibration
Chapter 2 lecture 1 mechanical vibration
 
Engineering Physics
Engineering Physics Engineering Physics
Engineering Physics
 
Photochemistry
PhotochemistryPhotochemistry
Photochemistry
 
Lecture 3 sapienza 2017
Lecture 3 sapienza 2017Lecture 3 sapienza 2017
Lecture 3 sapienza 2017
 
PPTv2 (3).pptx
PPTv2 (3).pptxPPTv2 (3).pptx
PPTv2 (3).pptx
 
Why radiodetection of UHECR still matters ? Karlsruhe Institute of Technol...
Why radiodetection of UHECR still matters ?    Karlsruhe Institute of Technol...Why radiodetection of UHECR still matters ?    Karlsruhe Institute of Technol...
Why radiodetection of UHECR still matters ? Karlsruhe Institute of Technol...
 

Recently uploaded

Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 

Recently uploaded (20)

Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 

Photoacoustics

  • 2. • Introduction • Photoacoustic Effect • Photacoustic Equation • Solution of Photoacoustic equation Outline
  • 3. Classification of photoacoustic tomography Image formation reconstruction Acoustic lens Spatial resolution Macroscopic Microscopic Number of elements Single elements Array Imaging contrast Anatomical Functional Metabolic Molecular Histologic Probe size Table-top Hand-held Endoscopic Intravascular Image dimensions 1D 2D 3D Sensitivity of photoacoustic microscopy, Junjie Yao, Lihong V. Wang , 2014, Elsevier GmbH Intoduction
  • 4. Photacoustic Effect pulsed laser beam absorber tissue transducer photoacoustic signal Thermal relaxation time 𝝉 𝒕𝒉 = 𝒅 𝒄 𝟐 𝟒𝜶 𝒕𝒉 Stress relaxation time 𝝉 𝒔 = 𝒅 𝒄 𝒗 𝒔 where 𝜶 𝒕𝒉 : the thermal diffusivity ( 𝑚2 𝑠 ) 𝒅 𝒄 : the characteristic dimension of the heated region 𝒗 𝒔 : the speed of sound (~1480 𝑚∕𝑠 ) Photoacousticeffect 𝒂𝒅𝒊𝒂𝒃𝒂𝒕𝒊𝒄 𝒑𝒓𝒐𝒄𝒆𝒔𝒔
  • 5. Typical properties of soft tissue (example) For 𝑑 𝑐 = 15𝑐𝑚 𝝉 𝒕𝒉 = 𝒅 𝒄 𝟐 𝟒𝜶 𝒕𝒉 = (0.15 𝑚)2 4 × 0.14 × 10−6 𝑚2 𝑠 = 𝟒𝟎 𝒌𝒔 For 𝑑 𝑐 = 150𝜇𝑚 𝝉 𝒕𝒉 = 𝒅 𝒄 𝟐 𝟒𝜶 𝒕𝒉 = (150 × 10−6 𝑚)2 4 × 0.14 𝑚𝑚2 𝑠 = 𝟒𝟎 × 𝟏𝟎−𝟑 𝒔 = 𝟒𝟎 𝒎𝒔 𝝉 𝒔 = 𝒅 𝒄 𝒗 𝒔 = 0.15 𝑚 1500 𝑚 𝑠 = 𝟎. 𝟏 𝒎𝒔 𝝉 𝒔 = 𝒅 𝒄 𝒗 𝒔 = 150 × 10−6 𝑚 1500 𝑚 𝑠 = 𝟎. 𝟏 𝝁𝒔 = 𝟏𝟎𝟎 𝒏𝒔 Photoacousticeffect Biomedical Optics Principles and Imaging, Lihong V. Wang, Hsin-I Wu , 2006 (Wiley-Interscience)
  • 6. Maxwell relations and Euler’s cycle Where U(S, V) : the internal energy H(S, P) : Enthalpy F(T, V) : Helmholtz free energy G(T, P) : Gibbs free energy S : entropy V : volume P : pressure T : temperature Photoacousticeffect compressibility Coefficient of thermal expansion
  • 7. Specific heat capacities and Compressibilities The following relations are drove from Energy conservation ( 𝐸𝑠𝑦𝑠 = 𝑄 − 𝑊) with internal energy(U) and enthalpy(H) 𝜿 𝒔 = 𝑪 𝑽 𝑪 𝑷 𝜿 𝑻 𝜿 𝒂𝒅 = − 𝟏 𝑽 ( 𝝏𝑽 𝝏𝑷 ) 𝒂𝒅 = − 𝟏 𝑽 ( 𝝏𝑽 𝝏𝑷 ) 𝒔 = 𝜿 𝒔(𝒊𝒔𝒆𝒏𝒕𝒓𝒐𝒑𝒊𝒄) When the system satisfy the following conditions 1. 𝜹𝑸 = 𝟎 2. 𝑹𝒆𝒗𝒆𝒓𝒔𝒊𝒃𝒍𝒆 𝒔𝒚𝒔𝒕𝒆𝒎 Because 𝑑𝑆 ≡ ( 𝜹𝑸 𝑻 ) 𝒓𝒆𝒗 𝜿 𝑻 = − 𝟏 𝑽 ( 𝝏𝑽 𝝏𝑷 ) 𝑻 𝜹𝑸 = 𝝏𝑼 + 𝑷𝝏𝑽 𝑪 𝑽 = ( 𝜹𝑸 𝝏𝑻 ) 𝑽 = ( 𝝏𝑼 𝝏𝑻 ) 𝑽 𝜹𝑸 = 𝝏𝑯 − 𝑽𝝏P 𝑪 𝑷 = ( 𝜹𝑸 𝝏𝑻 ) 𝑷 = ( 𝝏𝑯 𝝏𝑻 ) 𝑷 Photoacousticeffect
  • 8. Speed of sound Volume expansion The correct formula for the speed of sound 𝑽 𝒔𝒐𝒖𝒏𝒅 = 𝟏 𝝆𝑲 𝒔 = 𝟏 𝝆 𝑪 𝑽 𝑪 𝑷 𝜿 𝑻 𝜿 𝑻 = 𝑪 𝑷 𝝆𝒗 𝒔 𝟐 𝑪 𝑽 Where 𝝆 : the mass density (~ 1000 𝑘𝑔 𝑚3 for water and soft tissue) 𝑪 𝑷: the specific heat capacity at constant pressure 𝑪 𝑽: the specific heat capacity at constant volume (~4000 𝐽 𝑘𝑔 𝐾 for muscle) 𝒅𝑽 𝑽 = 1 𝑉 [( 𝜕𝑉 𝜕𝑃 ) 𝑇 𝑑𝑃 + ( 𝜕𝑉 𝜕𝑇 ) 𝑃 𝑑𝑇] = −𝜿𝒑 + 𝜷𝑻 where 𝜿 : the isothermal compressibility (= 𝜿 𝑻) (~5 × 10−10 𝑃𝑎−1 for water or soft tissue) 𝜷 : the thermal coefficient of volume expansion (~ 4 × 10−4 𝐾−1 for muscle) (isobaric) 𝒑 : the changes in pressure (Pa) 𝑻 : the changes in temperature (K) Photoacousticeffect
  • 9. Local pressure rising (the initial pressure) 𝑷 𝟎 = 𝜷 𝑻 𝜿 = 𝜷 𝜿𝝆𝑪 𝑽 𝜼𝒕𝒉 𝑨 𝒆 where 𝑨 𝒆: the specific optical absorption (𝐽/𝑚3 ) 𝜼𝒕𝒉: the percentage that is converted into heat Photoacousticeffect 𝚪 = 𝜷 𝜿𝝆𝑪 𝑽 = 𝜷 𝒗 𝒔 𝟐 𝑪 𝑷 Grueneisen parameter (dimensionless) 𝑷 𝟎 = 𝚪𝜼𝒕𝒉 𝑨 𝒆 = 𝚪𝜼𝒕𝒉 𝝁 𝒂 𝑭 Where 𝝁 𝒂 : the optical absorption coefficient (1/𝑚) 𝑭 : the optical fluence (𝐽/𝑚2 )
  • 10. Grueneisen parameter (dimensionless) 𝚪 = 𝜷 𝜿𝝆𝑪 𝑽 = 𝜷 𝒗 𝒔 𝟐 𝑪 𝑷 𝜦 𝝀 = 𝑨 𝑭 = 𝜶𝜞𝝁 𝒂(𝝀) Photoacoustic measurement of the Gruneisen parameter of tissue, Da-Kan Yao, Lihong V. Wang, et al. , 2014, DOI: 10.1117/1, JBO Temperature mapping using photoacoustic and thermoacoustic tomography, Haixin Ke, Lihong V. Wang, et al, 2012, DOI: 10.1117/12.909000, Proc. SPIE 8223 Grueneisen parameter can be measured from the signal amplitude (𝛬 𝜆 ) where 𝑨 : the peak-to-peak voltage amplitude 𝑭 : the light fluency 𝜶 : calibration factor, which depends on the central frequency of the transducer 𝜔0 22℃ Lipid 0.69±0.02 Fat tissue 0.81±0.05 Serum 0.132±0.002 Blood 0.124+0.000333𝐶 𝐻𝑏02 Beef muscle 0.15 (22℃) 0.21 (37℃) Photoacousticeffect
  • 11. Pressure rising with the temperature (example) For F = 10 𝑚𝐽/𝑐𝑚2, 𝜇 𝑎 = 0.1 𝑐𝑚−1, 𝜂 𝑡ℎ = 1 𝑨 𝒆 = 𝟎. 𝟏 𝒄𝒎−𝟏 × 𝟏𝟎 𝒎𝑱 𝒄𝒎 𝟐 = 𝟏 𝒎𝑱 𝒄𝒎 𝟑 𝑻 = 𝑨 𝒆 𝝆𝑪 𝑽 = 𝟏 𝒎𝑱 𝒄𝒎 𝟑 𝟏 𝒈 𝒄𝒎 𝟑 × 𝟒 𝑱𝒈−𝟏 𝑲−𝟏 = 𝟎. 𝟐𝟓 𝒎𝑲 Biomedical Optics Principles and Imaging, Lihong V. Wang, Hsin-I Wu , 2006 (Wiley-Interscience) In case of lipid, 𝑷 𝟎 = 𝚪𝜼 𝒕𝒉 𝑨 𝒆 = 𝟎. 𝟔𝟗 × 𝟏𝟎 𝒎𝒃𝒂𝒓 = 𝟔. 𝟗 𝒎𝒃𝒂𝒓 (= 𝟔𝟗𝟎 𝑷𝒂) In case of fat tissue, 𝑷 𝟎 = 𝚪𝜼 𝒕𝒉 𝑨 𝒆 = 𝟎. 𝟖𝟏 × 𝟏𝟎 𝒎𝒃𝒂𝒓 = 𝟖. 𝟏 𝒎𝒃𝒂𝒓 (= 𝟖𝟏𝟎 𝑷𝒂) In case of blood with 110 mg/ml, 𝑷 𝟎 = 𝚪𝜼 𝒕𝒉 𝑨 𝒆 = 𝟎. 𝟏𝟔 × 𝟏𝟎 𝒎𝒃𝒂𝒓 = 𝟏. 𝟔 𝒎𝒃𝒂𝒓 (= 𝟏𝟔𝟎 𝑷𝒂) Photoacousticeffect For F = 20 𝑚𝐽/𝑐𝑚2 , 𝜇 𝑎 = 0.1 𝑐𝑚−1 , 𝜂 𝑡ℎ = 1 𝑨 𝒆 = 𝟎. 𝟏 𝒄𝒎−𝟏 × 𝟐𝟎 𝒎𝑱 𝒄𝒎 𝟐 = 𝟐 𝒎𝑱 𝒄𝒎 𝟑 𝑻 = 𝑨 𝒆 𝝆𝑪 𝑽 = 𝟐 𝒎𝑱 𝒄𝒎 𝟑 𝟏 𝒈 𝒄𝒎 𝟑 × 𝟒 𝑱𝒈−𝟏 𝑲−𝟏 = 𝟎. 𝟓 𝒎𝑲
  • 12. Two equations to derive PA equation Photoacousticequation Internal forces Stress Strain Displacement Size & shape change Displacement Strain Stress Internal forces Material properties Stress-to-strain relation
  • 13. Two equations to derive PA equation Photoacousticequation
  • 14. General Photoacoustic equation The wave propagation The source term Photoacousticequation
  • 18. Source term representation (source term) From the heat equation Photoacousticequation
  • 19. General Green’s function for inhomogeneous eq. SolutionofPhotoacousticequation
  • 20. General solution of the PA equation . . SolutionofPhotoacousticequation Initial condition Source Boundary condition
  • 21. Green’s function approach SolutionofPhotoacousticequation This integration has discontinuities at 𝑘 = ±𝜔/𝑣𝑠, but it can be evaluated by Cauchy’s contour integration and it also has to be analyzed in spherical coordinate since the wave is the spherical wave.
  • 22. Green’s function approach by Cauchy contour integration SolutionofPhotoacousticequation
  • 23. Green’s function approach in spherical coordinates SolutionofPhotoacousticequation
  • 25. Limitations of the solution • We cannot say that photoacoustic equation is an adjoint problem • Tissue is heterogeneous and has viscosity, elasticity and so on • Actually, Green’s function has the physical meaning as the response of a point absorber to step heating, rather than impulse heating Next works.. • Understand the solution in case of array imaging system • Transform the solution using Numerical analysis with several examples