21.12.5 Elastography Analysis

Chapter Contents (Back)
Elastography. Shows up with MRI and Ultrasound.

Bishop, J., Samani, A., Sciarretta, J., Luginbuhl, C., Plewes, D.B.,
A signal/noise analysis of quasi-static MR elastography,
MedImg(20), No. 11, November 2001, pp. 1183-1187.
IEEE Top Reference. 0111
BibRef

Pellot-Barakat, C., Frouin, F., Insana, M.F., Herment, A.,
Ultrasound Elastography Based on Multiscale Estimations of Regularized Displacement Fields,
MedImg(23), No. 2, February 2004, pp. 153-163.
IEEE Abstract. 0403
BibRef

Maurice, R.L., Ohayon, J., Fretigny, Y., Bertrand, M., Soulez, G., Cloutier, G.,
Noninvasive Vascular Elastography: Theoretical Framework,
MedImg(23), No. 2, February 2004, pp. 164-180.
IEEE Abstract. 0403
BibRef

Techavipoo, U., Chen, Q., Varghese, T., Zagzebski, J.A.,
Estimation of displacement vectors and strain tensors in elastography using angular insonifications,
MedImg(23), No. 12, December 2004, pp. 1479-1489.
IEEE Abstract. 0412
BibRef

Washington, C.W., Miga, M.I.,
Modality Independent Elastography (MIE): A New Approach to Elasticity Imaging,
MedImg(23), No. 9, September 2004, pp. 1117-1128.
IEEE Abstract. 0409
BibRef

Revell, J., Mirmehdi, M., McNally, D.,
Computer Vision Elastography: Speckle Adaptive Motion Estimation for Elastography Using Ultrasound Sequences,
MedImg(24), No. 6, June 2005, pp. 755-766.
IEEE Abstract. 0506
BibRef

Liu, Y., Sun, L.Z., Wang, G.,
Tomography-Based 3-D Anisotropic Elastography Using Boundary Measurements,
MedImg(24), No. 10, October 2005, pp. 1323-1333.
IEEE DOI 0510
BibRef

Rivaz, H., Boctor, E.M., Foroughi, P., Zellars, R., Fichtinger, G.[Gabor], Hager, G.D.,
Ultrasound Elastography: A Dynamic Programming Approach,
MedImg(27), No. 10, October 2008, pp. 1373-1377.
IEEE DOI 0810

See also Prostate Brachytherapy Seed Reconstruction With Gaussian Blurring and Optimal Coverage Cost. BibRef

Rivaz, H., Boctor, E.M., Choti, M.A., Hager, G.D.,
Real-Time Regularized Ultrasound Elastography,
MedImg(30), No. 4, April 2011, pp. 928-945.
IEEE DOI 1104
BibRef

Kwon, O.I., Park, C., Nam, H.S., Woo, E.J., Seo, J.K., Glaser, K.J., Manduca, A., Ehman, R.L.,
Shear Modulus Decomposition Algorithm in Magnetic Resonance Elastography,
MedImg(28), No. 10, October 2009, pp. 1526-1533.
IEEE DOI 0910
BibRef

Perrinez, P.R., Kennedy, F.E., van Houten, E.E.W., Weaver, J.B., Paulsen, K.D.,
Magnetic Resonance Poroelastography: An Algorithm for Estimating the Mechanical Properties of Fluid-Saturated Soft Tissues,
MedImg(29), No. 3, March 2010, pp. 746-755.
IEEE DOI 1003
BibRef

Weaver, J.B., Healy, Jr., D.M.,
Acquisition of the Karhunen-Loeve expansion to reduce MR imaging times,
ICIP94(III: 35-39).
IEEE DOI 9411
BibRef

McGarry, M., Johnson, C.L., Sutton, B.P., van Houten, E.E., Georgiadis, J.G., Weaver, J.B., Paulsen, K.D.,
Including Spatial Information in Nonlinear Inversion MR Elastography Using Soft Prior Regularization,
MedImg(32), No. 10, 2013, pp. 1901-1909.
IEEE DOI 1311
biomechanics BibRef

Sinkus, R., Tanter, M., Bercoff, J., Siegmann, K., Pernot, M., Athanasiou, A., Fink, M.,
Potential of MRI and Ultrasound Radiation Force in Elastography: Applications to Diagnosis and Therapy,
PIEEE(96), No. 3, March 2008, pp. 490-499.
IEEE DOI 0804

See also High-Resolution Quantitative Imaging of Cornea Elasticity Using Supersonic Shear Imaging. BibRef

Deffieux, T., Montaldo, G., Tanter, M., Fink, M.,
Shear Wave Spectroscopy for In Vivo Quantification of Human Soft Tissues Visco-Elasticity,
MedImg(28), No. 3, March 2009, pp. 313-322.
IEEE DOI 0903
BibRef

Zakaria, T., Qin, Z., Maurice, R.L.,
Optical-Flow-Based B-Mode Elastography: Application in the Hypertensive Rat Carotid,
MedImg(29), No. 2, February 2010, pp. 570-578.
IEEE DOI 1002
BibRef

Nair, S.P., Yang, X., Krouskop, T.A., Righetti, R.,
Performance Analysis of a New Real-Time Elastographic Time Constant Estimator,
MedImg(30), No. 2, February 2011, pp. 497-511.
IEEE DOI 1102
Imaging elasticity of tissues. BibRef

Chaudhry, A., Unnikrishnan, G., Reddy, J.N., Krouskop, T.A., Righetti, R.,
Effect of Permeability on the Performance of Elastographic Imaging Techniques,
MedImg(32), No. 2, February 2013, pp. 189-199.
IEEE DOI 1301
BibRef

Schmitt, C., Montagnon, E., Hadj Henni, A., Qi, S., Cloutier, G.,
Shear Wave Induced Resonance Elastography of Venous Thrombi: A Proof-of-Concept,
MedImg(32), No. 3, March 2013, pp. 565-577.
IEEE DOI 1303
BibRef

Zhao, H.[Heng], Song, P.F.[Peng-Fei], Meixner, D.D., Kinnick, R.R., Callstrom, M.R., Sanchez, W., Urban, M.W., Manduca, A., Greenleaf, J.F., Chen, S.[Shigao],
External Vibration Multi-Directional Ultrasound Shearwave Elastography (EVMUSE): Application in Liver Fibrosis Staging,
MedImg(33), No. 11, November 2014, pp. 2140-2148.
IEEE DOI 1411
biomechanics BibRef

Audiere, S., Angelini, E.D., Sandrin, L., Charbit, M.,
Maximum Likelihood Estimation of Shear Wave Speed in Transient Elastography,
MedImg(33), No. 6, June 2014, pp. 1338-1349.
IEEE DOI 1407
Computational modeling BibRef

Pattison, A.J., McGarry, M., Weaver, J.B., Paulsen, K.D.,
Spatially-Resolved Hydraulic Conductivity Estimation Via Poroelastic Magnetic Resonance Elastography,
MedImg(33), No. 6, June 2014, pp. 1373-1380.
IEEE DOI 1407
Conductivity BibRef

Hamaluik, K., Moussa, W., Ferguson-Pell, M.,
Numerical Characterization of Quasi-Static Ultrasound Elastography for the Detection of Deep Tissue Injuries,
MedImg(33), No. 7, July 2014, pp. 1410-1421.
IEEE DOI 1407
Deformable models BibRef

Bal, G.[Guillaume], Imperiale, S.[Sébastien],
Displacement Reconstructions in Ultrasound Elastography,
SIIMS(8), No. 2, 2015, pp. 1070-1089.
DOI Link 1507
BibRef

Glatz, T.[Thomas], Scherzer, O.[Otmar], Widlak, T.[Thomas],
Texture Generation for Photoacoustic Elastography,
JMIV(52), No. 3, July 2015, pp. 369-384.
WWW Link. 1506
BibRef

Poree, J., Garcia, D., Chayer, B., Ohayon, J., Cloutier, G.,
Noninvasive Vascular Elastography With Plane Strain Incompressibility Assumption Using Ultrafast Coherent Compound Plane Wave Imaging,
MedImg(34), No. 12, December 2015, pp. 2618-2631.
IEEE DOI 1601
biomechanics BibRef

Honarvar, M., Sahebjavaher, R.S., Rohling, R., Salcudean, S.E.,
A Comparison of Finite Element-Based Inversion Algorithms, Local Frequency Estimation, and Direct Inversion Approach Used in MRE,
MedImg(36), No. 8, August 2017, pp. 1686-1698.
IEEE DOI 1708
Elasticity, Elastography, Filter banks, Finite element analysis, Frequency estimation, Inverse problems, Mathematical model, Dynamic elastography, finite element method, inverse problem, magnetic resonance elastography, medical imaging, sparsity, regularization BibRef

Papadacci, C., Bunting, E.A., Konofagou, E.E.,
3D Quasi-Static Ultrasound Elastography With Plane Wave In Vivo,
MedImg(36), No. 2, February 2017, pp. 357-365.
IEEE DOI 1702
Phantoms BibRef

Omidyeganeh, M., Xiao, Y., Ahmad, M.O., Rivaz, H.,
Estimation of Strain Elastography from Ultrasound Radio-Frequency Data by Utilizing Analytic Gradient of the Similarity Metric,
MedImg(36), No. 6, June 2017, pp. 1347-1358.
IEEE DOI 1706
Correlation, Elastography, Estimation, Radio frequency, Strain, Ultrasonic imaging, Ultrasound elastography, cost function optimization, direct strain estimation, gradient descent, liver ablation, liver cancer, normalized, cross, correlation BibRef

Tan, L., McGarry, M.D.J., van Houten, E.E.W., Ji, M., Solamen, L., Weaver, J.B., Paulsen, K.D.,
Gradient-Based Optimization for Poroelastic and Viscoelastic MR Elastography,
MedImg(36), No. 1, January 2017, pp. 236-250.
IEEE DOI 1701
Brain modeling BibRef

Mellema, D.C.[Daniel C.], Song, P.F.[Peng-Fei], Kinnick, R.R.[Randall R.], Trzasko, J.D., Urban, M.W.[Matthew W.], Greenleaf, J.F.[James F.], Manduca, A.[Armando], Chen, S.,
Probe Oscillation Shear Wave Elastography: Initial In Vivo Results in Liver,
MedImg(37), No. 5, May 2018, pp. 1214-1223.
IEEE DOI 1805
Elastography, Liver, Probes, Real-time systems, Ultrasonic imaging, Vibrations, High frame-rate, liver elastography, ultrasound elastography BibRef

Shih, C., Qian, X., Ma, T., Han, Z., Huang, C., Zhou, Q., Shung, K.K.,
Quantitative Assessment of Thin-Layer Tissue Viscoelastic Properties Using Ultrasonic Micro-Elastography With Lamb Wave Model,
MedImg(37), No. 8, August 2018, pp. 1887-1898.
IEEE DOI 1808
Acoustics, Ultrasonic imaging, Cornea, Arteries, Biomedical measurement, Phantoms, Viscosity, viscoelasticity of artery BibRef

Islam, M.T., Chaudhry, A., Tang, S., Tasciotti, E., Righetti, R.,
A New Method for Estimating the Effective Poisson's Ratio in Ultrasound Poroelastography,
MedImg(37), No. 5, May 2018, pp. 1178-1191.
IEEE DOI 1805
Cost function, Elastography, Estimation, Optical imaging, Radio frequency, Strain, Ultrasonic imaging, ultrasound elastography BibRef

Hubmer, S.[Simon], Sherina, E.[Ekaterina], Neubauer, A.[Andreas], Scherzer, O.[Otmar],
Lamé Parameter Estimation from Static Displacement Field Measurements in the Framework of Nonlinear Inverse Problems,
SIIMS(11), No. 2, 2018, pp. 1268-1293.
DOI Link 1807
static elastography BibRef

Kijanka, P., Urban, M.W.,
Local Phase Velocity Based Imaging: A New Technique Used for Ultrasound Shear Wave Elastography,
MedImg(38), No. 4, April 2019, pp. 894-908.
IEEE DOI 1904
Frequency-domain analysis, Phantoms, Liver, Ultrasonic imaging, Elastography, Lesions, Shear wave elastography (SWE), ultrasound, imaging BibRef

Islam, M.T., Chaudhry, A., Righetti, R.,
A Robust Method to Estimate the Time Constant of Elastographic Parameters,
MedImg(38), No. 6, June 2019, pp. 1358-1370.
IEEE DOI 1906
Strain, Creep, Steady-state, Mathematical model, Elastography, Stress, Cancer imaging, ultrasound poroelastography, Levenberg-Marquardt BibRef

Yoon, H., Zhu, Y.I., Yarmoska, S.K., Emelianov, S.Y.,
Design and Demonstration of a Configurable Imaging Platform for Combined Laser, Ultrasound, and Elasticity Imaging,
MedImg(38), No. 7, July 2019, pp. 1622-1632.
IEEE DOI 1907
Lasers, Ultrasonic imaging, Cancer, Optical imaging, Nonlinear optics, Optical pulses, Cancer diagnosis, ultrasound imaging BibRef

Mirzaei, M., Asif, A., Rivaz, H.,
Combining Total Variation Regularization with Window-Based Time Delay Estimation in Ultrasound Elastography,
MedImg(38), No. 12, December 2019, pp. 2744-2754.
IEEE DOI 1912
Strain, Phantoms, Imaging phantoms, Interpolation, Radio frequency, Splines (mathematics), Estimation, Ultrasound elastography, window-based TDE BibRef

Barnhill, E., Nikolova, M., Ariyurek, C., Dittmann, F., Braun, J., Sack, I.,
Fast Robust Dejitter and Interslice Discontinuity Removal in MRI Phase Acquisitions: Application to Magnetic Resonance Elastography,
MedImg(38), No. 7, July 2019, pp. 1578-1587.
IEEE DOI 1907
Noise reduction, Mathematical model, Magnetic resonance elastography, Physiology, image denoising BibRef

Li, H., Porée, J., Chayer, B., Cardinal, M.H.R., Cloutier, G.,
Parameterized Strain Estimation for Vascular Ultrasound Elastography With Sparse Representation,
MedImg(39), No. 12, December 2020, pp. 3788-3800.
IEEE DOI 2012
Strain, Discrete cosine transforms, Estimation, Optical flow, Cost function, Computational modeling, principal strains BibRef

Goswami, S.[Soumya], Ahmed, R.[Rifat], Khan, S.[Siladitya], Doyley, M.M.[Marvin M.], McAleavey, S.A.[Stephen A.],
Shear Induced Non-Linear Elasticity Imaging: Elastography for Compound Deformations,
MedImg(39), No. 11, November 2020, pp. 3559-3570.
IEEE DOI 2011
Strain, Elastography, Tensors, Compounds, Elasticity, Propagation, Acoustoelasticity, quasi-static and shear wave elastography, complex tissue motion BibRef

Zeng, W., Gordon-Wylie, S.W., Tan, L., Solamen, L., McGarry, M.D.J., Weaver, J.B., Paulsen, K.D.,
Nonlinear Inversion MR Elastography With Low-Frequency Actuation,
MedImg(39), No. 5, May 2020, pp. 1775-1784.
IEEE DOI 2005
Elastography, Mechanical factors, Mathematical model, Image reconstruction, Finite element analysis, Phantoms, viscoelastic modeling BibRef

de Hoop, H., Petterson, N.J., van de Vosse, F.N., van Sambeek, M.R.H.M., Schwab, H.M., Lopata, R.G.P.,
Multiperspective Ultrasound Strain Imaging of the Abdominal Aorta,
MedImg(39), No. 11, November 2020, pp. 3714-3724.
IEEE DOI 2011
BibRef
And: Corrections: MedImg(40), No. 12, December 2021, pp. 3968-3968.
IEEE DOI 2112
Strain, Biomedical imaging, Transducers, Geometry, Image resolution, Ultrasonic imaging, Ultrasound, multiperspective, abdominal aorta, elastography BibRef

Kijanka, P.[Piotr], Urban, M.W.[Matthew W.],
Phase Velocity Estimation With Expanded Bandwidth in Viscoelastic Phantoms and Tissues,
MedImg(40), No. 5, May 2021, pp. 1352-1362.
IEEE DOI 2105
Shear wave elastography (SWE), ultrasound, acoustic radiation force (ARF), dispersion, soft tissue, liver, in vivo BibRef

Gendin, D.I., Nayak, R., Wang, Y., Bayat, M., Fazzio, R.T., Oberai, A.A., Hall, T.J., Barbone, P.E., Alizad, A., Fatemi, M.,
Repeatability of Linear and Nonlinear Elastic Modulus Maps From Repeat Scans in the Breast,
MedImg(40), No. 2, February 2021, pp. 748-757.
IEEE DOI 2102
Strain, Elasticity, Imaging, Breast, Lesions, Ultrasonic imaging, Tracking, Elastography, breast cancer, inverse problem, quantitative, elastic nonlinearity BibRef

Li, G.Y.[Guo-Yang], Jiang, Y.X.[Yu-Xuan], Zheng, Y.[Yang], Xu, W.Q.[Wei-Qiang], Zhang, Z.Y.[Zhao-Yi], Cao, Y.P.[Yan-Ping],
Arterial Stiffness Probed by Dynamic Ultrasound Elastography Characterizes Waveform of Blood Pressure,
MedImg(41), No. 6, June 2022, pp. 1510-1519.
IEEE DOI 2206
Biomedical monitoring, Ultrasonic imaging, Blood pressure, Transducers, Ultrasonic variables measurement, pulse wave BibRef

Evain, E.[Ewan], Sun, Y.Y.[Yun-Yun], Faraz, K.[Khuram], Garcia, D.[Damien], Saloux, E.[Eric], Gerber, B.L.[Bernhard L.], de Craene, M.[Mathieu], Bernard, O.[Olivier],
Motion Estimation by Deep Learning in 2D Echocardiography: Synthetic Dataset and Validation,
MedImg(41), No. 8, August 2022, pp. 1911-1924.
IEEE DOI 2208
Ultrasonic imaging, Myocardium, Motion estimation, Strain, Imaging, Speckle, Reverberation, Deep learning, echocardiography, ultrasound imaging BibRef

Tehrani, A.K.Z.[Ali K. Z.], Ashikuzzaman, M.[Md], Rivaz, H.[Hassan],
Lateral Strain Imaging Using Self-Supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography,
MedImg(42), No. 5, May 2023, pp. 1462-1471.
IEEE DOI 2305
Strain, Training, Imaging, Estimation, Ultrasonic imaging, Radio frequency, Elastography, Convolutional neural network, effective Poisson's ratio BibRef

Ma, S.Y.[Sheng-Yuan], Wang, R.[Runke], Qiu, S.[Suhao], Li, R.[Ruokun], Yue, Q.[Qi], Sun, Q.[Qingfang], Chen, L.[Liang], Yan, F.[Fuhua], Yang, G.Z.[Guang-Zhong], Feng, Y.[Yuan],
MR Elastography With Optimization-Based Phase Unwrapping and Traveling Wave Expansion-Based Neural Network (TWENN),
MedImg(42), No. 9, September 2023, pp. 2631-2642.
IEEE DOI 2310
BibRef

Ashikuzzaman, M.[Md], Tehrani, A.K.Z.[Ali K. Z.], Rivaz, H.[Hassan],
Exploiting Mechanics-Based Priors for Lateral Displacement Estimation in Ultrasound Elastography,
MedImg(42), No. 11, November 2023, pp. 3307-3322.
IEEE DOI Code:
WWW Link. 2311
BibRef

Kurtz, S.[Samuel], Wattrisse, B.[Bertrand], van Houten, E.E.W.[Elijah E. W.],
Minimizing Measurement-Induced Errors in Viscoelastic MR Elastography,
MedImg(43), No. 3, March 2024, pp. 1138-1148.
IEEE DOI 2403
Mathematical models, Magnetic field measurement, Image reconstruction, Noise measurement, Linear programming, reconstructive imaging BibRef


Hosseini, Z.[Zahra], Khadem, A.[Ali], Bibalan, M.H.[Mohammadreza Hassannejad],
Window-Based Strain Estimation Using Weighted Displacement Obtained from Normalized Cross-Correlation,
IPRIA21(1-6)
IEEE DOI 2201
Image quality, Visualization, Ultrasonic imaging, Estimation, Phantoms, Imaging, Data models, Ultrasound elastography, strain, weighted window BibRef

Wen, S.J.[Shuo-Jie], Peng, B.[Bo], Jiang, H.[Hao], Cao, J.[Junkai], Jiang, J.F.[Jing-Feng],
Augmenting 3D Ultrasound Strain Elastography by combining Bayesian inference with local Polynomial fitting in Region-growing-based Motion Tracking,
ICIP21(2963-2967)
IEEE DOI 2201
In vivo, Ultrasonic imaging, Tracking, Fitting, Phantoms, Imaging, Bayesian Inference, 3D Motion Tracking, Breast Imaging BibRef

Peng, B., Yang, T., He, T., Jiang, J.,
Augmented Region-Growing-Based Motion Tracking Using Bayesian Inference For Quasi-Static Ultrasound Elastography,
ICIP20(2960-2964)
IEEE DOI 2011
Tracking, Ultrasonic imaging, Bayes methods, Strain, Inference algorithms, Elastography, In vivo, Bayersian inference, Breast Cancer BibRef

Zayed, A.[Abdelrahman], Rivaz, H.[Hassan],
Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography,
ICIAR19(II:462-472).
Springer DOI 1909
BibRef

Miller, R.[Renee], Kolipaka, A.[Arunark], Nash, M.P.[Martyn P.], Young, A.A.[Alistair A.],
Identification of Transversely Isotropic Properties from Magnetic Resonance Elastography Using the Optimised Virtual Fields Method,
FIMH17(421-431).
Springer DOI 1706
BibRef

Miller, R.[Renee], Jiang, H.D.[Hao-Dan], Mazumder, R.[Ria], Cowan, B.R.[Brett R.], Nash, M.P.[Martyn P.], Kolipaka, A.[Arunark], Young, A.A.[Alistair A.],
Determining Anisotropic Myocardial Stiffness from Magnetic Resonance Elastography: A Simulation Study,
FIMH15(346-354).
Springer DOI 1507
BibRef

Wang, J.[Jun], Zhang, H.[Heye], Lu, M.H.[Min-Hua], Liu, H.F.[Hua-Feng], Hu, Z.H.[Zheng-Hui],
Elastographic image reconstruction: A stochastic state space approach,
ICIP11(2017-2020).
IEEE DOI 1201
Model based reconstruction. BibRef

Sánchez, C.A.[C. Antonio], Drapaca, C.S.[Corina S.], Sivaloganathan, S.[Sivabal], Vrscay, E.R.[Edward R.],
Elastography of Biological Tissue: Direct Inversion Methods That Allow for Local Shear Modulus Variations,
ICIAR10(II: 195-206).
Springer DOI 1006
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications -- Cancer Diagnosis and Analysis .


Last update:Mar 25, 2024 at 16:07:51