20
1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

Embed Size (px)

Citation preview

Page 1: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

1/20

Joyce McLaughlin

Rensselaer Polytechnic Institute

Interior Elastodynamics Inverse Problems I: Basic Properties

IPAM – September 9, 2003

Page 2: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

2/20

Interior Elastodynamics Inverse Problems

Data: Propagating Elastic Wave

• Initially the medium is at rest

• Time and space dependent interior displacement

measurements

• Wave has a propagating front

Characteristics:

Page 3: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

3/20

Our Application: Transient Elastography

Goal: Create image of shear wave speed in tissue

• Shear wavespeed increases 2-4 times in abnormal tissue

• Shear wavespeed is 1-3 m/sec in normal tissue

• Interior displacement of wave can be measured with ultrasound (or MRI)

• Ultrasound utilizes compression wave whose speed is 1500 m/sec

• Low amplitude linear equation model

• Wave is initiated by impulse on the boundary data has central frequency

• Data supplied by Mathias Fink

Characteristics of the applicaton:

Page 4: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

4/20

Compare with

• Static experiment: tissue is compressed (Ophir)

• Dynamic sinusoidal excitation:

time harmonic boundary source (Parker)

• Our application: Transient elastography

Group members: Lin Ji, Kui Lin, Antoinette Maniatty, Eunyoung Park, Dan Renzi, Jeong-Rock Yoon

Page 5: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

5/20Experimental Setup

The device that is used by Fink’s Lab to excite the target tissueand to measure the shear wave motion at the same time

Page 6: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

6/20

Two Bar Transducer

Page 7: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

7/20

Cross Correlation

Page 8: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

8/20

Mathematical Models

OR

Page 9: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

9/20

How rich is the data set?

Proof

Page 10: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

10/20

Proof (continued)

Page 11: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

11/20

Elasticity Case

Page 12: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

12/20

Page 13: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

13/20How rich is the data set?

Page 14: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

14/20

Proof

Page 15: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

15/20

Theorems we use

Page 16: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

16/20Equations of Elasticity

Page 17: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

17/20 Nonuniqueness in Anisotropic Media

Page 18: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

18/20

Sketch of Proof

Page 19: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

19/20

Nonuniqueness Example (The simplest)

Page 20: 1/20 Joyce McLaughlin Rensselaer Polytechnic Institute Interior Elastodynamics Inverse Problems I: Basic Properties IPAM – September 9, 2003

20/20

Conclusion1. Data set is rich.2. Data identifies more than one physical property.3. Arrival Time is a particularly rich data set.

1. In the elastic case, how is shear wave front defined and used for identification?

2. What if not all the components of the elastic displacement vector are measured?

3. When additional physical properties are to be determined what are the continuous dependence results?

4. When there is a large discrepancy in wavespeeds an incompressible model may be appropriate. What are the uniqueness and continuous dependence results in this case?

Open Questions