21.12.3 Ultrasound, Ultrasonic, Speckle Removal, Restoration, Analysis

Santos, C.A.N., Martins, D.L.N., Mascarenhas, N.D.A.,
Ultrasound Image Despeckling Using Stochastic Distance-Based BM3D,
IP(26), No. 6, June 2017, pp. 2632-2643.
IEEE DOI 1705
AWGN channels, filtering theory, statistical analysis, ultrasonic imaging, BM3D algorithm, Euclidean distance, Fisher-Tippett distribution, block-matching collaborative filtering, despeckling log-compressed ultrasound images, filtering additive white Gaussian noise, medical imaging, patch-based methods, stochastic distance-based BM3D, stochastic distances, ultrasound image despeckling, Euclidean distance, Mathematical model, Random variables, Speckle, Stochastic processes, Ultrasonic imaging, patch-based filtering, stochastic distances, ultrasound, imaging BibRef

Gungor, M.A.[Murat Alparslan], Karagoz, I.[Irfan],
Modified ultrasound despeckling assessment index for the Field II simulated cyst image,
IET-IPR(11), No. 9, September 2017, pp. 667-671.
DOI Link 1709
BibRef

Khvostikov, A.[Alexander], Krylov, A.[Andrey], Kamalov, J.[Julius], Megroyan, A.[Alina],
Ultrasound despeckling by anisotropic diffusion and total variation methods for liver fibrosis diagnostics,
SP:IC(59), No. 1, 2017, pp. 3-11.
Elsevier DOI 1711
Liver, fibrosis BibRef

Mishra, D., Chaudhury, S., Sarkar, M., Soin, A.S., Sharma, V.,
Edge Probability and Pixel Relativity-Based Speckle Reducing Anisotropic Diffusion,
IP(27), No. 2, February 2018, pp. 649-664.
IEEE DOI 1712
Anisotropic magnetoresistance, Image edge detection, Liver, Pollution measurement, Probability, Speckle, Ultrasonic imaging, speckle BibRef

Sa-Ing, V.[Vera], Vorasayan, P.[Pongpat], Suwanwela, N.C.[Nijasri C.], Auethavekiat, S.[Supatana], Chinrungrueng, C.[Chedsada],
Multiscale adaptive regularisation Savitzky-Golay method for speckle noise reduction in ultrasound images,
IET-IPR(12), No. 1, January 2018, pp. 105-112.
DOI Link 1712
BibRef

Khan, A.H.[Adil H.], Al-Asad, J.F.[Jawad F.], Latif, G.[Ghazanfar],
Speckle suppression in medical ultrasound images through Schur decomposition,
IET-IPR(12), No. 3, March 2018, pp. 307-313.
DOI Link 1802
BibRef
And: Corrigendum: IET-IPR(14), No. 9, 20 July 2020, pp. 1948-1948.
DOI Link 2007
BibRef

Shahdoosti, H.R.[Hamid Reza], Rahemi, Z.[Zahra],
A maximum likelihood filter using non-local information for despeckling of ultrasound images,
MVA(29), No. 4, May 2018, pp. 689-702.
WWW Link. 1805
BibRef

Farouj, Y.[Younes], Navarro, L.[Laurent], Freyermuth, J.M.[Jean-Marc], Clausel, M.[Marianne], Delachartre, P.[Philippe],
Ultrasound spatiotemporal despeckling via Kronecker wavelet-Fisz thresholding,
SIViP(12), No. 6, September 2018, pp. 1125-1132.
Springer DOI 1808
BibRef

Mishra, D., Chaudhury, S., Sarkar, M., Soin, A.S.,
Ultrasound Image Enhancement Using Structure Oriented Adversarial Network,
SPLetters(25), No. 9, September 2018, pp. 1349-1353.
IEEE DOI 1809
biomedical ultrasonics, image denoising, image enhancement, medical image processing, neural nets, speckle, speckle BibRef

Raslain, S.[Safia], Hachouf, F.[Fella], Kharfouchi, S.[Soumia],
Using a generalised method of moment approach and 2D-generalised autoregressive conditional heteroscedasticity modelling for denoising ultrasound images,
IET-IPR(12), No. 11, November 2018, pp. 2011-2022.
DOI Link 1810
BibRef

Mafi, M.[Mehdi], Tabarestani, S.[Solale], Cabrerizo, M.[Mercedes], Barreto, A.[Armando], Adjouadi, M.[Malek],
Denoising of ultrasound images affected by combined speckle and Gaussian noise,
IET-IPR(12), No. 12, December 2018, pp. 2346-2351.
DOI Link 1812
BibRef

Chinnathambi, V.[Vimalraj], Sankaralingam, E.[Esakkirajan], Thangaraj, V.[Veerakumar], Padma, S.[Sreevidya],
Despeckling of ultrasound images using directionally decimated wavelet packets with adaptive clustering,
IET-IPR(13), No. 1, January 2019, pp. 206-215.
DOI Link 1812
BibRef

Li, Y., Winetraub, Y., Liba, O., de la Zerda, A., Chu, S.,
Optimization of the Trade-Off Between Speckle Reduction and Axial Resolution in Frequency Compounding,
MedImg(38), No. 1, January 2019, pp. 107-112.
IEEE DOI 1901
Speckle, Bandwidth, Image resolution, Imaging, Signal to noise ratio, Transducers, Ultrasonic imaging, Ultrasound, image enhancement/restoration (noise and artifact reduction) BibRef

Bonny, S.[Sarungbam], Chanu, Y.J.[Yambem Jina], Singh, K.M.[Khumanthem Manglem],
Speckle reduction of ultrasound medical images using Bhattacharyya distance in modified non-local mean filter,
SIViP(13), No. 2, March 2019, pp. 299-305.
Springer DOI 1904
BibRef

Mei, K., Hu, B., Fei, B., Qin, B.,
Phase Asymmetry Ultrasound Despeckling With Fractional Anisotropic Diffusion and Total Variation,
IP(29), 2020, pp. 2845-2859.
IEEE DOI 2001
Image edge detection, Ultrasonic imaging, Speckle, Anisotropic magnetoresistance, Feature extraction, TV, Measurement, image denoising BibRef

Garg, A.[Amit], Khandelwal, V.[Vineet],
Segmentation-based MAP despeckling of medical ultrasound images in shearlet domain based on normal inverse Gaussian distribution,
IET-IPR(14), No. 4, 27 March 2020, pp. 736-746.
DOI Link 2003
BibRef

Ashikuzzaman, M., Belasso, C., Kibria, M.G., Bergdahl, A., Gauthier, C.J., Rivaz, H.,
Low Rank and Sparse Decomposition of Ultrasound Color Flow Images for Suppressing Clutter in Real-Time,
MedImg(39), No. 4, April 2020, pp. 1073-1084.
IEEE DOI 2004
Ultrasound color flow imaging, clutter rejection, robust matrix decomposition, real-time clutter suppression, vessel visualization BibRef

Solomon, O., Cohen, R., Zhang, Y., Yang, Y., He, Q., Luo, J., van Sloun, R.J.G., Eldar, Y.C.,
Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound,
MedImg(39), No. 4, April 2020, pp. 1051-1063.
IEEE DOI 2004
Imaging, Ultrasonic imaging, Iterative methods, Blood, Clutter, Sparse matrices, Principal component analysis, Deep unfolding, ultrasound imaging BibRef

Salehi, H.[Hadi], Vahidi, J.[Javad],
An Ultrasound Image Despeckling Method Based on Weighted Adaptive Bilateral Filter,
IJIG(20), No. 3, July 2020, pp. 2050020.
DOI Link 2008

See also SAR Image Despeckling Method Based on an Extended Adaptive Wiener Filter and Extended Guided Filter, A. BibRef

Salehi, H.[Hadi], Vahidi, J.[Javad],
A Novel Hybrid Filter for Image Despeckling Based On Improved Adaptive Wiener Filter, Bilateral Filter and Wavelet Filter,
IJIG(21), No. 3, July 2021, pp. 2150036.
DOI Link 2107
BibRef

Brickson, L.L., Hyun, D., Jakovljevic, M., Dahl, J.J.,
Reverberation Noise Suppression in Ultrasound Channel Signals Using a 3D Fully Convolutional Neural Network,
MedImg(40), No. 4, April 2021, pp. 1184-1195.
IEEE DOI 2104
Reverberation, Ultrasonic imaging, Imaging, Training, Convolution, Transducers, Ultrasound, machine learning BibRef

Joel, T.[Thapasimuthan], Sivakumar, R.[Rajagopal],
Nonsubsampled contourlet transform with cross-guided bilateral filter for despeckling of medical ultrasound images,
IJIST(31), No. 2, 2021, pp. 763-777.
DOI Link 2105
decomposition, despeckling filter, log compression, multiplicative noise, optimization, Rayleigh distribution, ultrasound images BibRef

Kumar, M.[Manish], Mishra, S.K.[Sudhansu Kumar], Joseph, J.[Justin], Jangir, S.I.K.[Sun-Il Kumar], Goyal, D.[Dinesh],
Adaptive comprehensive particle swarm optimisation-based functional-link neural network filtre model for denoising ultrasound images,
IET-IPR(15), No. 6, 2021, pp. 1232-1246.
DOI Link 2106
BibRef

Cui, W.C.[Wen-Chao], Shao, L.Z.[Liang-Zhi], Gong, G.Q.[Guo-Qiang], Lu, K.[Ke], Sun, S.[Shuifa], Wu, Y.R.[Yi-Rong], Zhou, Y.Y.[Yi-Yuan],
A Weibull-distribution-based hybrid total variation method for speckle reduction in ultrasound images,
IET-IPR(15), No. 13, 2021, pp. 3347-3367.
DOI Link 2110
BibRef

Li, D.Z.[Da-Zi], Yu, W.J.[Wen-Jie], Wang, K.F.[Kun-Feng], Jiang, D.Z.[Dao-Zhong], Jin, Q.B.[Qi-Bing],
Speckle noise removal based on structural convolutional neural networks with feature fusion for medical image,
SP:IC(99), 2021, pp. 116500.
Elsevier DOI 2111
Image denoising, Speckle noise, Convolutional neural network, Medical image BibRef

Lee, S.A.[Stephen A.], Konofagou, E.E.[Elisa E.],
FUS-Net: U-Net-Based FUS Interference Filtering,
MedImg(41), No. 4, April 2022, pp. 915-924.
IEEE DOI 2204
Radio frequency, Interference, Imaging, Ultrasonic imaging, Transducers, Power harmonic filters, Image reconstruction, U-Net BibRef

Huang, Z.X.[Zi-Xun], Zhao, R.[Rui], Leung, F.H.F.[Frank H. F.], Banerjee, S.[Sunetra], Lee, T.T.Y.[Timothy Tin-Yan], Yang, D.[De], Lun, D.P.K.[Daniel P. K.], Lam, K.M.[Kin-Man], Zheng, Y.P.[Yong-Ping], Ling, S.H.[Sai Ho],
Joint Spine Segmentation and Noise Removal From Ultrasound Volume Projection Images With Selective Feature Sharing,
MedImg(41), No. 7, July 2022, pp. 1610-1624.
IEEE DOI 2207
Ultrasonic imaging, Image segmentation, Image restoration, Noise measurement, Multitasking, Task analysis, multi-task spine segmentation BibRef

Yan, J.P.[Ji-Peng], Zhang, T.[Tao], Broughton-Venner, J.[Jacob], Huang, P.T.[Pin-Tong], Tang, M.X.[Meng-Xing],
Super-Resolution Ultrasound Through Sparsity-Based Deconvolution and Multi-Feature Tracking,
MedImg(41), No. 8, August 2022, pp. 1938-1947.
IEEE DOI 2208
Kalman filters, Tracking, Imaging, Deconvolution, Ultrasonic imaging, Cost function, Superresolution, features-based pairing BibRef

Ardakani, A.A.[Ali Abbasian], Mohammadi, A.[Afshin], Faeghi, F.[Fariborz], Acharya, U.R.[U. Rajendra],
Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis,
IJIST(33), No. 2, 2023, pp. 445-464.
DOI Link 2303
denoising filter, Gaussian noise, image denoising, noise reduction, speckle noise, ultrasound images BibRef

Singh, P.[Prabhishek], Diwakar, M.[Manoj],
Total variation-based ultrasound image despeckling using method noise thresholding in non-subsampled contourlet transform,
IJIST(33), No. 3, 2023, pp. 1073-1091.
DOI Link 2305
homomorphic filtering, NSCT, speckle noise, total variation, ultrasound image despeckling BibRef

Hababeh, I.[Ismail], Hammad, L.R.[Lina R.], Daoud, M.I.[Mohammad I.], Al-Najar, M.S.[Mahasen S.],
Empowering ultrasound image filtering precision by reducing speckles and preserving edge cues,
IJIST(34), No. 1, 2024, pp. e22946.
DOI Link 2401
edge cues, edge map, radiation, region of interest, speckle, ultrasound image BibRef

Xing, P.[Paul], Porée, J.[Jonathan], Rauby, B.[Brice], Malescot, A.[Antoine], Martineau, E.[Eric], Perrot, V.[Vincent], Rungta, R.L.[Ravi L.], Provost, J.[Jean],
Phase Aberration Correction for In Vivo Ultrasound Localization Microscopy Using a Spatiotemporal Complex-Valued Neural Network,
MedImg(43), No. 2, February 2024, pp. 662-673.
IEEE DOI 2402
Ultrasonic imaging, Mice, Location awareness, Deep learning, Radio frequency, Probes, Microscopy, Complex-valued convolution, ultrasound localization microscopy BibRef

Ren, J.H.[Jia-Hao], Li, J.[Jian], Liu, C.[Chang], Chen, S.[Shili], Liang, L.[Lin], Liu, Y.[Yang],
Deep Learning With Physics-Embedded Neural Network for Full Waveform Ultrasonic Brain Imaging,
MedImg(43), No. 6, June 2024, pp. 2332-2346.
IEEE DOI 2406
Imaging, Ultrasonic imaging, Brain modeling, Mathematical models, Neuroimaging, Biomedical imaging, Ultrasound tomography, full waveform inversion BibRef

Yang, T.[Taihong], Zhang, T.[Tao], Yao, Y.Q.[Yi-Qing],
SimNFND: A Forward-Looking Sonar Denoising Model Trained on Simulated Noise-Free and Noisy Data,
RS(16), No. 15, 2024, pp. 2815.
DOI Link 2408
BibRef

Stevens, T.S.W.[Tristan S. W.], Meral, F.C.[Faik C.], Yu, J.[Jason], Apostolakis, I.Z.[Iason Z.], Robert, J.L.[Jean-Luc], van Sloun, R.J.G.[Ruud J. G.],
Dehazing Ultrasound Using Diffusion Models,
MedImg(43), No. 10, October 2024, pp. 3546-3558.
IEEE DOI 2411
Ultrasonic imaging, Clutter, Biological system modeling, Radio frequency, Harmonic analysis, Noise reduction, Image quality, posterior sampling BibRef

Alanazi, A.M.[Abdulrahman M.], Venkatakrishnan, S.[Singanallur], Buzzard, G.T.[Gregery T.], Bouman, C.A.[Charles A.],
Ringing Artifact Reduction Method for Ultrasound Reconstruction Using Multi-Agent Consensus Equilibrium,
ICIP23(336-340)
IEEE DOI 2312
BibRef

Tai, T.M.[Tsung-Ming], Jhang, Y.J.[Yun-Jie], Hwang, W.J.[Wen-Jyi], Cheng, C.J.[Chau-Jern],
Speckle Image Restoration without Clean Data,
ICPR22(61-67)
IEEE DOI 2212
Visualization, Ultrasonic imaging, Optical coherence tomography, Speckle, Holography, Radar imaging, Image restoration BibRef

Cammarasana, S.[Simone], Nicolardi, P.[Paolo], Patané, G.[Giuseppe],
Fast Learning Framework for Denoising of Ultrasound 2D Videos and 3D Images,
DeepHealth22(475-486).
Springer DOI 2208
BibRef

Yang, H.[Hanmei], Zhang, H.[Heng], Luo, Y.[Ye], Lu, J.W.[Jian-Wei], Lu, J.[Jian],
Ultrasound Image Restoration Using Weighted Nuclear Norm Minimization,
ICPR21(5391-5397)
IEEE DOI 2105
Measurement, Adaptation models, Ultrasonic imaging, Noise reduction, Speckle, Minimization, Data models BibRef

Paul, A., Mukherjee, D.P., Acton, S.T.,
Shape Based Speckle Removal for Ultrasound Image Segmentation,
ICIP19(3586-3590)
IEEE DOI 1910
Speckle, shape fidelity, blood vessel BibRef

Waraich, S.A.[Saad Ahmed], Chee, A.[Adrian], Xiao, D.[Di], Yiu, B.Y.S.[Billy Y. S.], Yu, A.[Alfred],
Auto SVD Clutter Filtering for US Doppler Imaging Using 3D Clustering Algorithm,
ICIAR19(II:473-483).
Springer DOI 1909
BibRef

Singh, P.[Prerna], Mukundan, R.[Ramakrishnan], de Ryke, R.[Rex],
Quality analysis of synthetic ultrasound images using co-occurrence texture statistics,
IVCNZ17(1-6)
IEEE DOI 1902
biomedical ultrasonics, feature extraction, image classification, image denoising, image texture, interpolation, Speckle noise analysis BibRef

Mishra, D.[Deepak], Tyagi, S.[Sarthak], Chaudhury, S.[Santanu], Sarkar, M.[Mukul], Singh Soin, A.[Arvinder],
Despeckling CNN with Ensembles of Classical Outputs,
ICPR18(3802-3807)
IEEE DOI 1812
Speckle, Training, Tuning, Anisotropic magnetoresistance, Kernel, Hospitals, Convolutional neural networks BibRef

Outtas, M., Zhang, L., Deforges, O., Serir, A., Hamidouche, W.,
Multi-output speckle reduction filter for ultrasound medical images based on multiplicative multiresolution decomposition,
ICIP17(1397-1401)
IEEE DOI 1803
biomedical ultrasonics, edge detection, filtering theory, image denoising, image enhancement, image resolution, Ultrasound medical images BibRef

Raslain, S., Hachouf, F., Kharfouchi, S.,
Using 2D ARMA-GARCH for ultrasound images denoising,
ICIP17(2672-2676)
IEEE DOI 1803
Image denoising, Image restoration, Mathematical model, Noise measurement, Speckle, Ultrasonic imaging BibRef

Zhu, L., Fu, C.W., Brown, M.S., Heng, P.A.,
A Non-local Low-Rank Framework for Ultrasound Speckle Reduction,
CVPR17(493-501)
IEEE DOI 1711
Image segmentation, Minimization, Noise measurement, Speckle, Ultrasonic, imaging BibRef

Damseh, R.[Rafat], Ahmad, M.O.[M. Omair],
Curvelet-Based Bayesian Estimator for Speckle Suppression in Ultrasound Imaging,
ICIAR17(117-124).
Springer DOI 1706
BibRef

Zhu, L.[Lei], Wang, W.M.[Wei-Ming], Li, X.M.[Xiao-Meng], Wang, Q.[Qiong], Qin, J.[Jing], Wong, K.H.[Kin-Hong], Heng, P.A.[Pheng-Ann],
Ultrasound Speckle Reduction via L0 Minimization,
ACCV16(III: 50-65).
Springer DOI 1704
BibRef

Hu, Z., Tang, J.,
Cluster driven anisotropic diffusion for speckle reduction in ultrasound images,
ICIP16(2325-2329)
IEEE DOI 1610
Anisotropic magnetoresistance BibRef

Hadjerci, O.[Oussama], Hafiane, A.[Adel], Conte, D.[Donatello], Makris, P.[Pascal], Vieyres, P.[Pierre], Delbos, A.[Alain],
Ultrasound median nerve localization by classification based on despeckle filtering and feature selection,
ICIP15(4155-4159)
IEEE DOI 1512
Despeckling filter BibRef

García, H.F.[Hernán F.], Giraldo, J.J.[Juan J.], Álvarez, M.A.[Mauricio A.], Orozco, Á.A.[Álvaro A.], Salazar, D.[Diego],
Peripheral Nerve Segmentation Using Speckle Removal and Bayesian Shape Models,
IbPRIA15(387-394).
Springer DOI 1506
BibRef

Narayan, N.S.[Nikhil S.], Marziliano, P.[Pina], Kanagalingam, J.[Jeevendra], Hobbs, C.G.L.[Christopher G.L.],
Speckle in ultrasound images: Friend or FOE?,
ICIP14(5816-5820)
IEEE DOI 1502
Glands BibRef

Monteiro, F.C.[Fernando C.], Rufino, J.[José], Cadavez, V.[Vasco],
Towards a Comprehensive Evaluation of Ultrasound Speckle Reduction,
ICIAR14(I: 141-149).
Springer DOI 1410
BibRef

Malik, K.[Krystyna], Machala, B.[Bernadetta], Smolka, B.[Bogdan],
Novel Approach to Noise Reduction in Ultrasound Images Based on Geodesic Paths,
ICCVG14(409-417).
Springer DOI 1410
BibRef

Nieniewski, M.[Mariusz],
Enhancement of Despeckled Ultrasound Images by Forward-Backward Diffusion,
ICCVG14(454-461).
Springer DOI 1410
BibRef

Nieniewski, M.[Mariusz], Zajaczkowski, P.[Pawel],
Real-Time Speckle Reduction in Ultrasound Images by Means of Nonlinear Coherent Diffusion Using GPU,
ICCVG14(462-469).
Springer DOI 1410
BibRef

Wang, Y.[Yi], Fu, X.W.[Xiao-Wei], Chen, L.[Li], Ding, S.[Sheng], Tian, J.[Jing],
DTCWT based medical ultrasound images despeckling using LS parameter optimization,
ICIP13(805-809)
IEEE DOI 1402
Biomedical imaging BibRef

Yatchenko, A.M.[Artem M.], Krylov, A.S.[Andrey S.], Gavrilov, A.V.[Andrey V.], Arkhipov, I.V.[Ivan V.],
Graph-cut based antialiasing for Doppler ultrasound color flow medical imaging,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Rui, L.[Li], Zhuoxin, S.[Sun], Cishen, Z.[Zhang],
Adaptive filter for speckle reduction with feature preservation in medical ultrasound images,
ICARCV08(1787-1792).
IEEE DOI 1109
BibRef

Albouy-Kissi, A.[Adelaide], Cormier, S.[Stephane], Zavidovique, B.[Bertrand], Tranquart, F.[Francois],
Contrast Enhanced Ultrasound Images Restoration,
ACIVS11(396-404).
Springer DOI 1108
BibRef

Ploquin, M.[Marie], Girault, J.M.[Jean-Marc], Kouame, D.[Denis],
Laplacian pyramid decomposition-type method for resolution enhancement of ultrasound images,
IPTA10(235-240).
IEEE DOI 1007
BibRef

Wang, B.[Bo], Cao, T.[Tian], Dai, Y.G.[Yu-Guo], Liu, D.C.[Dong C.],
Ultrasound Speckle Reduction via Super Resolution and Nonlinear Diffusion,
ACCV09(III: 130-139).
Springer DOI 0909
BibRef

Achmad, B.[Balza], Mustafa, M.M.[Mohammed Marzuki], Hussain, A.[Aini],
Inter-frame Enhancement of Ultrasound Images Using Optical Flow,
IVIC09(191-201).
Springer DOI 0911
BibRef

Riyadi, S.[Slamet], Mustafa, M.M.[Mohammed Marzuki], Hussain, A.[Aini], Maskon, O.[Oteh], Noh, I.F.M.[Ika Faizura Mohammed],
Quasi-Gaussian DCT Filter for Speckle Reduction of Ultrasound Images,
IVIC09(136-147).
Springer DOI 0911
BibRef

Ebbini, E.S.[Emad S.],
Nonlinear post-beamforming filtering of pulse-echo ultrasound for contrast enhancement,
ICIP09(2641-2644).
IEEE DOI 0911
BibRef

Ma, Y.M.[Yi-Ming], Tay, P.C.[Peter C.],
Ultrasound despeckling for active contour segmentation,
ICIP09(3357-3360).
IEEE DOI 0911
BibRef

Behradfar, E.[Elham], Mahloojifar, A.[Ali], Behradfar, A.E.[Amir E.],
Performance Enhancement of Coded Excitation in Ultrasonic B-mode Images,
ICMV09(220-224).
IEEE DOI 0912
BibRef

Zhen, Z.[Zhang], Tao, X.[Xue],
Application of a Modified Algorithm for Wavelet Threshold De-Noising Based on the Ultrasonic Signal of Optical Fiber Defect,
CISP09(1-4).
IEEE DOI 0910
BibRef

Iakovidis, D.K.[Dimitris K.], Savelonas, M.A.[Michalis A.], Maroulis, D.[Dimitris],
Adaptive Vision System for Segmentation of Echographic Medical Images Based on a Modified Mumford-Shah Functional,
ACIVS07(565-574).
Springer DOI 0708
BibRef

Martí, R.[Robert], Martí, J.[Joan], Freixenet, J.[Jordi], Vilanova, J.C.[Joan Carles], Barceló, J.[Joaquim],
Optimally Discriminant Moments for Speckle Detection in Real B-Scan Images,
IbPRIA07(II: 242-249).
Springer DOI 0706
BibRef

Perreault, C.[Charles], Auclair-Fortier, M.F.[Marie-Flavie],
Speckle Simulation Based on B-Mode Echographic Image Acquisition Model,
CRV07(379-386).
IEEE DOI 0705
BibRef

Erez, Y.[Yael], Schechner, Y.Y.[Yoav Y.], Adam, D.[Dan],
Ultrasound Image Denoising by Spatially Varying Frequency Compounding,
DAGM06(1-10).
Springer DOI 0610
BibRef

Kim, M.J.[Min-Jeong], Yun, H.J.[Hyun-Joo], Kim, M.H.[Myoung-Hee],
Faster, More Accurate Diffusion Filtering for Fetal Ultrasound Volumes,
ICIAR06(II: 524-534).
Springer DOI 0610
BibRef

Wang, G.[Gang], Liu, D.C.[Dong C.],
Adaptive Persistence Utilizing Motion Compensation for Ultrasound Images,
ICPR06(III: 726-729).
IEEE DOI 0609
BibRef

Bylund, N.E.[Nina Eriksson], Andersson, M., Knutsson, H.[Hans],
Interactive 3D Filter Design for Ultrasound Artifact Reduction,
ICIP05(III: 728-731).
IEEE DOI 0512
BibRef

Svensson, B.[Björn], Brun, A.[Anders], Andersson, M.[Mats], Knutsson, H.[Hans],
Estimation of Non-Cartesian Local Structure Tensor Fields,
SCIA07(948-957).
Springer DOI 0706
BibRef

Svensson, B.[Björn], Andersson, M.[Mats], Knutsson, H.[Hans],
A Graph Representation of Filter Networks,
SCIA05(1086-1095).
Springer DOI 0506
BibRef
And:
Filter Networks for Efficient Estimation of Local 3-D Structure,
ICIP05(III: 573-576).
IEEE DOI 0512
BibRef

Bylund, N.E.[Nina Eriksson], Ressner, M.[Marcus], Knutsson, H.[Hans],
3D Wiener Filtering to Reduce Reverberations in Ultrasound Image Sequences,
SCIA03(579-586).
Springer DOI 0310
BibRef

Hacini, M.[Meriem], Djemal, K.[Khalifa], Hachouf, F.[Fella],
Speckled images restoration filter based on weighted multiplicative regularization approach,
IPTA12(111-115)
IEEE DOI 1503
BibRef
Earlier: A1, A3, A2:
An adaptive total variation method for speckle reduction in medical ultrasound imaging,
ICIP11(1545-1548).
IEEE DOI 1201
filtering theory BibRef

Djemal, K.,
Speckle Reduction in Ultrasound Images by Minimization of Total Variation,
ICIP05(III: 357-360).
IEEE DOI 0512
BibRef

Krissian, K.[Karl], Kikinis, R.[Ron], Westin, C.F.[Carl-Fredrik], Vosburgh, K.[Kirby],
Speckle-Constrained Filtering of Ultrasound Images,
CVPR05(II: 547-552).
IEEE DOI 0507
BibRef

Xu, Q.R.[Qian-Ren], Kamel, M., Salama, M.M.A.,
A Spatially Adaptive Filter Reducing Arc Stripe Noise for Sector Scan Medical Ultrasound Imaging,
ICIAR04(II: 25-32).
Springer DOI 0409
BibRef

Sheng, C.[Chen], Xin, Y.[Yang], Liping, Y.[Yao], Kun, S.[Sun],
Total Variation-Based Speckle Reduction Using Multi-grid Algorithm for Ultrasound Images,
CIAP05(245-252).
Springer DOI 0509
BibRef

Kolár, R.[Radim], Jan, J.[Jirí],
Tissue Models and Speckle Reduction in Medical Ultrasound Images,
SCIA05(1017-1026).
Springer DOI 0506
BibRef

Zhang, L.C., Wong, E.M.C., Koh, L.M., Ng, L.S.,
An adaptive filter for speckle reduction in medical ultrasound image processing,
ICARCV04(I: 654-658).
IEEE DOI 0412
BibRef

Lloret, D., Serrat, J., Lopez, A.M., Villanueva, J.J.,
Motion-induced error correction in ultrasound imaging,
3DPVT02(79-82).
IEEE DOI 0206
BibRef

Stippel, G., Duskunovic, I., Philips, W., Zecic, A., Govaert, P., Lemahieu, I.,
A New Filtering Method for Ultrasound Images Incorporating Prior Statistics Concerning Medical Features,
ICIP01(II: 821-824).
IEEE DOI 0108
BibRef

Abd-Elmoniem, K., Kadah, Y.M., Youssef, A.B.M.,
Real Time Adaptive Ultrasound Speckle Reduction and Coherence Enhancement,
ICIP00(Vol I: 172-175).
IEEE DOI 0008
BibRef

Taxt, T.,
Radial homomorphic deconvolution of B-mode medical ultrasound images,
ICPR94(C:149-152).
IEEE DOI 9410
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Taxt, T., Lundervold, A., Angelsen, B.,
Noise reduction and segmentation in time-varying ultrasound images,
ICPR90(I: 591-596).
IEEE DOI 9006
BibRef

Huan, H.C.[Hou Chao], Hui, J.[Jiang],
A method to improve the lateral resolution of ultrasonic intravascular imaging,
ICIP94(III: 299-303).
IEEE DOI 9411
BibRef

Jan, J., Gabrhel, B., Haluzíková, J., Kilián, P., Kubák, R., Provazník, I.,
Comparison of different approaches to suppress speckles in ultrasonic tomograms,
CAIP93(657-663).
Springer DOI 9309
BibRef

Evans, A.N.[Adrian N.], Nixon, M.S.[Mark S.],
Temporal speckle reduction for feature extraction in ultrasound images,
CAIP93(65-73).
Springer DOI 9309
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Ultrasound, Ultrasonic, Image Segmentation, Contour Extraction, Contour Motion .

Last update:Nov 26, 2024 at 16:40:19