21.12 Medical Applications -- Ultrasound, Ultrasonic

Chapter Contents (Back)
Ultrasound.
See also Photoacoustic Tomography, Ultrasonic, Generation.
See also Freehand Ultrasound, Ultrasonic, Generation.
See also HIFU: High Intensity Focused Ultrasound. Other than medical issues:
See also Acoustic, Sonar Sensors for Range, Underwater Acoustic Sensing.
See also Elastography Analysis.

EchoeScan,
2002.
WWW Link. Vendor, Ultrasound. Ultrasound imaging (not devices).

Silverstein, S.D., Thomas, L.J.,
Analytical comparison of sensor signal processing enhancements for NDT synthetic aperture ultrasonic imaging,
IP(2), No. 1, January 1993, pp. 60-67.
IEEE DOI 0402
BibRef

Kotropoulos, C., Magnisalis, X., Pitas, I., Strintzis, M.G.,
Nonlinear ultrasonic image processing based on signal-adaptive filters and self-organizing neural networks,
IP(3), No. 1, January 1994, pp. 65-77.
IEEE DOI 0402
BibRef

Abeyratne, U.R., Petropulu, A.P., Reid, J.M.,
On modeling the tissue response from ultrasonic B-scan images,
MedImg(15), No. 4, August 1996, pp. 479-490.
IEEE Top Reference. 0203
BibRef

Wang, X.Y.[Xin-Yu], Ritchie, C.J., Kim, Y.M.[Yong-Min],
Elevation direction deconvolution in three-dimensional ultrasound imaging,
MedImg(15), No. 3, June 1996, pp. 389-394.
IEEE Top Reference. 0203
BibRef

Beetner, D.G., Arthur, R.M.,
Generation of synthetic-focus images from pulse-echo ultrasound using difference equations,
MedImg(15), No. 5, October 1996, pp. 665-672.
IEEE Top Reference. 0203
BibRef

Kiymik, M.K., Guler, I., Hasekioglu, O., Karaman, M.,
Ultrasound Imaging Based on Multiple Beamforming with Coded Excitation,
SP(58), No. 1, April 1997, pp. 107-113. 9707
BibRef

Karaman, M.,
Ultrasonic array imaging based on spatial interpolation,
ICIP96(I: 745-748).
IEEE DOI 9610
BibRef

Sanches, J.M.[Joăo M.], Marques, J.S.[Jorge S.],
A Rayleigh reconstruction/interpolation algorithm for 3D ultrasound,
PRL(21), No. 10, October 2000, pp. 917-926. 0008
BibRef

Sanches, J.M.[Joăo M.], Marques, J.S.[Jorge S.],
Joint image registration and volume reconstruction for 3D ultrasound,
PRL(24), No. 4-5, February 2003, pp. 791-800.
Elsevier DOI 0211
BibRef
Earlier:
3d Reconstruction from Log-compressed Rayleigh Images,
ICIP01(I: 345-348).
IEEE DOI 0108
BibRef
Earlier:
Alignment-by-reconstruction for 3D Ultrasound Imaging,
ICPR00(Vol III: 37-40).
IEEE DOI
IEEE DOI 0009
BibRef

Sanches, J.M., Bioucas-Dias, J.M., Marques, J.S.,
Minimum Total Variation in 3D Ultrasound Reconstruction,
ICIP05(III: 597-600).
IEEE DOI 0512
BibRef

Sanches, J.M.[Joăo M.], Marques, J.S.[Jorge S.],
Image Reconstruction using the Benford Law,
ICIP06(2029-2032).
IEEE DOI 0610
BibRef

Sanches, J.M.[Joăo M.], Marques, J.S.[Jorge S.],
A Fast MAP Algorithm for 3D Ultrasound,
EMMCVPR01(63-74).
Springer DOI 0205
BibRef
Earlier:
A map IIR filter for 3D ultrasound,
ICIP02(II: 957-960).
IEEE DOI 0210
BibRef

Wahle, A., Prause, G.P.M., de Jong, S.C., Sonka, M.,
Geometrically correct 3-D reconstruction of intravascular ultrasound images by fusion with biplane angiography-methods and validation,
MedImg(18), No. 8, August 1999, pp. 686-699.
IEEE Top Reference. 0110
BibRef

Cardinal, H.N., Gill, J.D., Fenster, A.,
Analysis of geometrical distortion and statistical variance in length, area, and volume in a linearly scanned 3-D ultrasound image,
MedImg(19), No. 6, June 2000, pp. 632-651.
IEEE Top Reference. 0110
BibRef

Cincotti, G., Loi, G., Pappalardo, M.,
Frequency decomposition and compounding of ultrasound medical images with wavelet packets,
MedImg(20), No. 8, August 2001, pp. 764-771.
IEEE Top Reference. 0110
BibRef

Silverstein, S.D.,
A Robust Auto-Focusing Algorithm for Medical Ultrasound: Consistent Phase References from Scaled Cross-Correlation Functions,
SPLetters(8), No. 6, June 2001, pp. 177-179.
IEEE Top Reference. 0106
BibRef

Silverstein, S.D., Zheng, Y.B.[Yi-Bin],
3-D image reconstruction from near-field coherently scattered waves,
ICIP03(III: 161-164).
IEEE DOI 0312
BibRef

Biagi, E., Breschi, L., Granchi, S., Masotti, L.,
Comments on 'Frequency Decomposition and Computing of Ultrasound Medical Images with Wavelet Packets',
MedImg(21), No. 7, July 2002, pp. 834-836.
IEEE Top Reference. 0210
BibRef

Pastorelli, A., Torricelli, G., Scabia, M., Biagi, E., Masotti, L.,
A Real-Time 2-D Vector Doppler System for Clinical Experimentation,
MedImg(27), No. 10, October 2008, pp. 1515-1524.
IEEE DOI 0810
BibRef

Cincotti, G., Loi, G.[Giovanna], Pappalardo, M.,
Reply to the comments on 'Frequency Decomposition and Compounding of Ultrasound Medical Images with Wavelet Packets',
MedImg(21), No. 7, July 2002, pp. 836-837.
IEEE Top Reference. 0210
BibRef

Dong, J.[Juzhong], Horita, Y., Murai, T.,
An algorithm using projection onto subspace of prior distributions for long-wavelength sound wave CT,
MedImg(20), No. 7, July 2001, pp. 583-594.
IEEE Top Reference. 0110
BibRef

Shekhar, R., Zagrodsky, V.,
Mutual information-based rigid and nonrigid registration of ultrasound volumes,
MedImg(21), No. 1, January 2002, pp. 9-22.
IEEE Top Reference. 0202
BibRef

Xiao, G.F.[Guo-Fang], Brady, M., Noble, J.A., Zhang, Y.Y.[Yong-Yue],
Segmentation of ultrasound B-mode images with intensity inhomogeneity correction,
MedImg(21), No. 1, January 2002, pp. 48-57.
IEEE Top Reference. 0202
BibRef

Scherzer, O.[Otmar], Schoisswohl, A.[Armin],
A Fast and Robust Algorithm for 2D/3D Panorama Ultrasound Data,
RealTimeImg(8), No. 1, February 2002, pp. 53-60.
DOI Link 0204
BibRef

Stetson, P.F., Sommer, F.G., Macovski, A.,
Lesion contrast enhancement in medical ultrasound imaging,
MedImg(16), No. 4, August 1997, pp. 416-425.
IEEE Top Reference. 0205
BibRef

Yin, R.[Ruming], Flynn, P.J.[Patrick J.], Broschat, S.L.[Shira L.],
Position-dependent defocus processing for acoustic holography images,
IJIST(12), No. 3, 2002, pp. 101-111. 0210
BibRef

Bridal, S.L., Correas, J.M., Saied, A., Laugier, P.,
Milestones on the road to higher resolution, quantitative, and functional ultrasonic imaging,
PIEEE(91), No. 10, October 2003, pp. 1543-1561.
IEEE DOI 0310
BibRef

Lizzi, F.L.[Frederic L.], Feleppa, E.J.[Ernest J.], Alam, S.K.[S. Kaisar], Deng, C.X.[Cheri X.],
Ultrasonic spectrum analysis for tissue evaluation,
PRL(24), No. 4-5, February 2003, pp. 637-658.
Elsevier DOI 0211
BibRef

Chiou, J.Y.[Jr-Yuan], Ahn, C.B.[Chang Beom], Muftuler, L.T., Nalcioglu, O.,
A simple simultaneous geometric and intensity correction method for echo-planar imaging by EPI-based phase modulation,
MedImg(22), No. 2, February 2003, pp. 200-205.
IEEE Top Reference. 0304
BibRef

Lunn, K.E., Paulsen, K.D., Roberts, D.W., Kennedy, F.E., Hartov, A., West, J.D.,
Displacement estimation with co-registered ultrasound for image guided neurosurgery: A quantitative in vivo porcine study,
MedImg(22), No. 11, November 2003, pp. 1358-1368.
IEEE Abstract. 0311
BibRef

Christiansen, J.P., Lindner, J.R.,
Molecular and Cellular Imaging with Targeted Contrast Ultrasound,
PIEEE(93), No. 4, April 2005, pp. 809-818.
IEEE DOI 0504
BibRef

Mitri, F.G., Trompette, P., Chapelon, J.Y.,
Improving the Use of Vibro-Acoustography for Brachytherapy Metal Seed Imaging: A Feasibility Study,
MedImg(23), No. 1, January 2004, pp. 1-6.
IEEE Abstract. 0403
BibRef

Huang, S.F., Chang, R.F., Chen, D.R., Moon, W.K.,
Characterization of Spiculation on Ultrasound Lesions,
MedImg(23), No. 1, January 2004, pp. 111-121.
IEEE Abstract. 0403
BibRef

Nguyen, N.Q., Abbey, C.K., Insana, M.F.,
An Adaptive Filter to Approximate the Bayesian Strategy for Sonographic Beamforming,
MedImg(30), No. 1, January 2011, pp. 28-37.
IEEE DOI 1101
BibRef

Wilhjelm, J.E., Jensen, M.S., Jespersen, S.K., Sahl, B., Falk, E.,
Visual and Quantitative Evaluation of Selected Image Combination Schemes in Ultrasound Spatial Compound Scanning,
MedImg(23), No. 2, February 2004, pp. 181-190.
IEEE Abstract. 0403
BibRef

Abolmaesumi, P., Sirouspour, M.R.,
An Interacting Multiple Model Probabilistic Data Association Filter for Cavity Boundary Extraction From Ultrasound Images,
MedImg(23), No. 6, June 2004, pp. 772-784.
IEEE Abstract. 0406
BibRef

Lee, K.J., Papadakis, N.G., Barber, D.C., Wilkinson, I.D., Griffiths, P.D., Paley, M.N.J.,
A Method of Generalized Projections (MGP) Ghost Correction Algorithm for Interleaved EPI,
MedImg(23), No. 7, July 2004, pp. 839-848.
IEEE Abstract. 0407
echo planar imaging. BibRef

Alizad, A., Wold, L.E., Greenleaf, J.F., Fatemi, M.,
Imaging Mass Lesions by Vibro-Acoustography: Modeling and Experiments,
MedImg(23), No. 9, September 2004, pp. 1087-1093.
IEEE Abstract. 0409
BibRef

Fatemi, M., Manduca, A., Greenleaf, J.F.,
Imaging elastic properties of biological tissues by low-frequency harmonic vibration,
PIEEE(91), No. 10, October 2003, pp. 1503-1519.
IEEE DOI 0310
BibRef

Zhang, X., Zeraati, M., Kinnick, R.R., Greenleaf, J.F., Fatemi, M.,
Vibration Mode Imaging,
MedImg(26), No. 6, June 2007, pp. 843-852.
IEEE DOI 0706
BibRef

Haun, M.A., Jones, D.L., O'Brien, W.D.,
Overdetermined Least-Squares Aberration Estimates Using Common-Midpoint Signals,
MedImg(23), No. 10, October 2004, pp. 1205-1220.
IEEE Abstract. 0410
Medical ultrasound. Apply geophysical techniques. BibRef

Bashford, G.R., Tomsen, N., Arya, S., Burnfield, J.M., Kulig, K.,
Tendinopathy Discrimination by Use of Spatial Frequency Parameters in Ultrasound B-Mode Images,
MedImg(27), No. 5, May 2008, pp. 608-615.
IEEE DOI 0711
BibRef

Wang, Z., Li, J., Wu, R.,
Time-Delay- and Time-Reversal-Based Robust Capon Beamformers for Ultrasound Imaging,
MedImg(24), No. 10, October 2005, pp. 1308-1322.
IEEE DOI 0510
BibRef

Eltoft, T.,
The Rician Inverse Gaussian Distribution: A New Model for Non-Rayleigh Signal Amplitude Statistics,
IP(14), No. 11, November 2005, pp. 1722-1735.
IEEE DOI 0510
BibRef
Earlier:
A New Statistical Model for Non-Rayleigh Amplitude Signals,
ICIP03(I: 233-236).
IEEE DOI 0312
Filtering of ultrasound. BibRef

Eltoft, T.,
Modeling the Amplitude Statistics of Ultrasonic Images,
MedImg(25), No. 2, February 2006, pp. 229-240.
IEEE DOI 0602
BibRef

King, A.P., Rhode, K.S., Razavi, R.S., Schaeffter, T.R.,
An Adaptive and Predictive Respiratory Motion Model for Image-Guided Interventions: Theory and First Clinical Application,
MedImg(28), No. 12, December 2009, pp. 2020-2032.
IEEE DOI 0912
BibRef

Hata, Y., Kobashi, S., Kondo, K., Kitamura, Y.T., Yanagida, T.,
Transcranial Ultrasonography System for Visualizing Skull and Brain Surface Aided by Fuzzy Expert System,
SMC-B(35), No. 6, December 2005, pp. 1360-1373.
IEEE DOI 0512
BibRef

Hou, J.[Jidong], Rose, S.T.[S. Timothy], Hinders, M.K.[Mark K.],
Ultrasonic Periodontal Probing Based on the Dynamic Wavelet Fingerprint,
JASP(2005), No. 7, 2005, pp. 1137-1146.
WWW Link. 0603
BibRef

Kaur, L., Chauhan, R.C., Saxena, S.C.,
Adaptive compression of medical ultrasound images,
VISP(153), No. 2, April 2006, pp. 185-190.
DOI Link 0604
BibRef

Lavarello, R.J., Kamalabadi, F., O'Brien, Jr., W.D.,
A Regularized Inverse Approach to Ultrasonic Pulse-Echo Imaging,
MedImg(25), No. 6, June 2006, pp. 712-722.
IEEE DOI 0606
BibRef

Bashford, G.R., Morse, J.L.,
Circular Ultrasound Compounding by Designed Matrix Weighting,
MedImg(25), No. 6, June 2006, pp. 732-741.
IEEE DOI 0606
BibRef

Delgorge, C., Rosenberger, C., Poisson, G., Vieyres, P.,
Towards a New Tool for the Evaluation of the Quality of Ultrasound Compressed Images,
MedImg(25), No. 11, November 2006, pp. 1502-1509.
IEEE DOI 0611
BibRef

Norton, S.J.[Stephen J.], Vo-Dinh, T.[Tuan],
Imaging the Distribution of Magnetic Nanoparticles With Ultrasound,
MedImg(26), No. 5, May 2007, pp. 660-665.
IEEE DOI 0705
BibRef

Wein, W., Rper, B., Navab, N.,
Integrating Diagnostic B-Mode Ultrasonography Into CT-Based Radiation Treatment Planning,
MedImg(26), No. 6, June 2007, pp. 866-879.
IEEE DOI 0706
BibRef

Viola, F., Ellis, M.A., Walker, W.F.,
Time-Domain Optimized Near-Field Estimator for Ultrasound Imaging: Initial Development and Results,
MedImg(27), No. 1, January 2008, pp. 99-110.
IEEE DOI 0712
BibRef

Huang, S.F., Chang, R.F., Moon, W.K., Lee, Y.H., Chen, D.R., Suri, J.S.,
Analysis of Tumor Vascularity Using Three-Dimensional Power Doppler Ultrasound Images,
MedImg(27), No. 3, March 2008, pp. 320-330.
IEEE DOI 0803
BibRef

Carneiro, G.[Gustavo], Georgescu, B.[Bogdan], Good, S.[Sara], Comaniciu, D.[Dorin],
Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree,
MedImg(27), No. 9, September 2008, pp. 1342-1355.
IEEE DOI 0809
BibRef

Carneiro, G.[Gustavo], Amat, F.[Fernando], Georgescu, B.[Bogdan], Good, S.[Sara], Comaniciu, D.[Dorin],
Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Yousefi, A., Goertz, D.E., Hynynen, K.,
Transcranial Shear-Mode Ultrasound: Assessment of Imaging Performance and Excitation Techniques,
MedImg(28), No. 5, May 2009, pp. 763-774.
IEEE DOI 0905
BibRef

Karaman, M., Wygant, I.O., Oralkan, O., Khuri-Yakub, B.T.,
Minimally Redundant 2-D Array Designs for 3-D Medical Ultrasound Imaging,
MedImg(28), No. 7, July 2009, pp. 1051-1061.
IEEE DOI 0906
BibRef

Haltmeier, M., Scherzer, O., Zangerl, G.,
A Reconstruction Algorithm for Photoacoustic Imaging Based on the Nonuniform FFT,
MedImg(28), No. 11, November 2009, pp. 1727-1735.
IEEE DOI 0911
BibRef

Haltmeier, M.[Markus], Pereverzyev, Jr., S.[Sergiy],
Recovering a Function from Circular Means or Wave Data on the Boundary of Parabolic Domains,
SIIMS(8), No. 1, 2015, pp. 592-610.
DOI Link 1504

See also Sampling Conditions for the Circular Radon Transform. BibRef

Rosenthal, A., Razansky, D., Ntziachristos, V.,
Quantitative Optoacoustic Signal Extraction Using Sparse Signal Representation,
MedImg(28), No. 12, December 2009, pp. 1997-2006.
IEEE DOI 0912
Quantification issues in reconstruction of acoustic signals. BibRef

Dean-Ben, X.L., Ma, R., Razansky, D., Ntziachristos, V.,
Statistical Approach for Optoacoustic Image Reconstruction in the Presence of Strong Acoustic Heterogeneities,
MedImg(30), No. 2, February 2011, pp. 401-408.
IEEE DOI 1102
BibRef

Dean-Ben, X.L., Ntziachristos, V., Razansky, D.,
Acceleration of Optoacoustic Model-Based Reconstruction Using Angular Image Discretization,
MedImg(31), No. 5, May 2012, pp. 1154-1162.
IEEE DOI 1202
BibRef

Cox, B.T., Treeby, B.E.,
Artifact Trapping During Time Reversal Photoacoustic Imaging for Acoustically Heterogeneous Media,
MedImg(29), No. 2, February 2010, pp. 387-396.
IEEE DOI 1002
BibRef

Carpio, A., Johansson, B.T., Rapún, M.L.,
Determining Planar Multiple Sound-Soft Obstacles from Scattered Acoustic Fields,
JMIV(36), No. 2, February 2010, pp. xx-yy.
Springer DOI 1002
BibRef

Meghoufel, A., Cloutier, G., Crevier-Denoix, N., de Guise, J.A.,
Tissue Characterization of Equine Tendons With Clinical B-Scan Images Using a Shock Filter Thinning Algorithm,
MedImg(30), No. 3, March 2011, pp. 597-605.
IEEE DOI 1103
BibRef

Ribeiro, F.P., Nascimento, V.H.,
Fast Transforms for Acoustic Imaging: Part I: Theory,
IP(20), No. 8, August 2011, pp. 2229-2240.
IEEE DOI 1108
BibRef

Ribeiro, F.P., Nascimento, V.H.,
Fast Transforms for Acoustic Imaging: Part II: Applications,
IP(20), No. 8, August 2011, pp. 2241-2247.
IEEE DOI 1108
BibRef

Mauldin, Jr., F.W., Lin, D., Hossack, J.A.,
The Singular Value Filter: A General Filter Design Strategy for PCA-Based Signal Separation in Medical Ultrasound Imaging,
MedImg(30), No. 11, November 2011, pp. 1951-1964.
IEEE DOI 1111
BibRef

So, H.K.H.[Hayden K.H.], Chen, J.Y.[Jun-Ying], Yiu, B.Y.S.[Billy Y.S.], Yu, A.C.H.[Alfred C.H.],
Medical Ultrasound Imaging: To GPU or Not to GPU?,
IEEE Micro(31), No. 5, September/October 2011, pp. 54-65.
IEEE DOI Part of the issue discussing GPUs vs. CPUs for computation. BibRef 1109

de Senneville, B.D.[B. Denis], Roujol, S., Hey, S., Moonen, C., Ries, M.,
Extended Kalman Filtering for Continuous Volumetric MR-Temperature Imaging,
MedImg(32), No. 4, April 2013, pp. 711-718.
IEEE DOI 1304
BibRef

Chen, C., Wang, Y., Yu, J., Zhou, Z., Shen, L., Chen, Y.,
Tracking Pylorus in Ultrasonic Image Sequences With Edge-Based Optical Flow,
MedImg(31), No. 3, March 2012, pp. 843-855.
IEEE DOI 1203
BibRef

Burger, B., Bettinghausen, S., Radle, M., Hesser, J.,
Real-Time GPU-Based Ultrasound Simulation Using Deformable Mesh Models,
MedImg(32), No. 3, March 2013, pp. 609-618.
IEEE DOI 1303
BibRef

Namburete, A.I.L.[Ana I. L.], Rahmatullah, B.[Bahbibi], Noble, J.A.[J. Alison],
Nakagami-Based AdaBoost Learning Framework for Detection of Anatomical Landmarks in 2D Fetal Neurosonograms,
BMVA(2013), No. 1, 2013, pp. 2, 1-16.
PDF File. 1304
BibRef

Wang, M., Byram, B., Palmeri, M., Rouze, N., Nightingale, K.,
Imaging Transverse Isotropic Properties of Muscle by Monitoring Acoustic Radiation Force Induced Shear Waves Using a 2-D Matrix Ultrasound Array,
MedImg(32), No. 9, 2013, pp. 1671-1684.
IEEE DOI 1309
Acoustic radiation force BibRef

de Craene, M., Marchesseau, S., Heyde, B., Gao, H., Alessandrini, M., Bernard, O., Piella, G., Porras, A.R., Tautz, L., Hennemuth, A., Prakosa, A., Liebgott, H., Somphone, O., Allain, P., Ebeid, S.M.[S. Makram], Delingette, H., Sermesant, M., d'Hooge, J., Saloux, E.,
3D Strain Assessment in Ultrasound (Straus): A Synthetic Comparison of Five Tracking Methodologies,
MedImg(32), No. 9, 2013, pp. 1632-1646.
IEEE DOI 1309
Biomechanical modeling BibRef

Denarie, B., Tangen, T.A., Ekroll, I.K., Rolim, N., Torp, H., Bjastad, T., Lovstakken, L.,
Coherent Plane Wave Compounding for Very High Frame Rate Ultrasonography of Rapidly Moving Targets,
MedImg(32), No. 7, 2013, pp. 1265-1276.
IEEE DOI 1307
acoustic noise BibRef

Zheng, B.[Bo], Ishikawa, R.[Ryo], Takamatsu, J.[Jun], Oishi, T.[Takeshi], Ikeuchi, K.[Katsushi],
A coarse-to-fine IP-driven registration for pose estimation from single ultrasound image,
CVIU(117), No. 12, 2013, pp. 1647-1658.
Elsevier DOI 1310
BibRef
Earlier: A1, A2, A4, A3, A5:
6-DOF pose estimation from single Ultrasound image using 3D IP models,
OTCBVS08(1-8).
IEEE DOI 0806
Ultrasound image BibRef

Huang, Q.H.[Qing-Hua], Yang, Z.[Zhao], Hu, W.[Wei], Jin, L.W.[Lian-Wen], Wei, G.[Gang], Li, X.L.[Xue-Long],
Linear Tracking for 3-D Medical Ultrasound Imaging,
Cyber(43), No. 6, 2013, pp. 1747-1754.
IEEE DOI 1312
Bluetooth BibRef

Song, P., Zhao, H., Urban, M.W., Manduca, A., Pislaru, S.V., Kinnick, R.R., Pislaru, C., Greenleaf, J.F., Chen, S.,
Improved Shear Wave Motion Detection Using Pulse-Inversion Harmonic Imaging With a Phased Array Transducer,
MedImg(32), No. 12, 2013, pp. 2299-2310.
IEEE DOI 1312
Acoustic beams BibRef

Rueda, S., Fathima, S., Knight, C.L., Yaqub, M., Papageorghiou, A.T., Rahmatullah, B., Foi, A., Maggioni, M., Pepe, A., Tohka, J., Stebbing, R.V., McManigle, J.E., Ciurte, A., Bresson, X., Cuadra, M.B., Sun, C., Ponomarev, G.V., Gelfand, M.S., Kazanov, M.D., Wang, C.W., Chen, H.C., Peng, C.W., Hung, C.M., Noble, J.A.,
Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge,
MedImg(33), No. 4, April 2014, pp. 797-813.
IEEE DOI 1404
Biomedical imaging BibRef

Buehler, A., Dean-Ben, X.L., Razansky, D., Ntziachristos, V.,
Volumetric Optoacoustic Imaging With Multi-Bandwidth Deconvolution,
MedImg(33), No. 4, April 2014, pp. 814-821.
IEEE DOI 1404
Bandwidth BibRef

Ingle, A., Varghese, T.,
Three-Dimensional Sheaf of Ultrasound Planes Reconstruction (SOUPR) of Ablated Volumes,
MedImg(33), No. 8, August 2014, pp. 1677-1688.
IEEE DOI 1408
Image reconstruction BibRef

Mateo, T., Chang, A., Mofid, Y., Pisella, P.J., Ossant, F.,
Axial Ultrasound B-Scans of the Entire Eye With a 20-MHz Linear Array: Correction of Crystalline Lens Phase Aberration by Applying Fermat's Principle,
MedImg(33), No. 11, November 2014, pp. 2149-2166.
IEEE DOI 1411
biomedical transducers BibRef

Christensen-Jeffries, K., Browning, R.J., Tang, M.X., Dunsby, C., Eckersley, R.J.,
In Vivo Acoustic Super-Resolution and Super-Resolved Velocity Mapping Using Microbubbles,
MedImg(34), No. 2, February 2015, pp. 433-440.
IEEE DOI 1502
Ear BibRef

Elbau, P., Scherzer, O.,
Modelling the Effect of Focusing Detectors in Photoacoustic Sectional Imaging,
SIIMS(8), No. 1, 2015, pp. 1-18.
DOI Link 1503
BibRef

Matrone, G., Savoia, A.S., Caliano, G., Magenes, G.,
The Delay Multiply and Sum Beamforming Algorithm in Ultrasound B-Mode Medical Imaging,
MedImg(34), No. 4, April 2015, pp. 940-949.
IEEE DOI 1504
Apertures BibRef

Wu, S.F.[Shao-Fei],
An Optimized Ultrasonic Sensors System,
Sensors(182), No. 11, November 2014, pp. 33-41.
HTML Version. 1504
BibRef

Trots, I., Tasinkevych, Y., Nowicki, A.,
Orthogonal Golay Codes With Local Beam Pattern Correction in Ultrasonic Imaging,
SPLetters(22), No. 10, October 2015, pp. 1681-1684.
IEEE DOI 1506
Golay codes BibRef

Roy, S.[Souvik], Krishnan, V.P.[Venkateswaran P.], Chandrashekar, P.[Praveen], Murthy, A.S.V.[A. S. Vasudeva],
An Efficient Numerical Algorithm for the Inversion of an Integral Transform Arising in Ultrasound Imaging,
JMIV(53), No. 1, September 2015, pp. 78-91.
Springer DOI 1505
BibRef

Taylor, J.R., Chan, J.J.M.[J.J. Mijares], Thomas, G.,
Wavelet-based blind deconvolution of near-field ultrasound scans,
IET-IPR(9), No. 8, 2015, pp. 672-679.
DOI Link 1506
Wiener filters BibRef

Khazendar, S.[Shan], Farren, J.[Jessica], Al-Assam, H.[Hisham], Du, H.B.[Hong-Bo], Sayasneh, A.[Ahmed], Bourne, T.[Tom], Jassim, S.[Sabah],
Automatic Identification of Miscarriage Cases Supported by Decision Strength Using Ultrasound Images of the Gestational Sac,
BMVA(2015), No. 5, 2015, pp. 1-16.
PDF File. 1509
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Biswas, R.[Rakesh], Sarawadekar, K.[Kishor], Varna, S.[Srinivas], Banerjee, S.[Swapna],
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acoustic signal processing BibRef

Le, Y.[Yi], Xu, X.Z.[Xian-Ze], Zha, L.[Li], Zhao, W.C.[Wen-Cheng], Zhu, Y.Y.[Yan-Yan],
Tumour localisation in ultrasound-guided high-intensity focused ultrasound ablation using improved gradient and direction vector flow,
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DOI Link 1511
biomedical ultrasonics BibRef

Lorintiu, O., Liebgott, H., Alessandrini, M., Bernard, O., Friboulet, D.,
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IEEE DOI 1601
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Compressed sensing reconstruction of 3D ultrasound data using dictionary learning,
ICIP14(1317-1321)
IEEE DOI 1502
biological organs Biomedical imaging BibRef

Lorintiu, O., Liebgott, H., Friboulet, D.,
Compressed Sensing Doppler Ultrasound Reconstruction Using Block Sparse Bayesian Learning,
MedImg(35), No. 4, April 2016, pp. 978-987.
IEEE DOI 1604
Bayes methods BibRef

Nguyen, N.Q., Prager, R.W.,
High-Resolution Ultrasound Imaging With Unified Pixel-Based Beamforming,
MedImg(35), No. 1, January 2016, pp. 98-108.
IEEE DOI 1601
Apertures BibRef

Nguyen, N.Q., Prager, R.W.,
Minimum Variance Approaches to Ultrasound Pixel-Based Beamforming,
MedImg(36), No. 2, February 2017, pp. 374-384.
IEEE DOI 1702
Apertures BibRef

Banerjee, J., Klink, C., Niessen, W.J., Moelker, A., van Walsum, T.,
4D Ultrasound Tracking of Liver and its Verification for TIPS Guidance,
MedImg(35), No. 1, January 2016, pp. 52-62.
IEEE DOI 1601
Liver BibRef

Mulleti, S.[Satish], Seelamantula, C.S.[Chandra Sekhar],
Ellipse Fitting Using the Finite Rate of Innovation Sampling Principle,
IP(25), No. 3, March 2016, pp. 1451-1464.
IEEE DOI 1602
Data models BibRef

Mulleti, S.[Satish], Nagesh, S.[Sudarshan], Langoju, R.[Rajesh], Patil, A.[Abhijit], Seelamantula, C.S.[Chandra Sekhar],
Ultrasound image reconstruction using the finite-rate-of-innovation principle,
ICIP14(1728-1732)
IEEE DOI 1502
Delays BibRef

Destrempes, F., Franceschini, E., Yu, F.T.H., Cloutier, G.,
Unifying Concepts of Statistical and Spectral Quantitative Ultrasound Techniques,
MedImg(35), No. 2, February 2016, pp. 488-500.
IEEE DOI 1602
Attenuation BibRef

Stanziola, A., Toulemonde, M., Yildiz, Y.O., Eckersley, R.J., Tang, M.X.,
Ultrasound Imaging with Microbubbles,
SPMag(33), No. 2, March 2016, pp. 111-117.
IEEE DOI 1603
Life Sciences. Blood BibRef

Bottenus, N., Long, W., Zhang, H.K., Jakovljevic, M., Bradway, D.P., Boctor, E.M., Trahey, G.E.,
Feasibility of Swept Synthetic Aperture Ultrasound Imaging,
MedImg(35), No. 7, July 2016, pp. 1676-1685.
IEEE DOI 1608
biological tissues BibRef

Yang, X., Zhang, Y., Zhao, K., Zhao, Y., Liu, Y., Gong, H., Luo, Q., Zhu, D.,
Skull Optical Clearing Solution for Enhancing Ultrasonic and Photoacoustic Imaging,
MedImg(35), No. 8, August 2016, pp. 1903-1906.
IEEE DOI 1608
Acoustics BibRef

Kang, H.J., Bell, M.A.L., Guo, X., Boctor, E.M.,
Spatial Angular Compounding of Photoacoustic Images,
MedImg(35), No. 8, August 2016, pp. 1845-1855.
IEEE DOI 1608
Biomedical optical imaging BibRef

Druskin, V.[Vladimir], Mamonov, A.V.[Alexander V.], Thaler, A.E.[Andrew E.], Zaslavsky, M.[Mikhail],
Direct, Nonlinear Inversion Algorithm for Hyperbolic Problems via Projection-Based Model Reduction,
SIIMS(9), No. 2, 2016, pp. 684-747.
DOI Link 1608
Acoustic waves. BibRef

Druskin, V.[Vladimir], Mamonov, A.V.[Alexander V.], Zaslavsky, M.[Mikhail],
A Nonlinear Method for Imaging with Acoustic Waves Via Reduced Order Model Backprojection,
SIIMS(11), No. 1, 2018, pp. 164-196.
DOI Link 1804
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Dimoulas, C.A.,
Audiovisual Spatial-Audio Analysis by Means of Sound Localization and Imaging: A Multimedia Healthcare Framework in Abdominal Sound Mapping,
MultMed(18), No. 10, October 2016, pp. 1969-1976.
IEEE DOI 1610
acoustic signal processing BibRef

Matrone, G., Ramalli, A., Savoia, A.S., Tortoli, P., Magenes, G.,
High Frame-Rate, High Resolution Ultrasound Imaging With Multi-Line Transmission and Filtered-Delay Multiply And Sum Beamforming,
MedImg(36), No. 2, February 2017, pp. 478-486.
IEEE DOI 1702
Filtered-delay multiply and sum beamforming BibRef

Arvanitis, C.D., Crake, C., McDannold, N., Clement, G.T.,
Passive Acoustic Mapping with the Angular Spectrum Method,
MedImg(36), No. 4, April 2017, pp. 983-993.
IEEE DOI 1704
Acoustics BibRef

Liu, J.[Jing], He, Q.[Qiong], Luo, J.W.[Jian-Wen],
A Compressed Sensing Strategy for Synthetic Transmit Aperture Ultrasound Imaging,
MedImg(36), No. 4, April 2017, pp. 878-891.
IEEE DOI 1704
Apertures BibRef

Chen, Y.R.[Yin-Ran], Liu, J.[Jing], Luo, X.B.[Xiong-Biao], Luo, J.W.[Jian-Wen],
ApodNet: Learning for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging,
MedImg(40), No. 11, November 2021, pp. 3190-3204.
IEEE DOI 2111
Imaging, Array signal processing, Ultrasonic imaging, Focusing, Spatial resolution, Image resolution, Training, Contrast, ultrasound imaging BibRef

Gong, P., Song, P., Chen, S.,
Delay-Encoded Harmonic Imaging (DE-HI) in Multiplane-Wave Compounding,
MedImg(36), No. 4, April 2017, pp. 952-959.
IEEE DOI 1704
Delays BibRef

Wu, L., Cheng, J.Z., Li, S., Lei, B., Wang, T., Ni, D.,
FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks,
Cyber(47), No. 5, May 2017, pp. 1336-1349.
IEEE DOI 1704
Biomedical imaging BibRef

Jensen, J., Villagomez Hoyos, C.A., Holbek, S., Hansen, K.L.,
Velocity Estimation in Medical Ultrasound [Life Sciences],
SPMag(34), No. 3, May 2017, pp. 94-100.
IEEE DOI 1705
Biomedical image processing, Image reconstruction, Oscillators, Transducers, Ultrasonic imaging, Ultrasonic variables measurement, Velocity, measurement BibRef

Gong, P., Song, P., Chen, S.,
Ultrafast Synthetic Transmit Aperture Imaging Using Hadamard-Encoded Virtual Sources With Overlapping Sub-Apertures,
MedImg(36), No. 6, June 2017, pp. 1372-1381.
IEEE DOI 1706
Apertures, Encoding, Image resolution, Imaging, Signal resolution, Signal to noise ratio, Transducers, Ultrafast ultrasound imaging, coded transmission, synthetic, transmit, aperture, imaging BibRef

Ding, L., Deán-Ben, X.L., Razansky, D.,
Efficient 3-D Model-Based Reconstruction Scheme for Arbitrary Optoacoustic Acquisition Geometries,
MedImg(36), No. 9, September 2017, pp. 1858-1867.
IEEE DOI 1709
ultrasonics, photoacoustic effect, arbitrary shape. BibRef

Hyun, D., Abou-Elkacem, L., Perez, V.A., Chowdhury, S.M., Willmann, J.K., Dahl, J.J.,
Improved Sensitivity in Ultrasound Molecular Imaging With Coherence-Based Beamforming,
MedImg(37), No. 1, January 2018, pp. 241-250.
IEEE DOI 1801
biomedical transducers, biomedical ultrasonics, biomimetics, cancer, cellular biophysics, phantoms, thermal noise, tumours, molecular and cellular imaging BibRef

Hyun, D., Abou-Elkacem, L., Bam, R., Brickson, L.L., Herickhoff, C.D., Dahl, J.J.,
Nondestructive Detection of Targeted Microbubbles Using Dual-Mode Data and Deep Learning for Real-Time Ultrasound Molecular Imaging,
MedImg(39), No. 10, October 2020, pp. 3079-3088.
IEEE DOI 2010
Imaging, Ultrasonic imaging, Neural networks, Mice, Machine learning, Harmonic analysis, Tumors, ultrasound BibRef

Wang, J., Barback, C.V., Ta, C.N., Weeks, J., Gude, N., Mattrey, R.F., Blair, S.L., Trogler, W.C., Lee, H., Kummel, A.C.,
Extended Lifetime In Vivo Pulse Stimulated Ultrasound Imaging,
MedImg(37), No. 1, January 2018, pp. 222-229.
IEEE DOI 1801
biomedical ultrasonics, nanomedicine, nanoparticles, silicon compounds, tumours, LnCAP prostate tumor models, SiO2, visualization BibRef

Bader, K.B., Haworth, K.J., Maxwell, A.D., Holland, C.K.,
Post Hoc Analysis of Passive Cavitation Imaging for Classification of Histotripsy-Induced Liquefaction in Vitro,
MedImg(37), No. 1, January 2018, pp. 106-115.
IEEE DOI 1801
acoustic emission, array signal processing, biomedical ultrasonics, bubbles, cavitation, image classification, passive cavitation imaging BibRef

Hata, Y., Takashima, Y., Tsukuda, K., Kikuchi, S., Ishikawa, T.,
Ultrasonic-Frequency-Based Visualization of Columnar Soft Matter Beyond Wavelength Limitations,
SMCS(48), No. 2, February 2018, pp. 224-231.
IEEE DOI 1801
Acoustics, Data visualization, Fourier transforms, Frequency measurement, Probes, Standards, Wavelength measurement, visualization BibRef

Zhang, Y., Guo, Y., Lee, W.N.,
Ultrafast Ultrasound Imaging Using Combined Transmissions With Cross-Coherence-Based Reconstruction,
MedImg(37), No. 2, February 2018, pp. 337-348.
IEEE DOI 1802
Apertures, Array signal processing, Image quality, Image reconstruction, Imaging, Spatial resolution, ultrasound BibRef

Zhang, Y., Guo, Y., Lee, W.N.,
Ultrafast Ultrasound Imaging With Cascaded Dual-Polarity Waves,
MedImg(37), No. 4, April 2018, pp. 906-917.
IEEE DOI 1804
Biomedical imaging, Decoding, Encoding, Image quality, Signal to noise ratio, Ultrasonic imaging, Coding scheme, ultrasound BibRef

Trots, I., Nowicki, A., Postema, M.,
Ultrasound Image Improvement by Code Bit Elongation,
SPLetters(25), No. 3, March 2018, pp. 437-441.
IEEE DOI 1802
Bandwidth, Correlation, Image coding, Image resolution, Matched filters, Transducers, Ultrasonic imaging, Coded excitation, ultrasound imaging BibRef

Mattausch, O., Goksel, O.,
Image-Based Reconstruction of Tissue Scatterers Using Beam Steering for Ultrasound Simulation,
MedImg(37), No. 3, March 2018, pp. 767-780.
IEEE DOI 1804
biological tissues, biomedical ultrasonics, image reconstruction, inverse problems, medical image processing, phantoms, virtual reality BibRef

Huang, Q., Zeng, Z., Li, X.,
2.5-D Extended Field-of-View Ultrasound,
MedImg(37), No. 4, April 2018, pp. 851-859.
IEEE DOI 1804
Calibration, Data acquisition, Image reconstruction, Probes, Real-time systems. ultrasound BibRef

He, H., Buehler, A., Bozhko, D., Jian, X., Cui, Y., Ntziachristos, V.,
Importance of Ultrawide Bandwidth for Optoacoustic Esophagus Imaging,
MedImg(37), No. 5, May 2018, pp. 1162-1167.
IEEE DOI 1805
Bandwidth, Biomedical imaging, Detectors, Endoscopes, Esophagus, Transducers, Photoacoustic imaging, esophagus imaging, ultrawide bandwidth BibRef

Allman, D., Reiter, A., Bell, M.A.L.,
Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning,
MedImg(37), No. 6, June 2018, pp. 1464-1477.
IEEE DOI 1806
Acoustics, Array signal processing, Neural networks, Photoacoustic imaging, Signal to noise ratio, Testing, Training, reflection artifacts BibRef

Ma, F.Q.A.[Fu-Qi-Ang], Liu, F.J.[Fang-Jie], Zhang, X.T.[Xiao-Tong], Wang, P.[Peng], Bai, H.Y.[Hong-Ying], Guo, H.[Hang],
An ultrasonic positioning algorithm based on maximum correntropy criterion extended Kalman filter weighted centroid,
SIViP(12), No. 6, September 2018, pp. 1207-1215.
Springer DOI 1808
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Luchies, A.C., Byram, B.C.,
Deep Neural Networks for Ultrasound Beamforming,
MedImg(37), No. 9, September 2018, pp. 2010-2021.
IEEE DOI 1809
Ultrasonic imaging, Frequency-domain analysis, Training, Neurons, Neural networks, Array signal processing, Scattering, off-axis scattering BibRef

Otesteanu, C.F., Sanabria, S.J., Goksel, O.,
Robust Reconstruction of Elasticity Using Ultrasound Imaging and Multi-Frequency Excitations,
MedImg(37), No. 11, November 2018, pp. 2502-2513.
IEEE DOI 1811
Elasticity, Image reconstruction, Finite element analysis, Robustness, Strain, Ultrasonic imaging, Imaging, optimization problems BibRef

Lyka, E., Coviello, C.M., Paverd, C., Gray, M.D., Coussios, C.C.,
Passive Acoustic Mapping Using Data-Adaptive Beamforming Based on Higher Order Statistics,
MedImg(37), No. 12, December 2018, pp. 2582-2592.
IEEE DOI 1812
Ultrasonic imaging, Array signal processing, Signal resolution, Calibration, Acoustics, Monitoring, Sensor arrays, ultrasound BibRef

Sejdic, E., Malandraki, G.A., Coyle, J.L.,
Computational Deglutition: Using Signal- and Image-Processing Methods to Understand Swallowing and Associated Disorders,
SPMag(36), No. 1, January 2019, pp. 138-146.
IEEE DOI 1901
[Life Sciences] Esophagus, Muscles, Pharynx, Liquids, Testing, Instruments, Medical services BibRef

Yoon, Y.H., Khan, S., Huh, J., Ye, J.C.,
Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning,
MedImg(38), No. 2, February 2019, pp. 325-336.
IEEE DOI 1902
Radio frequency, Imaging, Neural networks, Ultrasonic imaging, Machine learning, Image reconstruction, Redundancy, Hankel matrix BibRef

Vaidya, A.S.[Avinash S.], Srinivas, M.B.,
A frequency domain beamspace adaptive receive beamformer for ultrasound imaging systems: phantom simulation results,
SIViP(13), No. 3, April 2019, pp. 591-599.
WWW Link. 1904
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Njiki, M.[Mickael], Elouardi, A.[Abdelhafid], Bouaziz, S.[Samir], Casula, O.[Olivier], Roy, O.[Olivier],
A multi-FPGA architecture-based real-time TFM ultrasound imaging,
RealTimeIP(16), No. 2, April 2019, pp. 505-521.
Springer DOI 1904
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Murphy, E.K., Skinner, J., Martucci, M., Rutkove, S.B., Halter, R.J.,
Toward Electrical Impedance Tomography Coupled Ultrasound Imaging for Assessing Muscle Health,
MedImg(38), No. 6, June 2019, pp. 1409-1419.
IEEE DOI 1906
Electrodes, Tomography, Conductivity, Impedance, Muscles, Image reconstruction, Impedance measurement, Data fusion, inverse problem BibRef

Morgan, M.R., Trahey, G.E., Walker, W.F.,
Multi-covariate Imaging of Sub-resolution Targets,
MedImg(38), No. 7, July 2019, pp. 1690-1700.
IEEE DOI 1907
Imaging, Apertures, Covariance matrices, Ultrasonic imaging, Scattering, Spatial coherence, Mathematical model, Ultrasound, quantification and estimation BibRef

Qu, F.L.[Feng-Long], Yang, J.Q.[Jia-Qing], Zhang, H.W.[Hai-Wen],
Shape Reconstruction in Inverse Scattering by an Inhomogeneous Cavity with Internal Measurements,
SIIMS(12), No. 2, 2019, pp. 788-808.
DOI Link 1907
Acoustic measurements. BibRef

Ji, X., Liu, X., Zhang, B.,
Inverse Acoustic Scattering with Phaseless Far Field Data: Uniqueness, Phase Retrieval, and Direct Sampling Methods,
SIIMS(12), No. 2, 2019, pp. 1163-1189.
DOI Link 1907
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Song, W.[Wuli], Li, L.[Linna], Ren, Z.[Zihui],
Ultrasonic image processing based on fusion super-resolution reconstruction of familiar models,
JVCIR(64), 2019, pp. 102633.
Elsevier DOI 1911
Ultrasonic image, Super-resolution, Coefficient representation, Multi feature fusion BibRef

Alberti, G.S.[Giovanni S.], Ammari, H.[Habib], Romero, F.[Francisco], Wintz, T.[Timothée],
Dynamic Spike Superresolution and Applications to Ultrafast Ultrasound Imaging,
SIIMS(12), No. 3, 2019, pp. 1501-1527.
DOI Link 1911
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Meng, Q., Sinclair, M., Zimmer, V., Hou, B., Rajchl, M., Toussaint, N., Oktay, O., Schlemper, J., Gomez, A., Housden, J., Matthew, J., Rueckert, D., Schnabel, J.A., Kainz, B.,
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging,
MedImg(38), No. 12, December 2019, pp. 2755-2767.
IEEE DOI 1912
Acoustics, Image segmentation, Estimation, Image analysis, Task analysis, Biomedical imaging, Ultrasound imaging, confidence estimation BibRef

van Sloun, R.J.G., Cohen, R., Eldar, Y.C.,
Deep Learning in Ultrasound Imaging,
PIEEE(108), No. 1, January 2020, pp. 11-29.
IEEE DOI 2001
Imaging, Ultrasonic imaging, Doppler effect, Deep learning, Array signal processing, Image resolution, Clutter approximation, ultrasound imaging BibRef

Tan, Q., Wang, C., Liu, J., Huang, J., Li, Y., Xiao, Y., Xia, G., Ma, T., Zheng, H.,
Ultrafast Endoscopic Ultrasonography With Circular Array,
MedImg(39), No. 6, June 2020, pp. 2110-2120.
IEEE DOI 2006
Circular array, endoscopic ultrasonography, ultrafast ultrasound imaging BibRef

Huang, O., Long, W., Bottenus, N., Lerendegui, M., Trahey, G.E., Farsiu, S., Palmeri, M.L.,
MimickNet, Mimicking Clinical Image Post- Processing Under Black-Box Constraints,
MedImg(39), No. 6, June 2020, pp. 2277-2286.
IEEE DOI 2006
Clinical ultrasound, CycleGAN, image enhancement, MimickNet, ultrasound post-processing BibRef

Bueno, P.R.[Paulo R.], Zibetti, M.V.W.[Marcelo V. W.], Maia, J.M.[Joaquim M.],
Real-time ultrasound image reconstruction as an inverse problem on a GPU,
RealTimeIP(17), No. 3, June 2020, pp. 543-554.
Springer DOI 2006
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Zhang, Y., He, X., Tian, Z., Jeong, J.J., Lei, Y., Wang, T., Zeng, Q., Jani, A.B., Curran, W.J., Patel, P., Liu, T., Yang, X.,
Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning,
MedImg(39), No. 7, July 2020, pp. 2302-2315.
IEEE DOI 2007
Needles, Machine learning, Dictionaries, Brachytherapy, Solid modeling, Mathematical model, ultrasound guided brachytherapy BibRef

Bendjador, H., Deffieux, T., Tanter, M.,
The SVD Beamformer: Physical Principles and Application to Ultrafast Adaptive Ultrasound,
MedImg(39), No. 10, October 2020, pp. 3100-3112.
IEEE DOI 2010
Ultrasonic imaging, Imaging, Acoustics, Spatial coherence, Array signal processing, Speckle, Scattering, Adaptive Beamforming, Aberration Correction BibRef

Liu, X., Zhou, T., Lu, M., Yang, Y., He, Q., Luo, J.,
Deep Learning for Ultrasound Localization Microscopy,
MedImg(39), No. 10, October 2020, pp. 3064-3078.
IEEE DOI 2010
Spatial resolution, Convolution, Ultrasonic imaging, Microscopy, In vivo, Convolutional neural networks, deep learning, ultrasound localization microscopy BibRef

Stortz, G., Cahill, L.S., Chandran, A.R., Baschat, A., Sled, J.G., Macgowan, C.K.,
Quantification of Wave Reflection in the Human Umbilical Artery From Asynchronous Doppler Ultrasound Measurements,
MedImg(39), No. 11, November 2020, pp. 3749-3757.
IEEE DOI 2011
Reflection, Arteries, Ultrasonic imaging, Doppler effect, Ultrasonic variables measurement, Pathology, Current measurement, placental pathology BibRef

Afrakhteh, S.[Sajjad], Behnam, H.[Hamid],
A fast and high frame rate adaptive beamforming using DCT-based RF-line recovery in line-by-line ultrasound imaging,
IJIST(30), No. 4, 2020, pp. 1080-1094.
DOI Link 2011
beamforming, delay and sum, discrete cosine transform, minimum variance, reconstruction BibRef

Luijten, B., Cohen, R., de Bruijn, F.J., Schmeitz, H.A.W., Mischi, M., Eldar, Y.C., van Sloun, R.J.G.,
Adaptive Ultrasound Beamforming Using Deep Learning,
MedImg(39), No. 12, December 2020, pp. 3967-3978.
IEEE DOI 2012
Array signal processing, Imaging, Ultrasonic imaging, Deep learning, Image reconstruction, Image quality, Training BibRef

Huijben, I.A.M., Veeling, B.S., Janse, K., Mischi, M., van Sloun, R.J.G.,
Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging,
MedImg(39), No. 12, December 2020, pp. 3955-3966.
IEEE DOI 2012
Task analysis, Image reconstruction, Deep learning, Ultrasonic imaging, Compressed sensing, Biomedical imaging, ultrasound imaging BibRef

Youn, J., Ommen, M.L., Stuart, M.B., Thomsen, E.V., Larsen, N.B., Jensen, J.A.,
Detection and Localization of Ultrasound Scatterers Using Convolutional Neural Networks,
MedImg(39), No. 12, December 2020, pp. 3855-3867.
IEEE DOI 2012
Radio frequency, Ultrasonic imaging, Array signal processing, Phantoms, Transducers, High-density scatterers, ultrasound localization microscopy BibRef

van Sloun, R.J.G., Solomon, O., Bruce, M., Khaing, Z.Z., Wijkstra, H., Eldar, Y.C., Mischi, M.,
Super-Resolution Ultrasound Localization Microscopy Through Deep Learning,
MedImg(40), No. 3, March 2021, pp. 829-839.
IEEE DOI 2103
Location awareness, Deep learning, Ultrasonic imaging, Microscopy, Superresolution, Real-time systems, Standards, Ultrasound, neural network BibRef

Perdios, D., Vonlanthen, M., Martinez, F., Arditi, M., Thiran, J.P.,
CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking,
MedImg(40), No. 3, March 2021, pp. 1078-1089.
IEEE DOI 2103
Imaging, Image reconstruction, Estimation, Transducers, Speckle, Diffraction, Ultrasonic imaging, Biomedical imaging, deep learning, ultrafast ultrasound imaging BibRef

Milecki, L.[Léo], Porée, J.[Jonathan], Belgharbi, H.[Hatim], Bourquin, C.[Chloé], Damseh, R.[Rafat], Delafontaine-Martel, P.[Patrick], Lesage, F.[Frédéric], Gasse, M.[Maxime], Provost, J.[Jean],
A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy,
MedImg(40), No. 5, May 2021, pp. 1428-1437.
IEEE DOI 2105
Ultrasonic imaging, Location awareness, Microscopy, In vivo, Ultrasound Localization Microscopy (ULM) BibRef

Avola, D.[Danilo], Cinque, L.[Luigi], Fagioli, A.[Alessio], Foresti, G.[Gianluca], Mecca, A.[Alessio],
Ultrasound Medical Imaging Techniques: A Survey,
Surveys(54), No. 3, April 2021, pp. xx-yy.
DOI Link 2106
Survey, Ultrasound. computer aided detection, echocardiography, trus, US, abus, Medical image, ultrasound, segmentation, surgeon aid, classification BibRef

Jeon, S.[Seungwan], Choi, W.[Wonseok], Park, B.[Byullee], Kim, C.[Chulhong],
A Deep Learning-Based Model That Reduces Speed of Sound Aberrations for Improved In Vivo Photoacoustic Imaging,
IP(30), 2021, pp. 8773-8784.
IEEE DOI 2111
Imaging, Image reconstruction, Radio frequency, Array signal processing, In vivo, Training, Deep learning, photoacoustic imaging BibRef

Huang, X.Y.[Xin-Yue], Bell, M.A.L.[Muyinatu A. Lediju], Ding, K.[Kai],
Deep Learning for Ultrasound Beamforming in Flexible Array Transducer,
MedImg(40), No. 11, November 2021, pp. 3178-3189.
IEEE DOI 2111
Transducers, Radio frequency, Ultrasonic imaging, Geometry, Arrays, Imaging, Image reconstruction, Ultrasound imaging, beamforming, flexible array transducer BibRef

Hingot, V., Chavignon, A., Heiles, B., Couture, O.,
Measuring Image Resolution in Ultrasound Localization Microscopy,
MedImg(40), No. 12, December 2021, pp. 3812-3819.
IEEE DOI 2112
Location awareness, Spatial resolution, Microscopy, Rats, Ultrasonic imaging, Image reconstruction, Correlation, Nyquist criterion BibRef

Tierney, J.[Jaime], Luchies, A.[Adam], Khan, C.[Christopher], Baker, J.[Jennifer], Brown, D.[Daniel], Byram, B.[Brett], Berger, M.[Matthew],
Training Deep Network Ultrasound Beamformers With Unlabeled In Vivo Data,
MedImg(41), No. 1, January 2022, pp. 158-171.
IEEE DOI 2201
In vivo, Array signal processing, Training, Data models, Training data, Ultrasonic imaging, Image quality, Ultrasound, deep learning BibRef

Knight, A.E.[Anna E.], Trutna, C.A.[Courtney A.], Rouze, N.C.[Ned C.], Hobson-Webb, L.D.[Lisa D.], Caenen, A.[Annette], Jin, F.Q.[Felix Q.], Palmeri, M.L.[Mark L.], Nightingale, K.R.[Kathryn R.],
Full Characterization of in vivo Muscle as an Elastic, Incompressible, Transversely Isotropic Material Using Ultrasonic Rotational 3D Shear Wave Elasticity Imaging,
MedImg(41), No. 1, January 2022, pp. 133-144.
IEEE DOI 2201
Muscles, Transducers, Imaging, Propagation, Anisotropic magnetoresistance, Ultrasonic imaging, Muscle, transverse isotropy BibRef

Fincke, J.[Jonathan], Zhang, X.[Xiang], Shin, B.[Bonghun], Ely, G.[Gregory], Anthony, B.W.[Brian W.],
Quantitative Sound Speed Imaging of Cortical Bone and Soft Tissue: Results From Observational Data Sets,
MedImg(41), No. 3, March 2022, pp. 502-514.
IEEE DOI 2203
Bones, Biological tissues, Imaging, Transducers, Computational modeling, Ultrasonic imaging, Data models, quantitative ultrasound BibRef

Hossain, M.M.[Md Murad], Gallippi, C.M.[Caterina M.],
Quantitative Estimation of Mechanical Anisotropy Using Acoustic Radiation Force (ARF)-Induced Peak Displacements (PD): 'In Silico' and Experimental Demonstration,
MedImg(41), No. 6, June 2022, pp. 1468-1481.
IEEE DOI 2206
Finite element analysis, Anisotropic magnetoresistance, Muscles, Brain modeling, Adaptation models, Acoustics, Ultrasonic imaging, kidney BibRef

You, Q.[Qi], Trzasko, J.D.[Joshua D.], Lowerison, M.R.[Matthew R.], Chen, X.[Xi], Dong, Z.J.[Zhi-Jie], ChandraSekaran, N.V.[Nathiya Vaithiyalingam], Llano, D.A.[Daniel A.], Chen, S.[Shigao], Song, P.F.[Peng-Fei],
Curvelet Transform-Based Sparsity Promoting Algorithm for Fast Ultrasound Localization Microscopy,
MedImg(41), No. 9, September 2022, pp. 2385-2398.
IEEE DOI 2209
Location awareness, Transforms, Imaging, Image reconstruction, Data acquisition, Ultrasonic imaging, Microscopy, super-resolution imaging BibRef

Hristov, D.[Dimitre], Mustonen, L.[Lauri], von Eyben, R.[Rie], Götschel, S.[Sebastian], Minion, M.[Michael], El Kaffas, A.[Ahmed],
Dynamic Contrast-Enhanced Ultrasound Modeling of an Analog to Pseudo-Diffusivity in Intravoxel Incoherent Motion Magnetic Resonance Imaging,
MedImg(41), No. 12, December 2022, pp. 3824-3834.
IEEE DOI 2212
Tumors, Imaging, Magnetic resonance imaging, Ultrasonic imaging, Medical treatment, Mice, Convection-diffusion equation, treatment response BibRef

Kang, J.[Jinbum], Huang, C.[Chiao], Perkins, C.[Charles], Alvarez, A.[Alexander], Kunyansky, L.[Leonid], Witte, R.S.[Russell S.], O'Donnell, M.[Matthew],
Current Source Density Imaging Using Regularized Inversion of Acoustoelectric Signals,
MedImg(42), No. 3, March 2023, pp. 739-749.
IEEE DOI 2303
Imaging, Lead, Image reconstruction, Spatial resolution, Acoustic beams, Acoustics, Acoustoelectric imaging, regularization BibRef

Riemer, K.[Kai], Toulemonde, M.[Matthieu], Yan, J.P.[Ji-Peng], Lerendegui, M.[Marcelo], Stride, E.[Eleanor], Weinberg, P.D.[Peter D.], Dunsby, C.[Christopher], Tang, M.X.[Meng-Xing],
Fast and Selective Super-Resolution Ultrasound In Vivo With Acoustically Activated Nanodroplets,
MedImg(42), No. 4, April 2023, pp. 1056-1067.
IEEE DOI 2304
Imaging, Ultrasonic imaging, In vivo, Acoustics, Electron tubes, Microscopy, Kidney, Phase-change contrast agent, ULM BibRef

Fu, Z.[Zeyu], Jiao, J.B.[Jian-Bo], Yasrab, R.[Robail], Drukker, L.[Lior], Papageorghiou, A.T.[Aris T.], Noble, J.A.[J. Alison],
Anatomy-aware Contrastive Representation Learning for Fetal Ultrasound,
MCV22(422-436).
Springer DOI 2304
BibRef

Yasrab, R.[Robail], Fu, Z.[Zeyu], Zhao, H.[He], Lee, L.H.[Lok Hin], Sharma, H.[Harshita], Drukker, L.[Lior], Papageorgiou, A.T.[Aris T], Noble, J.A.[J. Alison],
A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans,
MedImg(42), No. 5, May 2023, pp. 1301-1313.
IEEE DOI 2305
Ultrasonic imaging, Streaming media, Standards, Annotations, Task analysis, Pregnancy, Ultrasonic variables measurement, clinical workflow BibRef

Chen, G.P.[Gong-Ping], Li, L.[Lei], Zhang, J.[Jianxun], Dai, Y.[Yu],
Rethinking the unpretentious U-net for medical ultrasound image segmentation,
PR(142), 2023, pp. 109728.
Elsevier DOI 2307
Nested U-nets, Ultrasound Image, Breast tumor, Renal ultrasound, Automatic segmentation BibRef

Chen, Y.R.[Yin-Ran], Zhuang, Z.C.[Zi-Chen], Luo, J.W.[Jian-Wen], Luo, X.B.[Xiong-Biao],
Doppler and Pair-Wise Optical Flow Constrained 3D Motion Compensation for 3D Ultrasound Imaging,
IP(32), 2023, pp. 4501-4516.
IEEE DOI 2309
BibRef

Peng, T.[Tao], Wang, C.[Caishan], Tang, C.[Caiyin], Gu, Y.D.[Yi-Dong], Zhao, J.[Jing], Li, Q.[Quan], Cai, J.[Jing],
A multi-center study of ultrasound images using a fully automated segmentation architecture,
PR(145), 2024, pp. 109925.
Elsevier DOI 2311
Medical image processing, Segmentation, Polygon searching method, Quantum evolution network, Mathematical mapping formula BibRef

Jiao, J.[Jing], Sun, H.[Hongshuang], Huang, Y.[Yi], Xia, M.[Menghua], Qiao, M.Y.[Meng-Yun], Ren, Y.Y.[Yun-Yun], Wang, Y.Y.[Yuan-Yuan], Guo, Y.[Yi],
GMRLNet: A Graph-Based Manifold Regularization Learning Framework for Placental Insufficiency Diagnosis on Incomplete Multimodal Ultrasound Data,
MedImg(42), No. 11, November 2023, pp. 3205-3218.
IEEE DOI 2311
BibRef

Li, M.D.[Ming-De], Hu, H.T.[Hang-Tong], Ruan, S.M.[Si-Min], Cheng, M.Q.[Mei-Qing], Chen, L.D.[Li-Da], Huang, Z.R.[Ze-Rong], Li, W.[Wei], Lin, P.[Peng], Yang, H.[Hong], Kuang, M.[Ming], Lu, M.D.[Ming-De], Huang, Q.H.[Qing-Hua], Wang, W.[Wei],
ADMNet: Adaptive-Weighting Dual Mapping for Online Tracking With Respiratory Motion Estimation in Contrast-Enhanced Ultrasound,
IP(33), 2024, pp. 58-68.
IEEE DOI 2312
BibRef

Li, J.J.[Jia-Jia], Zhang, P.P.[Ping-Ping], Wang, T.[Teng], Zhu, L.[Lei], Liu, R.[Ruhan], Yang, X.[Xia], Wang, K.X.[Kai-Xuan], Shen, D.G.[Ding-Gang], Sheng, B.[Bin],
DSMT-Net: Dual Self-Supervised Multi-Operator Transformation for Multi-Source Endoscopic Ultrasound Diagnosis,
MedImg(43), No. 1, January 2024, pp. 64-75.
IEEE DOI 2401
BibRef

Beuret, S.[Samuel], Thiran, J.P.[Jean-Philippe],
Windowed Radon Transform and Tensor Rank-1 Decomposition for Adaptive Beamforming in Ultrafast Ultrasound,
MedImg(43), No. 1, January 2024, pp. 135-148.
IEEE DOI 2401
BibRef

Zhang, Y.[Yong], Luo, Y.[Yan], Qiu, L.[Li], Lu, Q.[Qiang], Lu, X.[Xiao],
Remote ultrasound real-time consultation and quality control system,
IJIST(34), No. 1, 2024, pp. e22969.
DOI Link 2401
delay, image similarity, interactivity, quality control, remote real-time medical consultation, ultrasound BibRef

Chinna, M.L.[Meena Lekshmanan], Mary, J.P.P.[Joe Prathap Pathrose],
Efficient feature extraction and hybrid deep learning for early identification of uterine fibroids in ultrasound images,
IJIST(34), No. 3, 2024, pp. e23073.
DOI Link 2404
classification, early detection, feature extraction, ultrasound image, uterine fibroids BibRef

Degertekin, F.L.[F. Levent],
How Ultrasound Became Ultra Small,
Spectrum(61), No. 4, April 2024, pp. 38-43.
IEEE DOI 2404
Ultrasonic imaging, Hospitals, Probes, Cables, Biomedical imaging BibRef

Li, L.[Long], Yang, J.S.[Jian-Sheng], Zhang, B.[Bo], Zhang, H.[Haiwen],
Direct Imaging Methods for Reconstructing a Locally Rough Interface from Phaseless Total-Field Data or Phased Far-Field Data,
SIIMS(17), No. 1, 2024, pp. 188-224.
DOI Link 2404
scattering of acoustic sound waves. BibRef

Tuccio, G.[Giulia], Afrakhteh, S.[Sajjad], Iacca, G.[Giovanni], Demi, L.[Libertario],
Time Efficient Ultrasound Localization Microscopy Based on A Novel Radial Basis Function 2D Interpolation,
MedImg(43), No. 5, May 2024, pp. 1690-1701.
IEEE DOI 2405
Interpolation, Standards, Location awareness, Ultrasonic imaging, Spatial resolution, Rats, Pipelines, Frame rate, super resolution, RBFs BibRef

Zhu, H.[Hui], Zeng, Y.[Yi], Cai, X.[Xiran],
Passive Acoustic Mapping for Convex Arrays With the Helical Wave Spectrum Method,
MedImg(43), No. 5, May 2024, pp. 1923-1933.
IEEE DOI 2405
Acoustics, Acoustic arrays, Image reconstruction, Imaging, Ultrasonic imaging, Medical treatment, Transducers, Convex array, helical wave spectrum BibRef

Yang, X.C.[Xing-Chen], Castellini, C.[Claudio], Farina, D.[Dario], Liu, H.H.[Hong-Hai],
Ultrasound as a Neurorobotic Interface: A Review,
SMCS(54), No. 6, June 2024, pp. 3534-3546.
IEEE DOI 2405
Ultrasonic imaging, Muscles, Sensors, Robot sensing systems, Transducers, Impedance, Biomedical monitoring, Assistive robotics, ultrasound sensing BibRef

Yang, Y.M.[Yu-Ming], Duan, H.[Huilong], Zheng, Y.F.[Yin-Fei],
Improved Transcranial Plane-Wave Imaging With Learned Speed-of-Sound Maps,
MedImg(43), No. 6, June 2024, pp. 2191-2201.
IEEE DOI 2406
Ultrasonic imaging, Imaging, Image reconstruction, Radio frequency, Acoustics, Convolution, Mathematical models, multi-stencils fast marching method BibRef

Wegierak, D.[Dana], Cooley, M.B.[Michaela B.], Perera, R.[Reshani], Wulftange, W.J.[William J.], Gurkan, U.A.[Umut A.], Kolios, M.C.[Michael C.], Exner, A.A.[Agata A.],
Decorrelation Time Mapping as an Analysis Tool for Nanobubble-Based Contrast Enhanced Ultrasound Imaging,
MedImg(43), No. 6, June 2024, pp. 2370-2380.
IEEE DOI 2406
Imaging, Tumors, Decorrelation, Permeability, Blood, Cancer, Biomedical imaging, Autocorrelation, tumors BibRef

Lerendegui, M.[Marcelo], Riemer, K.[Kai], Papageorgiou, G.[Georgios], Wang, B.X.[Bing-Xue], Arthur, L.[Lachlan], Chavignon, A.[Arthur], Zhang, T.[Tao], Couture, O.[Olivier], Huang, P.[Pingtong], Ashikuzzaman, M.[Md], Dencks, S.[Stefanie], Dunsby, C.[Chris], Helfield, B.[Brandon], Jensen, J.A.[Jřrgen Arendt], Lisson, T.[Thomas], Lowerison, M.R.[Matthew R.], Rivaz, H.[Hassan], Samir, A.E.[Anthony E.], Schmitz, G.[Georg], Schoen, S.[Scott], van Sloun, R.[Ruud], Song, P.F.[Peng-Fei], Stevens, T.[Tristan], Yan, J.P.[Ji-Peng], Sboros, V.[Vassilis], Tang, M.X.[Meng-Xing],
ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging,
MedImg(43), No. 8, August 2024, pp. 2970-2987.
IEEE DOI 2408
Location awareness, Ultrasonic imaging, Spatial resolution, Measurement, Software algorithms, Benchmark testing, challenge BibRef

Yang, K.[Kun], Li, Q.[Qiang], Xu, J.H.[Jia-Hong], Tang, M.X.[Meng-Xing], Wang, Z.[Zhibiao], Tsui, P.H.[Po-Hsiang], Zhou, X.W.[Xiao-Wei],
Frequency-Domain Robust PCA for Real-Time Monitoring of HIFU Treatment,
MedImg(43), No. 8, August 2024, pp. 3001-3012.
IEEE DOI 2408
Sparse matrices, Ultrasonic imaging, Interference, Imaging, Matrix decomposition, Principal component analysis, robust principal component analysis (RPCA) BibRef

Caudoux, M.[Manon], Demeulenaere, O.[Oscar], Porée, J.[Jonathan], Sauvage, J.[Jack], Mateo, P.[Philippe], Ghaleh, B.[Bijan], Flesch, M.[Martin], Ferin, G.[Guillaume], Tanter, M.[Mickael], Deffieux, T.[Thomas], Papadacci, C.[Clement], Pernot, M.[Mathieu],
Curved Toroidal Row Column Addressed Transducer for 3D Ultrafast Ultrasound Imaging,
MedImg(43), No. 9, September 2024, pp. 3279-3291.
IEEE DOI 2409
Imaging, Probes, Transducers, Ultrasonic imaging, Heart, Apertures, 4D ultrafast imaging, ultrasound localization microscopy BibRef

Hahne, C.[Christopher], Chabouh, G.[Georges], Chavignon, A.[Arthur], Couture, O.[Olivier], Sznitman, R.[Raphael],
RF-ULM: Ultrasound Localization Microscopy Learned From Radio-Frequency Wavefronts,
MedImg(43), No. 9, September 2024, pp. 3253-3262.
IEEE DOI Code:
WWW Link. 2409
Location awareness, Radio frequency, Array signal processing, Superresolution, Convolution, Ultrasonic imaging, Kernel, beamforming BibRef

Lu, N.N.[Nan-Nan], Shu, H.Y.[Hong-Yan],
Optimization and Application Analysis of Phase Correction Method Based on Improved Image Registration in Ultrasonic Image Detection,
IJIST(34), No. 6, 2024, pp. e23185.
DOI Link 2410
application optimization, health care, image detection, image registration, phase correction, ultrasound images BibRef

Zhao, Y.Q.[Ya-Qi], Li, Y.[Yue],
Lossless medical ultrasound image compression based on frequency domain decomposition,
JVCIR(104), 2024, pp. 104306.
Elsevier DOI 2411
Medical ultrasound image, Lossless image compression, Frequency domain decomposition BibRef


Ramakers, F.[Florian], Vercauteren, T.[Tom], Deprest, J.[Jan], Williams, H.[Helena],
UltraAugment: Fan-shape and Artifact-based Data Augmentation for 2D Ultrasound Images,
EnhanceMedIm24(2422-2431)
IEEE DOI 2410
Deep learning, Image segmentation, Ultrasonic imaging, Image analysis, Training data, Speckle, Data augmentation, Deep Learning BibRef

Goel, R.[Raghavv], Morales, C.[Cecilia], Singh, M.[Manpreet], Dubrawski, A.[Artur], Galeotti, J.[Jonh], Choset, H.[Howie],
Motion-aware Needle Segmentation in Ultrasound Images,
DEF-AI-MIA24(7886-7891)
IEEE DOI 2410
Optical filters, Image segmentation, Ultrasonic imaging, Motion segmentation, Noise, Needles, Transformers, Kalman-filtering BibRef

Huang, J.H.[Jian-Hua], Huang, K.[Kuan], Xu, M.[Meng], Liu, F.F.[Fei-Fei],
Cfab: An Online Data Augmentation to Alleviate the Spuriousness of Classification on Medical Ultrasound Images,
CVS23(91-101).
Springer DOI 2312
BibRef

Chen, X.T.[Xiao-Teng], Chen, J.[Junying],
Low-Sampling-Frequency Plane wave Medical Ultrasound Imaging based on Adversarial Learning,
ICIP23(2085-2089)
IEEE DOI 2312
BibRef

Chen, Q.[Qi], Min, X.K.[Xiong-Kuo], Duan, H.Y.[Hui-Yu], Zhu, Y.C.[Yu-Cheng], Zhai, G.T.[Guang-Tao],
Muiqa: Image Quality Assessment Database and Algorithm for Medical Ultrasound Images,
ICIP21(2958-2962)
IEEE DOI 2201
Image quality, Ultrasonic imaging, Databases, Ultrasonic variables measurement, Medical services, Manuals, Database BibRef

Shakibaei, B.H.[Barmak Honarvar], Flusser, J.[Jan], Zhao, Y.F.[Yi-Fan], Erkoyuncu, J.A.[John Ahmet], Roy, R.[Rajkumar],
DCT/IDCT Filter Design for Ultrasound Image Filtering,
ICPR21(1804-1811)
IEEE DOI 2105
Wiener filters, Ultrasonic imaging, Finite impulse response filters, Convolution, Filtering, Fetus BibRef

Gravina, M.[Michela], Gragnaniello, D.[Diego], Verdoliva, L.[Luisa], Poggi, G.[Giovanni], Corsini, I.[Iuri], Dani, C.[Carlo], Meneghin, F.[Fabio], Lista, G.[Gianluca], Aversa, S.[Salvatore], Raimondi, F.[Francesco], Migliaro, F.[Fiorella], Sansone, C.[Carlo],
Deep learning in the ultrasound evaluation of neonatal respiratory status,
ICPR21(10493-10499)
IEEE DOI 2105
Training, Deep learning, Pediatrics, Visualization, Ultrasonic imaging, Correlation, Lung BibRef

Alkhatib, M.[Mohammad], Hafiane, A.[Adel], Vieyres, P.[Pierre],
Merged 1D-2D Deep Convolutional Neural Networks for Nerve Detection in Ultrasound Images,
ICPR21(4774-4780)
IEEE DOI 2105
Visualization, Ultrasonic imaging, Merging, Surgery, Computer architecture, Anesthesia, Robustness BibRef

Wu, Y., Shen, K., Chen, Z., Wu, J.,
Automatic Measurement of Fetal Cavum Septum Pellucidum From Ultrasound Images Using Deep Attention Network,
ICIP20(2511-2515)
IEEE DOI 2011
Image segmentation, Biometrics (access control), Ultrasonic imaging, Biological system modeling, U-net BibRef

Yang, H., Shan, C., Kolen, A.F., de With, P.H.N.,
Automated Catheter Localization in Volumetric Ultrasound Using 3D Patch-Wise U-Net with Focal Loss,
ICIP19(1346-1350)
IEEE DOI 1910
3D ultrasound, Catheter localization, 3D U-Net, Dense sampling, Focal loss BibRef

van Sloun, R.J.G.[Ruud J. G.], Demi, L.[Libertario],
B-line Detection and Localization by Means of Deep Learning: Preliminary In-vitro Results,
ICIAR19(I:418-424).
Springer DOI 1909
Lung ultrasound. BibRef

Dhindsa, K., Smail, L.C., McGrath, M., Braga, L.H., Becker, S., Sonnadara, R.R.,
Grading Prenatal Hydronephrosis from Ultrasound Imaging Using Deep Convolutional Neural Networks,
CRV18(80-87)
IEEE DOI 1812
Ultrasonic imaging, Surgery, Biomedical imaging, Reliability, Data models, deep learning, machine learning, ultrasound imaging, computer vision BibRef

Roquette, L., Simeoni, M., Hurley, P.,
A Functional Framework for Ultrasound Imaging,
ICIP18(1837-1841)
IEEE DOI 1809
Imaging, Ultrasonic imaging, Inverse problems, Sensors, Real-time systems, Array signal processing, Transducers, Pulse Compression BibRef

Katakis, S., Barotsis, N., Kastaniotis, D., Theoharatos, C., Tsourounis, D., Fotopoulos, S., Panagiotopoulos, E.,
Muscle Type Classification on Ultrasound Imaging Using Deep Convolutional Neural Networks,
IVMSP18(1-5)
IEEE DOI 1809
Muscles, Feature extraction, Ultrasonic imaging, Task analysis, Convolutional neural networks, Training, High Level Feature Representation BibRef

Bodnariuc, E.[Ecaterina], Petra, S.[Stefania], Schnörr, C.[Christoph], Voorneveld, J.[Jason],
A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry,
GCPR17(138-149).
Springer DOI 1711
BibRef

Wang, J., Che, C., Galeotti, J., Horvath, S., Gorantla, V., Stetten, G.,
Ultrasound Tracking Using ProbeSight: Camera Pose Estimation Relative to External Anatomy by Inverse Rendering of a Prior High-Resolution 3D Surface Map,
WACV17(825-833)
IEEE DOI 1609
Cameras, Optical imaging, Probes, Skin, Target tracking, Ultrasonic, imaging BibRef

Ben Daya, I.[Ibrahim], Chen, A.I.H.[Albert I. H.], Shafiee, M.J.[Mohammad Javad], Wong, A.[Alexander], Yeow, J.T.W.[John T. W.],
Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields,
ICIAR17(107-116).
Springer DOI 1706
BibRef

Billings, S., Albayda, J., Burlina, P.,
Ultrasound image analysis for myopathy detection,
ICPR16(1461-1465)
IEEE DOI 1705
Biomarkers, Correlation, Correlation coefficient, Diseases, Fats, Image segmentation, Muscles, Myopathy, image biomarkers, myositis, regression, ultrasound BibRef

Yüzügüler, A.C., Simon, W., Ibrahim, A., Angiolini, F., Arditi, M., Thiran, J.P., de Micheli, G.,
Demo: Efficient delay and apodization for on-FPGA 3D ultrasound,
DASIP16(227-228)
IEEE DOI 1704
biomedical ultrasonics BibRef

Gómez, A.[Alvaro], Carbajal, G.[Guillermo], Fuentes, M.[Magdalena], Vińoles, C.[Carolina],
Detection of Follicles in Ultrasound Videos of Bovine Ovaries,
CIARP16(352-359).
Springer DOI 1703
BibRef

González, J.G.[Julián Gil], Álvarez, A.M.[Andrés M.], Valencia, A.F.[Andrés F.], Orozco, Á.A.[Álvaro A.],
Automatic Peripheral Nerve Segmentation in Presence of Multiple Annotators,
CIARP17(246-254).
Springer DOI 1802
BibRef

González, J.G.[Julián Gil], Álvarez, M.A.[Mauricio A.], Orozco, Á.A.[Álvaro A.],
Spatial Resolution Enhancement in Ultrasound Images from Multiple Annotators Knowledge,
CIARP16(502-510).
Springer DOI 1703
BibRef

Chen, Z., Shehata, M.S., Gong, M.L.[Ming-Lun], Carnahan, H., Dubrowski, A., Smith, A.,
Feasibility of a semi-automated approach to grading point of care ultrasound image generation skills,
ICVNZ15(1-5)
IEEE DOI 1701
biomedical education BibRef

Wronkowicz, A.[Angelika], Dragan, K.[Krzysztof], Dziendzikowski, M.[Michal], Chalimoniuk, M.[Marek], Sbarufatti, C.[Claudio],
3D Reconstruction of Ultrasonic B-Scans for Nondestructive Testing of Composites,
ICCVG16(266-277).
Springer DOI 1611
BibRef

Ryou, H.[Hosuk], Yaqub, M.[Mohammad], Cavallaro, A.[Angelo], Roseman, F.[Fenella], Papageorghiou, A.[Aris], Noble, J.A.[J. Alison],
Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment,
MLMI16(196-204).
Springer DOI 1611
BibRef

Besson, A., Carrillo, R.E., Bernard, O., Wiaux, Y., Thiran, J.P.,
Compressed delay-and-sum beamforming for ultrafast ultrasound imaging,
ICIP16(2509-2513)
IEEE DOI 1610
Array signal processing BibRef

Porter, R.[Richard], Tadic, V.[Vladislav], Achim, A.[Alin],
Reconstruction of compressively sensed ultrasound RF echoes by exploiting non-Gaussianity and temporal structure,
ICIP15(6-10)
IEEE DOI 1512
compressed sensing; non Gaussian; ultrasound BibRef

Achim, A.[Alin], Basarat, A.[Adrian], Tzagkarakis, G.[George], Tsakalides, P.[Panagiotis], Kouame, D.[Denis],
Reconstruction of compressively sampled ultrasound images using dual prior information,
ICIP14(1283-1286)
IEEE DOI 1502
Compressed sensing BibRef

Englund, R.[Rickard], Ropinski, T.[Timo],
Ultrasound Surface Extraction Using Radial Basis Functions,
ISVC14(II: 163-172).
Springer DOI 1501
BibRef

Chen, H.[Hao], Ni, D.[Dong], Yang, X.[Xin], Li, S.L.[Sheng-Li], Heng, P.A.[Pheng Ann],
Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer,
MLMI14(125-132).
Springer DOI 1410
prenatal ultrasound. BibRef

Danilov, A.A.[Alexander A.], Kramarenko, V.K.[Vasily K.], Yurova, A.S.[Alexandra S.],
Modelling of Bioimpedance Measurements: Application to Sensitivity Analysis,
CompIMAGE14(328-338).
Springer DOI 1407
BibRef

Banerjee, J.[Jyotirmoy], Klink, C.[Camiel], Peters, E.D.[Edward D.], Niessen, W.J.[Wiro J.], Moelker, A.[Adriaan], van Walsum, T.[Theo],
4D Liver Ultrasound Registration,
WBIR14(194-202).
Springer DOI 1407
BibRef

Kim, K.[Kyuhong], Park, S.[Suhyun], Park, S.C.[Sung-Chan], Kang, J.Y.[Joo-Young], Kim, Y.T.[Yun-Tae], Kim, J.H.[Jung-Ho],
Fast transform-based adaptive beamformer for medical ultrasound imaging,
ICIP13(2329-2333)
IEEE DOI 1402
Minimum Variance; PCA; Ultrasound Beamforming BibRef

Afonso, M.V.[Manya V.], Sanches, J.M.R.[Joăo M. R.],
A Total Variation Based Reconstruction Algorithm for 3D Ultrasound,
IbPRIA13(149-156).
Springer DOI 1307
BibRef

Zeng, C.Y.[Chun-Yan], Ma, L.H.[Li-Hong], Du, M.H.[Ming-Hui], Tian, J.[Jing],
Adaptive sparsity reconstruction method for ultrasonic images based on compressive sensing,
ICARCV12(1364-1368).
IEEE DOI 1304
BibRef

Lee, K.H.[Kwang Hee], Lee, S.W.[Sang Wook],
Robust Mid-Sagittal Plane Extraction in 3-D Ultrasound Fetal Volume for First Trimester Screening,
ACCV12(II:316-329).
Springer DOI 1304
BibRef

Harding, P.J.[Peter J.], Hodson-Tole, E.F.[Emma F.], Cunningham, R.[Ryan], Loram, I.[Ian], Costen, N.P.[Nicholas P.],
Automated detection of skeletal muscle twitches from B-mode ultrasound images: An application to motor neuron disease,
ICPR12(2630-2633).
WWW Link. 1302
BibRef

Albouy-Kissi, A., Cormier, S., Tranquart, F.,
Perfusion quantification of contrast-enhanced ultrasound images based on coherence enhancing diffusion and competitive clustering,
ICIP12(2321-2324).
IEEE DOI 1302
BibRef

Kim, B.H.[Bae-Hyung], Lee, S.[Seungheun], Kim, Y.[Youngil], Cho, K.[Kyungil], Kim, D.W.[Dong-Wook], Song, J.[Jongkeun],
Hybrid beamformation for volumetric ultrasound imaging scanners using 2-D array transducers,
ICIP12(2297-2300).
IEEE DOI 1302
BibRef

Lee, S.Y.[Sih-Young], Jo, I.A.[In A], Kim, K.W.[Kyung Won], Lee, J.Y.[Jae Young], Ro, Y.M.[Yong Man],
Enhanced classification of focal hepatic lesions in ultrasound images using novel texture features,
ICIP11(2025-2028).
IEEE DOI 1201
BibRef

Monaci, G.[Gianluca], Woolridge, M.[Mike],
Ultrasound video analysis for understanding infant breastfeeding,
ICIP11(1765-1768).
IEEE DOI 1201
BibRef

Li, Z.C.[Zhi-Cheng], Gu, J.[Jia], Chakareski, J.[Jacob], Wang, L.[Lei],
Ultrasound-based surgical navigation for percutaneous renal intervention: In vivo measurements and in vitro assessment,
ICIP11(2185-2188).
IEEE DOI 1201
BibRef

Rahmatullah, B.[Bahbibi], Papageorghiou, A.[Aris], Noble, J.A.[J. Alison],
Automated Selection of Standardized Planes from Ultrasound Volume,
MLMI11(35-42).
Springer DOI 1109
BibRef

Jiang, L.[Lipei], Deng, S.C.[Shuang-Cheng], Xue, L.[Long], Cao, Y.Y.[Ying-Yu], Cao, J.F.[Jun-Fang], Cai, X.Y.[Xiao-Yun], Liu, X.C.[Xiang-Chen],
An ultrasonic imaging guided medical robot system for microwave ablation therapy,
ICARCV08(1982-1986).
IEEE DOI 1109
BibRef

Sohail, A.S.M.[Abu Sayeed Md.], Bhattacharya, P.[Prabir], Mudur, S.P.[Sudhir P.], Krishnamurthy, S.[Srinivasan],
Classification of Ultrasound Medical Images Using Distance Based Feature Selection and Fuzzy-SVM,
IbPRIA11(176-183).
Springer DOI 1106
BibRef

Miller, C.[Chris], Babb, B.[Brendan], Moore, F.[Frank], Peterson, M.[Michael],
Evolving improved transforms for reconstruction of quantized ultrasound images,
WACV11(256-261).
IEEE DOI 1101
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Photoacoustic Tomography, Ultrasonic, Generation .


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