Vibrometry with Ultrasound Ultrasound Stimulated Vibrometry for

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Ultrasound Stimulated Vibrometry for
Measuring Viscoelastic Tissue
Properties
J. F. Greenleaf*
Shigao Chen*
Xiaoming Zhang*
Wilkins Aquino#
John C. Brigham#
Yi Zheng&
*Mayo
Clinic College of Medicine
#Cornell University
&St Cloud State University
Vibrometry with Ultrasound
•
•
•
•
•
•
•
•
Where Does Radiation Force Come From?
– Nonlinear terms in second order wave equation.
What Tissue Properties are Accessible with the Method?
– Elastic and viscous moduli
What approaches have been tried?
– External stress, impulse, vibration- internal stress, impulse,
harmonic
Why vibrometry? Wave equation is local, harmonic
How does it work? Initiate shear wave, measure wavelength
Results- Phantoms, tissue,
Applications, homogeneous, liver (MRE), kidney, Lesions?
Conclusions
– Quantitative, simple, fast, add to commercial scanners.
Vibrometry with Ultrasound
• Background- What is the Problem?
Tissue stiffness vs disease
• Rationale for measurement- noninvasive, quick,
inexpensive, simple, quantitative
• Significance- early diagnosis, almost real time.
• Approach- use stress application to measure strain
response. Stress/strain results.
• Introduction-ultrasound radiation force methods are now
growing rapidly and will remap ultrasound methods.
Palpation and Disease
• Many disease processes are associated
with changes in tissue stiffness
• Palpation is a common tool for disease
detection through the evaluation of
stiffness
– Clinical- and self-breast exam
– Testicular exam
– Digital rectal (prostate) exam
• Palpation is most sensitive to tumors that
are large and close to the skin surface
1
Primer on stiffness
Stress and Strain
Lets stop and look at fundamental
linear viscoelastic mechanics
• What is the required to evaluate a linear
homogeneous viscoelastic material?
• What do models like Voigt and Maxwell
have to do with the characterization?
Stress = σ = force/unit area
L2
L1
Strain = ε = (L1-L2)/L1
Modulus E= σ/ε (force/area)
Relaxation and Creep
(linear, viscoelastic, homogeneous)
Creep, Φ
Relaxation, Ψ
σ
ε
t
ε
σ
t
Creep Compliance Φ, and
Relaxation Function Ψ
ε (t ) = Strain
σ (t ) = Stress
Φ (t ), Ψ (t ) = Green functions
t
t
2
Models for linear viscoelastic
materials
η = 2µτ
Requirements for tissue stiffness
measurement technique
•
•
•
•
•
•
Non invasive
Quantitative
Simple
Fast
Repeatable
Accurate
Background
Example: Liver Cirrhosis
• Causes:
– Sustain wound healing to chronic liver
injury
– Viral; autoimmune; drug induced;
cholestatic; metabolic diseases
• Prevalence:
– Hundreds of millions worldwide
– 900,000 in USA (number increasing)
• Risk (50% 5 year mortality):
– Hepatic failure
– Primary liver cancer
3
Need for Noninvasive
Alternative
Limitation of Liver Biopsy
• Pain (French survey)
• Fibrosis is reversible
• Complications
• Risk and cost of unnecessary biopsy
– Hospitalization: 1~5%
– Mortality 1/1,000~1/10,000
• Low reproducibility
– Inter-observer variability: ~20%
– $2,200
– HCV: ~25%
• New treatment development (tracking)
– Establish effectiveness
– Optimize dosing
One approach is to use Magnetic
Resonance Elastography: MRE#
• Vibrate tissue from the surface of the body
• Cause shear wave propagation within the
tissue
• Measure wave speed
• Deduce stiffness from the wave equation.
#Muthupillai,
R., D. J. Lomas, P. J. Rossman, J. F. Greenleaf, A.
Manduca, and R. L. Ehman: Magnetic resonance elastography
by direct visualization of propagating acoustic strain waves.
Science 269:1854-1857, September 29, 1995.
Wave equation
∂ t φ − cs2∇ 2φ = 0
2
cs2 = ∂ t2φ / ∇ 2φ
cs (ω ) =
(
(
2 µ 2 + ω 2η 2
µ1 = storage
)
ρ µ + µ 2 + ω 2η 2
)
(Voigt)
µ = storage, ρ = density
η = loss , ω = 2πf
4
MRE of Normal Liver
MRE of Cirrhotic Liver
19.2kPa
Ehman R. L. et al.
Ehman R. L. et al.
In Vivo Study by MRE
MR Elastography for Fibrosis
Staging
– Slow (>20 minutes)
– Expensive
– Precise, accurate
Elasticity (kPa)
Viscosity (Pa*s)
L. Huwart et al., Liver fibrosis: non-invasive assessment with MR
elastography, NMR in Biomedicine, 19:173-179, 2006.
5
Ultrasound Elastography for
Fibrosis Staging
•
•
•
•
•
•
FibroscanTM (Echosens, Paris)
Sonoelasticity
Supersonic ImagineTM
Elastography
ARFI
SDUV
In Vivo Study by FibroscanTM
Ultrasound-based FibroscanTM
V = µ /ρ
(Not 2D!)
Sonoelasticity
M. Ziol et al., Noninvasive assessment of liver fibrosis by
measurement of stiffness in patients with chronic hepatitis C ,
Hepatology, 41:48-54, 2005.
6
Sonoelasticity
Supersonic Shear Imaging
Sonoelastographic image of shear wave
interference patterns induced in a tissue-mimicking
phantom using externally applied mechanical
vibration.
Robert M. Lerner, M.D. and Kevin J. Parker, Ph.D.
Mathias Fink, University Paris VII, France
Images copyright University of Rochester
Inverse Problem in heterogeneous medium
:Supersonic Imaging (SSI)
3
2
20 mm inclusion
1
0
Review So Far
• Tissue elasticity is widely seen as
important in disease detection, and
perhaps in diagnosis.
• Many methods are being developed
including ultrasound methods.
• Ultrasound radiation stress is used to
produce strain in tissue in several of these
methods.
•Fink et. al.
7
Goal of last half of presentation
• To present two methods of quantitative
tissue elastic property measurement
• The first is Shearwave Dispersion
Ultrasonic Vibrometry (SDUV)
• The second is Surrogate Model
Accelerated Random Search
•
•
John C. Brigham, W. Aquino, F. Mitri, J.F. Greenleaf, and M. Fatemi. Inverse
Estimation of Viscoelastic Material Models for Solids Immersed in Fluids using
Acoustic Emissions. Journal of Applied Physics 101, (2007).
John C. Brigham and W. Aquino (2007) Surrogate Model Accelerated Random
Search (SMARS) Algorithm for Optimization with Costly Objective Functions.
Computer Methods in Applied Mechanics and Engineering, in review.
Approach
• Use ultrasound radiation pressure to provide
stress in tissue
• Use ultrasound pulse echo methods to measure
resulting strain
• Calculate elasticity and viscosity of tissue from
stress/strain relationships through models
• Use methods that can be applied to modern
ultrasound scanners as a software modification
with little hardware modificaiton.
Significance of Ultrasound
Radiation Force Method
• Stiffness measurement can be made
using modern ultrasound system
• Simple modifications required
• Shear wave equation has local support
under appropriate conditions
• Both storage and loss moduli can be
measured.
• Noninvasive, simple, fast, accurate.
Quantitative Measurements of
tissue properties
• Propagate harmonic or pulse shear wave
from radiation force site on vessel wall or
within tissue.
• Measure phase velocity dispersion of the
freely propagating wave.
• Solve for complex shear modulus given
relevant model [INVERSE PROBLEM].
8
The first order acoustic wave equation
Were does the radiation stress
come from?
∂t2Ψ− c2∆Ψ = 0
υ = ∇Ψ
υ = Wavefield velocity
γ = Specific heat ratio
c = Phase velocity
Allison Malcolm et al ASME, Chicago, 2006.
The acoustic wave equation to second order
describes radiation pressure
∂ Ψ− c ∆Ψ = ∂t ∇Φ +
2
t
2
2
γ −1
(∂t Φ)
υ = Wavefield velocity
2c2
υ = ∇Φ+∇Ψ
γ = Specific heat ratio
Φ = Φ1 + Φ2
c = Phase velocity
Detection
Points
AM Input
Transducer
2
1
sinu sinv = [cos(u − v) − cos(u + v)]
2
sin2 u =
Proposed Method (SDUV)
1− cos(2u)
2
Allison Malcolm et al ASME, Chicago, 2006.
r
Ultrasound
Beam
Radiation Stress Force
ω
Φ1
(
(
2 µ 2 + ω 2η 2
)
ρ µ + µ 2 + ω 2η 2
)
Φ2
∂ t 2φ + cs∇2φ = 0
Viscoelastic Medium
cs =
cs (ω) =
ω ⋅ ∆r
φ2 −φ1
Depends only on local µ and η (Voigt model)
Device independent (beam shape, Tx)
Independent of ultrasound intensity
9
Advantages of SDUV
Shear Speed Varies with
Frequency and with Viscosity
• Shearwave Dispersion Ultrasound Vibrometry
–SDUV
• Truly quantitative
• Elasticity & viscosity
• Applicable to ascites patients
• “Virtual biopsy” can be guided by 2D Bscan
µ1 = 5kPa
Therefore the viscosity must be
measured to avoid bias.
Test of Accuracy
In Vitro Measurement in Beef
ultrasound
detection
Actuator
Rod
Striated beef muscle
10
Results
Rabbit Liver Results
Dispersion in healthy rabbit liver
Dispersion along (o) and across(+) the fiber
2
Shear wave speed (m/s)
8
Shear wave speed (m/s)
7
6
5
4
3
2
Along: m 1 = 29 kPa, m 2 = 9.9 Pa*s
1
Across: m 1 = 12 kPa, m 2 = 5.7 Pa*s
0
200
250
300
350
400
Vibration frequency (Hz)
1.5
1
0.5
0
450
LMS fit: m 1 = 1.6 kPa, m 2 = 0.76 Pa*s
100
150 200 250 300 350
Vibration frequency (Hz)
400
500
Review
• Linear viscoelastic tissues are
characterized by a Green function.
• The use of a model allows fitting for
viscous and elastic terms.
• Vibrometry allows the shear wave
equation to be used to calculate shear
wave speed and dispersion.
• Voigt model provides fit to speed
dispersion for viscous and elastic moduli.
Can we make quantitative
measurements of moduli in
vessels?
• Very complex (smaller than the shear
wavelength)
• Excite modes of vibration in vessels.
• Measure response to force
• Estimate material properties given
appropriate model using a forward/inverse
FEM feedback approach (SMARS)
11
The Surrogate-Model Accelerated
Random Search (SMARS)
Algorithm
Simulated Experiment (forward
problem)
Vessel
Outside Diameter=5mm
Thickness=1mm
Length=10cm
5kHz Impact
• Combines random search algorithm with surrogate
model method of optimization
Water
– Random Search: Stochastic Global Search
– Surrogate-Model: Efficient Local Search
Constitutive Behavior
(Orthotropic Shell)
σC (t)
Q11 Q12 0 εC (t)
σ L (t ) = Q21 Q22 0 ε L (t )
0 0 Q33 2ε S (t )
σ S (t )
Impact Load
Velocity Measurement Point
• Locate global solutions with limited function
evaluations
• General applicability and ease of implementation
• Easy parallelization
Q11 =
EC
ν E
, Q12 = Q21 = LC C ,
1−νCLνCL
1−ν LCνCL
Q22 =
EL
, Q33 = G
1−νCLν LC
EC ≡ Circumferential Elastic Modulus
EL ≡ Longitudinal Elastic Modulus
Pressure Measurement Point
G ≡ In-Plane Shear Modulus
•
8
John C. Brigham, W. Aquino, F. Mitri, J.F. Greenleaf, and M. Fatemi. Inverse
Estimation of Viscoelastic Material Models for Solids Immersed in Fluids using
Acoustic Emissions. Journal of Applied Physics 101, (2007).
Forward Solution with FEM
15
Inverse Problem Formulation
1.50
Given p exp ( x j , t ) j = 1, 2,… , n
Normalized Fluid Pressure
1.00
Measured acoustic pressure
in time at n points in the fluid
0.50
0.00
-0.50
-1.00
-1.50
0
0.0005
0.001
0.0015
0.002
0.0025
Time(s)
Let α ∈
m
be a vector of material parameters
•
•
such as elasticity, viscosity, etc.
Define an error functional as
E (α ) =
t2
n
t1
j =1
p exp ( x j , t ) − p FE ( x j , t , α ) d ω
Then, solve this optimization problem.
2
1
2
•
•
Global search capabilities
Unaffected by non-convex error
surface
Tolerant to noise and imprecision
in experimental data
Minimize calculations of
expensive numerical analysis
minimize
{ E (α )}
m
α∈
•
John C. Brigham, W. Aquino, F. Mitri, J.F. Greenleaf, and M. Fatemi. Inverse
Estimation of Viscoelastic Material Models for Solids Immersed in Fluids using
Acoustic Emissions. Journal of Applied Physics 101, (2007).
7
12
The SMARS Algorithm
Create numerical model
based on experiment
Sensitivity Experiment and
Inverse Solution
a.)
Random
Search
Randomly generate trial solutions in the
search space
Vessel
Outside Diameter=5mm
Thickness=1mm
Length=10cm
5kHz Impact
Randomly generate
additional trial
solutions
Evaluate trial solutions
with numerical model
Constitutive Behavior
(Orthotropic Shell)
Determine current optimal
trial solution
Yes
Stop
EC2
Water
Are the results
satisfactory?
2
EC − ELν CL
σ C (t )
EC ELν CL
σ L (t ) =
2
EC − ELν CL
σ S (t )
Impact Load
Velocity Measurement Point
No
b.)
Surrogate
-Model
Perform optimization with
surrogate-model
0
0
2G
Are the results
satisfactory?
E L ≡ Longitudinal Elastic Modulus
G ≡ In-Plane Shear Modulus
Pressure Measurement Point
ν CL ≡ Orthotropic Poisson's Ratio
No
9
15
Acoustic Pressure Sensitivity
Response
0.4
0.5 EL
EL
2 EL
5 EL
0.3
0.2
Fluid Pressure (Pa)
0.2
0.1
0
-0.1
-0.2
Surface Velocity (m/s)
0.5 Ec
Ec
2 Ec
5 Ec
0.1
0
-0.1
-0.3
0.0015
0.0015
0.0010
0.0010
0.0005
0.0000
-0.0005
-0.0010
0.5 Ec
Ec
2 Ec
5 Ec
-0.0015
-0.2
Circumferential Elastic Modulus
-0.0020
Longitudinal Elastic Modulus
-0.3
0
0
0.0005
0.001
0.0015
0.002
0.0025
0
Time (s)
0.0005
0.001
0.0015
0.002
0.0000
0.5 EL
EL
2 EL
5 EL
-0.0010
-0.0015
0.0005
0.001
0.0015
0.002
0.0025
0
0.0005
0.001
0.0015
0.002
0.0025
Time (s)
Time (s)
0.0025
Time(s)
In-Plane Shear Modulus
In-Plane Shear Modulus
Inverse solution
Inverse solution
0.0015
0.0010
0.5 G
G
2G
5G
0.3
0.2
Target
0.1
0
EC (Pa)
EL (Pa)
5.45x106
1.09x106
Surface Velocity (m/s)
0.4
Fluid Pressure (Pa)
0.0005
-0.0005
-0.0020
-0.0025
-0.4
-0.4
Longitudinal Elastic Modulus
Circumferential Elastic Modulus
Longitudinal Elastic Modulus
0.4
Fluid Pressure (Pa)
Vessel Surface Velocity
Sensitivity Response
Surface Velocity (m/s)
Circumferential Elastic Modulus
0.3
ε C (t )
ε L (t )
ε S (t )
EC ≡ Circumferential Elastic Modulus
Evaluate optimal surrogate trial solution
with numerical model
Yes
0
EC EL
2
EC − ELν CL
0
Train surrogate-model
Stop
EC E Lν CL
2
EC − ELν CL
6
Results
Mean Optimization
5.50x106 1.16x10
-0.1
-0.2
Std Dev
In-Plane Shear Modulus
4.88x105
EL (Pa)
G(Pa)
5.45x106
1.09x106
3.78x105
Mean
4.85x106
1.07x106
3.94x105
0.0000
-0.0005
-0.0010
Optimization
Results
4.94x104 2.86x103 1.34x103
0.5 G
G
2G
5G
-0.0015
-0.0020
3.43x105
EC (Pa)
Target
0.0005
Std Dev
-0.0025
-0.3
0
0.0005
0.001
0.0015
0.002
0.0025
Time (s)
-0.4
0
0.0005
0.001
0.0015
Time(s)
0.002
0.0025
20
19
13
Effect of nitroglycerine on pulse
wave speed in pig femoral artery
4.7m/s
3.4m/s
Review 2
• Radiation force can be used to induce
motion in complex structures such as
vessels.
• Complexities such as anisotropy, and
inhomogeneity may require FEM or other
modeling in an iterative loop to solve for
material properties of complex structures
from their response to radiation stress.
Review 1
• Radiation Stress comes from the second order
terms of the wave equation for acoustic waves.
• Motion within tissue can be produced at a
remote location with radiation force by focusing
ultrasound at that location.
• Harmonic motion produced by AM modulated
ultrasound can induce a shear wave in the
tissue.
• The shear wave has local support, so
measurement of the wave speed and dispersion
gives the storage and loss moduli of the tissue.
Conclusions
• SDUV obtains quantitative
measurements of elastic and viscous
shear moduli in isotropic
homogeneous tissues, tested in vitro
not yet in vivo.
• SMARS obtains quantitative
measurements in anisotropic, elastic
shells, so far only tested in fluid and in
simulation.
8
14
Acknowledgements
Mayo Ultrasound Laboratory
2/07
• National Institute of Biomedical Imaging
and Bioengineering grants EB2167 and
EB2640.
• Randy Kinnick, experiments
• Cristina Pislaru MD, animal experiments
• Dr Chen, Zheng, and Greenleaf have
patents and patents pending on some of
these approaches.
Thank You
Elasticity Theory in 1-D
-Hooke’s Law
∆F = k ∆ x
Mass
1
Mass
2
Spring Constant k
∆x
Tim Hall
15
Liver Elastography with
Ultrasound
Olivier Rouvière, Meng Yin, M. Alex
Dresner, Phillip J. Rossman, Lawrence
J. Burgart, Jeff L. Fidler, and Richard L.
Ehman
MR Elastography of the Liver:
Preliminary Results
Radiology 2006; 240: 440-448.
Elastography Measurements of
Liver Stiffness in Humans
Can we do this in complex tissue?
• Homogeneous, isotropic liver is one thing
but vessels are much more complicated.
• Need to confine excitation to only specific
modes and then solve simplified model.
• Can we use FEM to help?
16
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