Access the full text.
Sign up today, get DeepDyve free for 14 days.
T. Pavan, E. Madsen, G. Frank, Jingfeng Jiang, A. Carneiro, T. Hall (2012)
A nonlinear elasticity phantom containing spherical inclusionsPhysics in Medicine and Biology, 57
W. Lai, D. Rubin, E. Krempl (2009)
Introduction to Continuum Mechanics
I. Céspedes, J. Ophir (1993)
Reduction of Image Noise in ElastographyUltrasonic Imaging, 15
I. Céspedes, Yijun Huang, J. Ophir, S. Spratt (1995)
Methods for Estimation of Subsample Time Delays of Digitized Echo SignalsUltrasonic Imaging, 17
(1984)
Fundamental limitations in passive time-delay estimation–part II: wide-band systems
Jingfeng Jiang, T. Hall (2007)
A parallelizable real-time motion tracking algorithm with applications to ultrasonic strain imagingPhysics in Medicine & Biology, 52
T. Krouskop, Thomas Wheeler, F. Kallel, B. Garra, Timothy Hall (1998)
Elastic Moduli of Breast and Prostate Tissues under CompressionUltrasonic Imaging, 20
S. Alam, J. Ophir (1997)
Reduction of signal decorrelation from mechanical compression of tissues by temporal stretching: applications to elastography.Ultrasound in medicine & biology, 23 1
S. Emelianov, M. Lubinski, A. Skovoroda, R. Erkamp, S. Leavey, Roger Wiggins, Matthew O’Donnell (1997)
Reconstructive ultrasound elasticity imaging for renal pathology detection1997 IEEE Ultrasonics Symposium Proceedings. An International Symposium (Cat. No.97CH36118), 2
N. Nitta, T. Shiina (2002)
Estimation of Nonlinear Elasticity Parameter of Tissues by UltrasoundJapanese Journal of Applied Physics, 41
J. Meunier, M. Bertrand (1993)
Ultrasonic texture motion analysis: theory and simulation, 1896
H. Du, Jie Liu, C. Pellot-Barakat, M. Insana (2006)
Optimizing multicompression approaches to elasticity imagingIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 53
M. Lubinski, S. Emelianov, M. O’Donnell (1999)
Adaptive strain estimation using retrospective processing [medical US elasticity imaging]IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 46
P. Chaturvedi, M. Insana, T. Hall (1998)
2-D companding for noise reduction in strain imagingIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 45
T. Varghese, J. Ophir, T. Krouskop (2000)
Nonlinear stress-strain relationships in tissue and their effect on the contrast-to-noise ratio in elastograms.Ultrasound in medicine & biology, 26 5
Matthew O’Donnell, A. Skovoroda, B. Shapo, S. Emelianov (1994)
Internal displacement and strain imaging using ultrasonic speckle trackingIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 41
Jingfeng Jiang, T. Hall (2011)
A fast hybrid algorithm combining regularized motion tracking and predictive search for reducing the occurrence of large displacement errorsIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 58
T. Varghese, J. Ophir (1996)
Performance Optimization in Elastography: Multicompression with Temporal StretchingUltrasonic Imaging, 18
T. Varghese, J. Ophir, I. Céspedes (1996)
Noise reduction in elastograms using temporal stretching with multicompression averaging.Ultrasound in medicine & biology, 22 8
S. Goenezen, J. Dord, Zac Sink, P. Barbone, Jingfeng Jiang, T. Hall, A. Oberai (2012)
Linear and Nonlinear Elastic Modulus Imaging: An Application to Breast Cancer DiagnosisIEEE Transactions on Medical Imaging, 31
W. Walker, G. Trahey (1995)
A fundamental limit on delay estimation using partially correlated speckle signalsIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 42
F. Viola, W. Walker (2003)
A comparison of the performance of time-delay estimators in medical ultrasoundIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 50
Yanning Zhu, T. Hall (2002)
A Modified Block Matching Method for Real-Time Freehand Strain ImagingUltrasonic Imaging, 24
A. Oberai, N. Gokhale, S. Goenezen, P. Barbone, T. Hall, A. Sommer, Jingfeng Jiang (2009)
Linear and nonlinear elasticity imaging of soft tissue in vivo: demonstration of feasibilityPhysics in Medicine & Biology, 54
T. Varghese, J. Ophir (1997)
A theoretical framework for performance characterization of elastography: the strain filterIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 44
Lujie Chen, Graham Treece, J. Lindop, A. Gee, R. Prager (2009)
A quality-guided displacement tracking algorithm for ultrasonic elasticity imagingMedical Image Analysis, 13
Tracking large deformations in tissue using ultrasound can enable the reconstruction of nonlinear elastic parameters, but poses a challenge to displacement estimation algorithms. Such large deformations have to be broken up into steps, each of which contributes an estimation error to the final accumulated displacement map. The work reported here measured the error variance for single-step and accumulated displacement estimates using one-dimensional numerical simulations of ultrasound echo signals, subjected to tissue strain and electronic noise. The covariance between accumulation steps was also computed. These simulations show that errors due to electronic noise are negatively correlated between steps, and therefore accumulate slowly, whereas errors due to tissue deformation are positively correlated and accumulate quickly. For reasonably low electronic noise levels, the error variance in the accumulated displacement estimates is remarkably constant as a function of step size, but increases with the length of the tracking kernel.
Ultrasonic Imaging – SAGE
Published: Apr 1, 2013
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.