Bishop, J.,
Samani, A.,
Sciarretta, J.,
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Ultrasound Elastography Based on Multiscale Estimations of Regularized
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0403
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Maurice, R.L.,
Ohayon, J.,
Fretigny, Y.,
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Noninvasive Vascular Elastography: Theoretical Framework,
MedImg(23), No. 2, February 2004, pp. 164-180.
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0403
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Techavipoo, U.,
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Estimation of displacement vectors and strain tensors in elastography
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0412
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Washington, C.W.,
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Modality Independent Elastography (MIE):
A New Approach to Elasticity Imaging,
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0409
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Revell, J.,
Mirmehdi, M.,
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Computer Vision Elastography: Speckle Adaptive Motion Estimation for
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0506
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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.,
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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
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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
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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
Yin, Z.Y.[Zi-Ying],
Li, G.Y.[Guo-Yang],
Zhang, Z.[Zhaoyi],
Zheng, Y.[Yang],
Cao, Y.P.[Yan-Ping],
SWENet: A Physics-Informed Deep Neural Network (PINN) for Shear Wave
Elastography,
MedImg(43), No. 4, April 2024, pp. 1434-1448.
IEEE DOI
2404
Artificial neural networks, Phantoms, Training,
Mathematical models, Elastography, Biological tissues,
tumor biomechanics
BibRef
Kijanka, P.[Piotr],
Urban, M.W.[Matthew W.],
Ultrasound Shear Elastography With Expanded Bandwidth (USEWEB): A
Novel Method for 2D Shear Phase Velocity Imaging of Soft Tissues,
MedImg(43), No. 5, May 2024, pp. 1910-1922.
IEEE DOI
2405
Time-frequency analysis, Ultrasonic imaging, Phantoms, Imaging,
Elastography, Velocity measurement, Dispersion,
Stockwell transform
BibRef
Majumder, S.[Sharmin],
Islam, M.T.[Md. Tauhidul],
Taraballi, F.[Francesca],
Righetti, R.[Raffaella],
Non-Invasive Imaging of Mechanical Properties of Cancers In Vivo
Based on Transformations of the Eshelby's Tensor Using Compression
Elastography,
MedImg(43), No. 8, August 2024, pp. 3027-3043.
IEEE DOI
2408
Tumors, Tensors, Strain, Stress, Cancer, Imaging, Elastography,
Cancer imaging, cancer mechanical properties, elastography, Young's modulus
BibRef
Jiao, W.W.[Wei-Wei],
Han, H.[Hong],
Cai, Y.[Yehua],
He, H.[Haihao],
Chen, H.[Haobo],
Ding, H.[Hong],
Wang, W.P.[Wen-Ping],
Zhang, Q.[Qi],
Cross-Modality Segmentation of Ultrasound Image with Generative
Adversarial Network and Dual Normalization Network,
PR(157), 2025, pp. 110953.
Elsevier DOI
2409
Elastographic ultrasound, Cross-modality segmentation, Deep learning
BibRef
Khan, M.H.R.[Md Hadiur Rahman],
Righetti, R.[Raffaella],
A Novel Poroelastography Method for High-Quality Estimation of
Lateral Strain, Solid Stress, and Fluid Pressure In Vivo,
MedImg(44), No. 1, January 2025, pp. 232-243.
IEEE DOI
2501
Strain, Fluids, Stress, Solids, Ultrasonic imaging, Imaging, Estimation,
Biphasic tissues, fluid pressure, lateral strain,
ultrasound poroelastography
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
HIFU: High Intensity Focused Ultrasound .