Non-invasive quantitative reconstruction of tissue elasticity using an iterative forward approach.

A novel iterative approach is presented to estimate Young's modulus in homogeneous soft tissues using vibration sonoelastography. A low-frequency (below 100 Hz) external vibration is applied and three or more consecutive frames of B-scan image data are recorded. The internal vibrational motion of the soft tissue structures is calculated from 2D displacements between pairs of consecutive frames, which are estimated using a mesh-based speckle tracking method. An iterative forward finite element approach has been developed to reconstruct Young's modulus from the measured vibrational motion. This is accomplished by subdividing the 2D image domain into sample blocks in which Young's modulus is assumed to be constant. Because the finite element equations are internally consistent, boundary values other than displacement are not required. The sensitivity of the results to Poisson's ratio and the damping coefficient (viscosity) is investigated. The approach is verified using simulated displacement data and using data from tissue-mimicking phantoms.

[1]  Faouzi Kallel,et al.  Tissue elasticity reconstruction using linear perturbation method , 1996, IEEE Trans. Medical Imaging.

[2]  J. Shirron,et al.  On the noninvasive determination of material parameters from a knowledge of elastic displacements theory and numerical simulation , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[3]  M. O’Donnell,et al.  Reconstructive elasticity imaging for large deformations , 1999, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[4]  F. Kallel,et al.  Elastography: A systems approach , 1997, Int. J. Imaging Syst. Technol..

[5]  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.

[6]  K. Parker,et al.  Sonoelasticity imaging: theory and experimental verification. , 1995, The Journal of the Acoustical Society of America.

[7]  S. Levinson,et al.  Sonoelastic determination of human skeletal muscle elasticity. , 1995, Journal of biomechanics.

[8]  M Radmacher,et al.  Measuring the elastic properties of biological samples with the AFM. , 1997, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[9]  A. Manduca,et al.  Magnetic resonance elastography by direct visualization of propagating acoustic strain waves. , 1995, Science.

[10]  T. Krouskop,et al.  Elastic Moduli of Breast and Prostate Tissues under Compression , 1998, Ultrasonic imaging.

[11]  F. Kallel,et al.  Speckle motion artifact under tissue rotation , 1994, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

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

[13]  J. Madden,et al.  Effect of lumbar sympathectomy on muscle blood flow: distribution of perfusion measured by hydrogen clearance in skeletal muscle. , 1987, Journal of rehabilitation research and development.

[14]  Kevin J. Parker,et al.  Feature-adaptive motion tracking of ultrasound image sequences using a deformable mesh , 1998, IEEE Transactions on Medical Imaging.

[15]  R. Cook,et al.  Concepts and Applications of Finite Element Analysis , 1974 .

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

[17]  M. Bertrand,et al.  Speckle-motion artifact under tissue shearing , 1999, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[18]  K J Parker,et al.  Vibration sonoelastography and the detectability of lesions. , 1998, Ultrasound in medicine & biology.

[19]  M Fink,et al.  A solution to diffraction biases in sonoelasticity: the acoustic impulse technique. , 1999, The Journal of the Acoustical Society of America.

[20]  M. O’Donnell,et al.  Internal displacement and strain imaging using ultrasonic speckle tracking , 1994, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[21]  C. Sumi,et al.  Estimation of shear modulus distribution in soft tissue from strain distribution , 1995, IEEE Transactions on Biomedical Engineering.

[22]  W.D. O'Brien,et al.  Current time-domain methods for assessing tissue motion by analysis from reflected ultrasound echoes-a review , 1993, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[23]  J. Ophir,et al.  Elastography: A Quantitative Method for Imaging the Elasticity of Biological Tissues , 1991, Ultrasonic imaging.

[24]  K. Parker,et al.  "Sonoelasticity" images derived from ultrasound signals in mechanically vibrated tissues. , 1990, Ultrasound in medicine & biology.

[25]  A.R. Skovoroda,et al.  Tissue elasticity reconstruction based on ultrasonic displacement and strain images , 1995, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.