Forward and inverse problems in elasticity imaging of soft tissues

In elasticity imaging, a surface deformation is applied to an object using small pistons, and the resulting induced strains in the interior of the object are measured using ultrasonic imaging. Two important problems are considered: (1) the forward problem of determining the strains induced by a known deformation of an object with known elasticity; and (2) the inverse problem of reconstructing elasticity from measured strains and the equations of equilibrium. The method of finite differences is used to solve the forward problem for a given piston configuration; some nontrivial issues arise in determining boundary conditions. The finite difference equations are then rearranged into a linear system of equations which formulates the inverse problem; this system can be solved for the unknown elasticities. This formulation of the inverse problem is completely consistent with the forward problem; this is useful for iterative methods in which the deformation is adaptively changed. A comparison between simulated and actual measured results demonstrate the feasibility of the proposed procedure. >

[1]  C. R. Hill,et al.  Ultrasonic study of in vivo kinetic characteristics of human tissues. , 1986, Ultrasound in medicine & biology.

[2]  F. S. Vinson,et al.  A pulsed Doppler ultrasonic system for making noninvasive measurements of the mechanical properties of soft tissue. , 1987, Journal of rehabilitation research and development.

[3]  K Itoh,et al.  Dynamic tests in real-time breast echography. , 1988, Ultrasound in medicine & biology.

[4]  C. R. Hill,et al.  Application of Fourier analysis to clinical study of patterns of tissue movement. , 1988, Ultrasound in medicine & biology.

[5]  Y. Yamakoshi,et al.  Ultrasonic imaging of the internal vibration of soft tissue under forced vibration , 1988 .

[6]  J C Bamber,et al.  Quantitative evaluation of real-time ultrasound features of the breast. , 1988, Ultrasound in medicine & biology.

[7]  J. Meunier,et al.  Ultrasonic biomechanical strain gauge based on speckle tracking , 1989, Proceedings., IEEE Ultrasonics Symposium,.

[8]  P. Bland,et al.  Characterization of transmitted motion in fetal lung: quantitative analysis. , 1989, Medical physics.

[9]  P. Bland,et al.  Quantitative tissue motion analysis of digitized M-mode images: gestational differences of fetal lung. , 1990, Ultrasound in medicine & biology.

[10]  K J Parker,et al.  Tissue response to mechanical vibrations for "sonoelasticity imaging". , 1990, Ultrasound in medicine & biology.

[11]  Y. Yamakoshi,et al.  Ultrasonic imaging of internal vibration of soft tissue under forced vibration , 1990, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[12]  M. O’Donnell,et al.  Measurement of arterial wall motion using Fourier based speckle tracking algorithms , 1991, IEEE 1991 Ultrasonics Symposium,.

[13]  M. O’Donnell,et al.  Ultrasound elasticity imaging using Fourier based speckle tracking algorithm , 1992, IEEE 1992 Ultrasonics Symposium Proceedings.

[14]  M. O’Donnell,et al.  Theoretical analysis and verification of ultrasound displacement and strain imaging , 1994, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.