The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Spatiotemporal Clutter Filtering of Ultrafast Ultrasound Data Highly Increases Doppler and fUltrasound Sensitivity
Open accessAbstract
Ultrafast ultrasonic imaging is a rapidly developing field based on the unfocused transmission of plane or diverging ultrasound waves. This recent approach to ultrasound imaging leads to a large increase in raw ultrasound data available per acquisition. Bigger synchronous ultrasound imaging datasets can be exploited in order to strongly improve the discrimination between tissue and blood motion in the field of Doppler imaging. Here we propose a spatiotemporal singular value decomposition clutter rejection of ultrasonic data acquired at ultrafast frame rate. The singular value decomposition (SVD) takes benefits of the different features of tissue and blood motion in terms of spatiotemporal coherence and strongly outperforms conventional clutter rejection filters based on high pass temporal filtering. Whereas classical clutter filters operate on the temporal dimension only, SVD clutter filtering provides up to a four-dimensional approach (3D in space and 1D in time). We demonstrate the performance of SVD clutter filtering with a flow phantom study that showed an increased performance compared to other classical filters (better contrast to noise ratio with tissue motion between 1 and 10mm/s and axial blood flow as low as 2.6 mm/s). SVD clutter filtering revealed previously undetected blood flows such as microvascular networks or blood flows corrupted by significant tissue or probe motion artifacts. We report in vivo applications including small animal fUltrasound brain imaging (blood flow detection limit of 0.5 mm/s) and several clinical imaging cases, such as neonate brain imaging, liver or kidney Doppler imaging.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“removing the N = 60 first components of the singular value decomposition, which optimally exploited the spatiotemporal dynamics of the full Doppler film for clutter rejection, largely outperforming conventional clutter-rejection filters used in Doppler ultrasound47.”
From Local hippocampal fast gamma rhythms precede brain-wide hyperemic patterns during spontaneous rodent REM sleep (2018) · cites this paper as [47]
Citations
Cites
Robust principal component analysis?
Candès, E. J., Li, X., Ma, Y., & Wright, J. N. (2011) · Journal of the ACM · doi:10.1145/1970392.1970395 · Cited by 7,048
The approximation of one matrix by another of lower rank
Eckart, C., & Young, G. (1936) · Psychometrika · doi:10.1007/bf02288367 · Cited by 4,497
Supersonic shear imaging: a new technique for soft tissue elasticity mapping
Bercoff, J., Tanter, M., & Fink, M. (2004) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2004.1295425 · Cited by 2,496
Self-citationCoherent plane-wave compounding for very high frame rate ultrasonography and transient elastography
Montaldo, G., Tanter, M., Bercoff, J., Benech, N., & Fink, M. (2009) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2009.1067 · Cited by 1,824
Self-citationUltrafast imaging in biomedical ultrasound
Tanter, M., & Fink, M. (2014) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2014.2882 · Cited by 1,157
Self-citationFunctional ultrasound imaging of the brain
Macé, É., Montaldo, G., Cohen, I., Baulac, M., Fink, M., & Tanter, M. (2011) · Nature Methods · doi:10.1038/nmeth.1641 · Cited by 806
Self-citationUltrafast imaging in biomedical ultrasound
Tanter, M., & Fink, M. (2014) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2014.6689779 · Cited by 697
Self-citationOtazo, R., Candès, E. J., & Sodickson, D. K. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25240 · Cited by 697
Accelerated Dynamic MRI Exploiting Sparsity and Low-Rank Structure: k-t SLR
Lingala, S. G., Hu, Y., DiBella, E., & Jacob, M. (2011) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2100850 · Cited by 667
Ultrafast compound doppler imaging: providing full blood flow characterization
Bercoff, J., Montaldo, G., Loupas, T., Savéry, D., Mézière, F., Fink, M., & Tanter, M. (2011) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2011.1780 · Cited by 514
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–300 of 984
Brown, K., Waggener, S. C., Redfern, A. D., & Hoyt, K. (2021) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/ac2f71 · Cited by 27
Zhang, H., Huang, L., Yang, Y., Qiu, L., He, Q., Liu, J., Qian, L., & Luo, J. (2023) · Journal of Ultrasound in Medicine · doi:10.1002/jum.16249 · Cited by 27
A simplified and accelerated implementation of SVD for filtering ultrafast power Doppler images
Pialot, B., Augeul, L., Petrusca, L., & Varray, F. (2023) · Ultrasonics · doi:10.1016/j.ultras.2023.107099 · Cited by 27
Wang, Y., Huang, L., Wang, R., Wei, X., Zheng, C., Peng, H., & Luo, J. (2023) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2023.3297571 · Cited by 27
Oh, D., Lee, D., Heo, J., Kweon, J. Y., Yong, U., Jang, J., Ahn, Y. J., & Kim, C. (2023) · Advanced Science · doi:10.1002/advs.202303966 · Cited by 27
Çalışkan, E., Ozturk, M. H., Bayramoğlu, Z., Cömert, R. G., & Adaletli, İ. (2018) · La radiologia medica · doi:10.1007/s11547-018-0897-0 · Cited by 26
Revealing Intraosseous Blood Flow in the Human Tibia With Ultrasound
Salles, S., Shepherd, J., Vos, H. J., & Renaud, G. (2021) · JBMR Plus · doi:10.1002/jbm4.10543 · Cited by 26
Regional-Lag Signed Delay Multiply and Sum Beamforming in Ultrafast Ultrasound Imaging
Yan, X., Qi, Y., Wang, Y., & Wang, Y. (2021) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2021.3127878 · Cited by 26
Claron, J., Provansal, M., Salardaine, Q., Tissier, P., Dizeux, A., Deffieux, T., Picaud, S. A., Tanter, M., Arcizet, F., & Pouget, P. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112369 · Cited by 26
Self-citation3-D Longitudinal Imaging of Tumor Angiogenesis in Mice in Vivo Using Ultrafast Doppler Tomography
Demené, C., Payen, T., Dizeux, A., Barrois, G., Gennisson, J., Bridal, S. L., & Tanter, M. (2019) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2018.12.010 · Cited by 26
Self-citationZhang, G., Li, Y., Ji, B., Chen, K., Mu, Y., & Wang, W. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3383426 · Cited by 25
Tang, Y., Wang, N., Dong, Z., Lowerison, M. R., del Águila, Á., Johnston, N., Vu, T., Ma, C., Xu, Y., Yang, W., et al. (2024) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2024.3477317 · Cited by 25
Current trends in the characterization and monitoring of vascular response to cancer therapy
Shrestha, B., Stern, N. B., Zhou, A., Dunn, A. K., & Porter, T. M. (2024) · Cancer Imaging · doi:10.1186/s40644-024-00767-8 · Cited by 25
Ultrafast amplitude modulation for molecular and hemodynamic ultrasound imaging
Rabut, C., Wu, D., Ling, B., Jin, Z., Malounda, D., & Shapiro, M. G. (2021) · Applied Physics Letters · doi:10.1063/5.0050807 · Cited by 24
On the Investigation of Autocorrelation-Based Vector Doppler Method With Plane Wave Imaging
Hasegawa, H., Omura, M., & Nagaoka, R. (2022) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2022.3152186 · Cited by 25
Gu, J., Ternifi, R., Larson, N. B., Carter, J. M., Boughey, J. C., Stan, D. L., Fazzio, R. T., Fatemi, M., & Alizad, A. (2022) · Breast Cancer Research · doi:10.1186/s13058-022-01511-5 · Cited by 25
Beliard, B., Ahmanna, C., Tiran, E., Kanté, K., Deffieux, T., Tanter, M., Nothias, F., Soares, S., & Pezet, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-10250-8 · Cited by 25
Self-citationFavre, H., Pernot, M., Tanter, M., & Papadacci, C. (2023) · Physics in Medicine and Biology · doi:10.1088/1361-6560/acbde3 · Cited by 25
Self-citationThe fundamental mechanisms of the Korotkoff sounds generation
Baranger, J., Villemain, O., Goudot, G., Dizeux, A., Blay, H. L., Mirault, T., Messas, E., Pernot, M., & Tanter, M. (2023) · Science Advances · doi:10.1126/sciadv.adi4252 · Cited by 26
Self-citationPorte, C., Lisson, T., Kohlen, M., von Maltzahn, F., Dencks, S., von Stillfried, S. F., Piepenbrock, M., Rix, A., Dasgupta, A., Koczera, P., et al. (2023) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2023.09.001 · Cited by 25
Nayak, R., Kumar, V., Webb, J. M., Fatemi, M., & Alizad, A. (2019) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2018.10.028 · Cited by 25
Non-rigid Motion Correction for Ultrasound Localization Microscopy of the Liver in vivo
Hao, Y., Wang, Q., Yang, Y., Liu, Z., He, Q., Wei, L., & Luo, J. (2019) · IEEE International Ultrasonics Symposium · doi:10.1109/ultsym.2019.8925749 · Cited by 25
Ashikuzzaman, M., Belasso, C. J., Kibria, M. G., Bergdahl, A., Gauthier, C. J., & Rivaz, H. J. (2019) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2019.2941865 · Cited by 24
Wei, L., Wahyulaksana, G., Meijlink, B., Ramalli, A., Noothout, E., Verweij, M. D., Boni, E., Kooiman, K., van der Steen, A. F. W., Tortoli, P., et al. (2021) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2021.3086597 · Cited by 24
Evaluation of Nonlinear Contrast Pulse Sequencing for Use in Super-Resolution Ultrasound Imaging
Brown, K., & Hoyt, K. (2021) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2021.3092172 · Cited by 24
Deep-fUS: A Deep Learning Platform for Functional Ultrasound Imaging of the Brain Using Sparse Data
Ianni, T. D., & Airan, R. D. (2022) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2022.3148728 · Cited by 24
Slow-Flow Ultrasound Localization Microscopy Using Recondensation of Perfluoropentane Nanodroplets
Burgess, M. T., Aliabouzar, M., Aguilar, C., Fabiilli, M. L., & Ketterling, J. A. (2022) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2021.12.007 · Cited by 24
Improved Ultrasound Localization Microscopy Based on Microbubble Uncoupling via Transmit Excitation
Kim, J., Lowerison, M. R., Sekaran, N. V. C., Kou, Z., Dong, Z., Oelze, M. L., Llano, D. A., & Song, P. (2022) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2022.3143864 · Cited by 24
Shi, M., Vercauteren, T. K., & Xia, W. (2022) · Biomedical Optics Express · doi:10.1364/boe.471198 · Cited by 24
Hansen-Shearer, J. T. T., Yan, J., Lerendegui, M., Huang, B., Toulemonde, M. E. G., Riemer, K., Tan, Q., Tonko, J., Weinberg, P. D., Dunsby, C. W., et al. (2024) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2024.03.020 · Cited by 24
Nayak, R., Kumar, V., Webb, J. M., Gregory, A., Fatemi, M., & Alizad, A. (2018) · Scientific Reports · doi:10.1038/s41598-018-33602-9 · Cited by 24
3-D Multi-parametric Contrast-Enhanced Ultrasound for the Prediction of Prostate Cancer
Wildeboer, R. R., van Sloun, R. J. G., Huang, P., Wijkstra, H., & Mischi, M. (2019) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2019.05.017 · Cited by 25
Independent Component-Based Spatiotemporal Clutter Filtering for Slow Flow Ultrasound
Tierney, J. E., Baker, J. C., Brown, D. B., Wilkes, D. M., & Byram, B. C. (2019) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2019.2951465 · Cited by 24
Functional ultrasound imaging of the human spinal cord
Agyeman, K. A., Lee, D. J., Russin, J. J., Kreydin, E. I., Choi, W., Abedi, A., Lo, Y. T., Cavaleri, J., Wu, K., Edgerton, V. R., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.02.012 · Cited by 23
Schrier, V. J. M. M., Evers, S., Bosch, J. G., Selles, R. W., & Amadio, P. C. (2019) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2019.01.022 · Cited by 23
Spatio-temporal filtering in laser Doppler holography for retinal blood flow imaging
Puyó, L., Pâques, M., & Atlan, M. (2020) · Biomedical Optics Express · doi:10.1364/boe.392699 · Cited by 23
Zhang, N., Ashikuzzaman, M., & Rivaz, H. J. (2020) · BioMedical Engineering OnLine · doi:10.1186/s12938-020-00778-z · Cited by 23
Improved Color Doppler for Cerebral Blood Flow Axial Velocity Imaging
Tang, J., Kılıç, K., Szabo, T. L., & Boas, D. A. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.3036468 · Cited by 23
Favre, H., Pernot, M., Tanter, M., & Papadacci, C. (2022) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ac5f72 · Cited by 23
Self-citationFast super resolution ultrasound imaging using the erythrocytes
Jensen, J. A., Schou, M., Andersen, S. B., Søgaard, S. B., Sørensen, C. M., Nielsen, M. B., Gundlach, C., Kjer, H. M., Dahl, A. B., Stuart, M. B., et al. (2022) · SPIE Medical Imaging: Ultrasonic Imaging and Tomography · doi:10.1117/12.2612245 · Cited by 23
Goazigo, A. R.-L., Beliard, B., Delay, L., Rahal, L., Claron, J., Renaudin, N., Rivals, I., Thibaut, M., Nouhoum, M., Deffieux, T., et al. (2022) · Communications Biology · doi:10.1038/s42003-022-03273-4 · Cited by 23
Self-citationRao, J., Qiu, H., Teng, G., Mukaddim, R. A., Xue, J., & He, J. (2022) · Ultrasonics · doi:10.1016/j.ultras.2022.106764 · Cited by 23
Bhatti, A., Ishii, T., Kanno, N., Ikeda, H., Funamoto, K., & Saijo, Y. (2022) · Ultrasonics · doi:10.1016/j.ultras.2022.106907 · Cited by 23
Quantitative tissue perfusion imaging using nonlinear ultrasound localization microscopy
Harmon, J. N., Khaing, Z. Z., Hyde, J. E., Hofstetter, C. P., Tremblay‐Darveau, C., & Bruce, M. F. (2022) · Scientific Reports · doi:10.1038/s41598-022-24986-w · Cited by 23
Aguet, J., Fakhari, N., Nguyen, M. B., Mertens, L., Szabó, E. Z., Ertl-Wagner, B. B., Crawford, L., Haller, C., Barron, D. J., Baranger, J., et al. (2023) · The Journal of Physiology · doi:10.1113/jp284070 · Cited by 23
Godefroy, G., Arnal, B., & Bossy, E. (2023) · Scientific Reports · doi:10.1038/s41598-023-29177-9 · Cited by 23
Universal Synthetic Aperture Sequence for Anatomic, Functional, and Super Resolution Imaging
Jensen, J. A., Tomov, B. G., Haslund, L. E., Panduro, N. S., & Sørensen, C. M. (2023) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2023.3280803 · Cited by 23
Capriotti, M., Greenleaf, J. F., & Urban, M. W. (2021) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2021.03.003 · Cited by 23
Lin, F., Rojas, J. D., & Dayton, P. A. (2016) · IEEE International Ultrasonics Symposium · doi:10.1109/ultsym.2016.7728735 · Cited by 23
Ikeda, H., Nagaoka, R., Lafond, M., Yoshizawa, S., Iwasaki, R., Maeda, M., Umemura, S.-I., & Saijo, Y. (2018) · Japanese Journal of Applied Physics · doi:10.7567/jjap.57.07lf04 · Cited by 22
Nagaoka, R., Mozumi, M., & Hasegawa, H. (2019) · Japanese Journal of Applied Physics · doi:10.7567/1347-4065/ab0ffa · Cited by 22
Dealiasing High-Frame-Rate Color Doppler Using Dual-Wavelength Processing
Porée, J., Goudot, G., Pedreira, O., Laborie, É., Khider, L., Mirault, T., Messas, E., Julia, P. L., Alsac, J.-M., Tanter, M., et al. (2021) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2021.3056932 · Cited by 22
Self-citationMultidimensional Clutter Filtering of Aperture Domain Data for Improved Blood Flow Sensitivity
Ozgun, K. A., & Byram, B. C. (2021) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2021.3073292 · Cited by 22
Batts, A. J., Ji, R., Kline-Schoder, A. R., Noel, R. L., & Konofagou, E. E. (2021) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2021.3120919 · Cited by 22
Lei, S., Zhang, G., Zhu, B., Long, X., Jiang, Z., Liu, Y., Hu, D., Sheng, Z., Zhang, Q., Wang, C., et al. (2021) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2021.3125010 · Cited by 22
Accelerated 2-D Real-Time Refraction-Corrected Transcranial Ultrasound Imaging
Mozaffarzadeh, M., Verschuur, D. J., Verweij, M. D., de Jong, N., & Renaud, G. (2022) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2022.3189600 · Cited by 22
Four-dimensional computational ultrasound imaging of brain hemodynamics
Brown, M., Generowicz, B. S., Dijkhuizen, S., Koekkoek, S. K. E., Strydis, C., Bosch, J. G., Arvanitis, P., Springeling, G., Leus, G. J. T., Zeeuw, C. I. D., et al. (2024) · Science Advances · doi:10.1126/sciadv.adk7957 · Cited by 22
Seddiki, R., Mirault, T., Sitruk, J., Mohamedi, N., Messas, E., Pernot, M., Baranger, J., & Goudot, G. (2025) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2025.03.001 · Cited by 21
Self-citationZhou, Q., Chen, Z., Robin, J., Deán‐Ben, X. L., & Razansky, D. (2021) · Optica · doi:10.1364/optica.420378 · Cited by 21
Edelman, B. J., Ielacqua, G. D., Chan, R. W., Asaad, M., Choy, M., & Lee, J. H. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118434 · Cited by 21
Functional ultrasound imaging: A useful tool for functional connectomics?
de Paz, J. M. M., & Macé, É. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118722 · Cited by 19
Ultrasonic Methods for Brain Imaging: Techniques and Implications
Zheng, Y., Yang, Y., Zhang, Q., Jiang, D., Tu, J., Zhang, D., & Duan, H. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3173035 · Cited by 21
van Helvert, M., Engelhard, S., Voorneveld, J. D., van der Vee, M., Bosch, J. G., Versluis, M., Jebbink, E. G., & Reijnen, M. M. P. J. (2022) · European Radiology Experimental · doi:10.1186/s41747-022-00278-w · Cited by 21
Lok, U., Huang, C., Trzasko, J. D., Kim, Y., Lucien, F., Tang, S., Gong, P., Song, P., & Chen, S. (2022) · Journal of Medical and Biological Engineering · doi:10.1007/s40846-022-00755-y · Cited by 21
Tong, X., Lin, L., Hu, P. C., Cao, R., Zhang, Y., Olick-Gibson, J., & Wang, L. V. (2022) · Advanced Science · doi:10.1002/advs.202205759 · Cited by 21
Rao, J., Zeng, L., Liu, M., & Fu, H. (2023) · Ultrasonics · doi:10.1016/j.ultras.2023.107088 · Cited by 21
What is the place of ultrasound in MSK imaging?
Adler, R. S. (2024) · Skeletal Radiology · doi:10.1007/s00256-024-04642-2 · Cited by 21
Quantitative imaging of coronary flows using 3D ultrafast Doppler coronary angiography
Correia, M., Maresca, D., Goudot, G., Villemain, O., Bizé, A., Sambin, L., Tanter, M., Ghaleh, B., & Pernot, M. (2020) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ab8d78 · Cited by 21
Self-citationLin, H., Wang, Z., Liao, Y., Yu, Z., Xu, H., Qin, T. G., Tang, J., Yang, X., Chen, S., Chen, X., et al. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105355 · Cited by 23
Leroy, H., Wang, L. Z., Jimenez, A., Mohamedi, N., Papadacci, C., Julia, P. L., Batti, S. E., Alsac, J.-M., Sitruk, J., Arnoux, A., et al. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105528 · Cited by 20
Self-citationNon-invasive imaging techniques to assess myocardial perfusion
Villemain, O., Baranger, J., Jalal, Z., Lam, C. Z., Calais, J., Pernot, M., Cifra, B., Friedberg, M. K., & Mertens, L. (2020) · Expert Review of Medical Devices · doi:10.1080/17434440.2020.1834844 · Cited by 20
Self-citationShen, C.-C., & Chu, Y.-C. (2021) · Sensors · doi:10.3390/s21144856 · Cited by 20
A Sibelobe Suppressing Beamformer for Coherent Plane Wave Compounding
Guo, W., Wang, Y., & Yu, J. (2016) · Applied Sciences · doi:10.3390/app6110359 · Cited by 20
Two Stage Sub-Wavelength Motion Correction in Human Microvasculature for CEUS Imaging
Harput, S., Christensen-Jeffries, K. M., Li, Y., Brown, J., Eckersley, R. J., Dunsby, C. W., & Tang, M. (2017) · IEEE International Ultrasonics Symposium · doi:10.1109/ultsym.2017.8091703 · Cited by 20
Fekkes, S., Saris, A. E. C. M., Nillesen, M. M., Menssen, J., Hansen, H. H. G., & de Korte, C. L. (2018) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2018.2834724 · Cited by 20
Espíndola, D., Lin, F., Soulioti, D., Dayton, P. A., & Pinton, G. (2018) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2018.2865903 · Cited by 20
Estimation of High Velocities in Synthetic-Aperture Imaging—Part II: Experimental Investigation
Jensen, J. A. (2019) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2019.2906390 · Cited by 20
Blood Flow Imaging in the Neonatal Brain Using Angular Coherence Power Doppler
Jakovljevic, M., Yoon, B. C., Abou‐Elkacem, L., Hyun, D., Li, Y. L., Rubesova, E., & Dahl, J. (2020) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2020.3010341 · Cited by 19
Morphological Reconstruction Improves Microvessel Mapping in Super-Resolution Ultrasound
Schoen, S. J., Zhao, Z., Alva, A., Huang, C., Chen, S., & Arvanitis, C. (2021) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2021.3057540 · Cited by 19
Fast reconstruction of 3D blood flows from Doppler ultrasound images and reduced models
Galarce, F., Gerbeau, J.-F., Lombardi, D., & Mula, O. (2020) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2020.113559 · Cited by 19
Xiao, D., Pitman, W. M. K., Yiu, B. Y. S., Chee, A. J. Y., & Yu, A. C. H. (2022) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2022.3192854 · Cited by 19
Competitive Swarm Optimized SVD Clutter Filtering for Ultrafast Power Doppler Imaging
Chen, Y., Fang, B., Meng, F., Luo, J., & Luó, X. (2024) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2024.3362967 · Cited by 19
Hyun, D., Crowley, A. L., LeFevre, M., Cleve, J., Rosenberg, J., & Dahl, J. (2018) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2018.2885777 · Cited by 19
Tierney, J. E., Walsh, K., Griffith, H., Baker, J. C., Brown, D. B., & Byram, B. C. (2019) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2019.2898127 · Cited by 19
Ahmed, R., Ye, J., Gerber, S. A., Linehan, D. C., & Doyley, M. M. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.2971422 · Cited by 19
Nagaoka, R., Ishikawa, K., Mozumi, M., Cinthio, M., & Hasegawa, H. (2020) · Japanese Journal of Applied Physics · doi:10.35848/1347-4065/ab87f2 · Cited by 18
Nozdriukhin, D. V., Kalva, S. K., Li, W., Yashchenok, A. M., Gorin, D. A., Razansky, D., & Deán‐Ben, X. L. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c15509 · Cited by 18
Pialot, B., Lachambre, C., Mur, A. L., Augeul, L., Petrusca, L., Basarab, A., & Varray, F. (2022) · Physics in Medicine and Biology · doi:10.1088/1361-6560/acac5d · Cited by 18
Backscattering amplitude in ultrasound localization microscopy
Renaudin, N., Pezet, S., Ialy-Radio, N., Demené, C., & Tanter, M. (2023) · Scientific Reports · doi:10.1038/s41598-023-38531-w · Cited by 18
Self-citationCurved Toroidal Row Column Addressed Transducer for 3D Ultrafast Ultrasound Imaging
Caudoux, M., Demeulenaere, O., Porée, J., Sauvage, J., Matéo, P., Ghaleh, B., Flesch, M., Férin, G., Tanter, M., Deffieux, T., et al. (2024) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2024.3391689 · Cited by 18
Self-citationSingle-Crystal Row–Column Array-Based Rat Brain 3-D Ultrasound Localization Microscopy
Sun, Q., Hou, S., He, R., Fu, Y., Wu, J., Dai, J., & Xu, K. (2025) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2025.3563809 · Cited by 18
Mathematical Analysis of Ultrafast Ultrasound Imaging
Alberti, G. S., Ammari, H. M., Romero, F., & Wintz, T. (2017) · SIAM Journal on Applied Mathematics · doi:10.1137/16m107102x · Cited by 18
Robust principal component analysis in optical micro-angiography
Le, N. M., Song, S., Zhang, Q., & Wang, R. K. (2017) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims.2017.12.05 · Cited by 18
A Spatial Coherence Beamformer Design for Power Doppler Imaging
Ozgun, K. A., Tierney, J. E., & Byram, B. C. (2019) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2019.2953657 · Cited by 18
Fast 3-D Velocity Estimation in 4-D Using a 62 + 62 Row–Column Addressed Array
Schou, M., Jørgensen, L. T., Beers, C., Traberg, M. S., Tomov, B. G., Stuart, M. B., & Jensen, J. A. (2020) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2020.3016991 · Cited by 18
Hasegawa, H., Nagaoka, R., Omura, M., Mozumi, M., & Saito, K. (2021) · Journal of Medical Ultrasonics · doi:10.1007/s10396-020-01067-x · Cited by 18
Escudero, D. S., Goudot, G., Vion, M., Tanter, M., & Pernot, M. (2018) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aaef68 · Cited by 18
Self-citationUltrasonic reporters of calcium for deep tissue imaging of cellular signalsPreprint
Jin, Z., Lakshmanan, A., Zhang, R., Tran, T. A., Rabut, C., Dutka, P., Duan, M., Hurt, R. C., Malounda, D., Yao, Y., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.09.566364 · Cited by 21
Multimodal imaging of murine cerebrovascular dynamics induced by transcranial pulse stimulation
Karakatsani, M. E., Nozdriukhin, D. V., Tiemann, S. J., Yoshihara, H. A. I., Storz, R., Belau, M., Ni, R., Razansky, D., & Deán‐Ben, X. L. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14511 · Cited by 18
Sparsity-driven super-localization in clinical contrast-enhanced ultrasound
van Sloun, R. J. G., Solomon, O., Eldar, Y. C., Wijkstra, H., & Mischi, M. (2017) · IEEE International Ultrasonics Symposium · doi:10.1109/ultsym.2017.8092875 · Cited by 17
Metadata
- Authors
- Demene, C., Deffieux, T., Pernot, M., Osmanski, B.-F., Biran, V., Gennisson, J.-L., Sieu, L.-A., Bergel, A., Franqui, S., Correas, J.-M., Cohen, I., Baud, O., & Tanter, M.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- ORCID
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 2015-11
- Volume
- 34
- Issue
- 11
- Pages
- 2271-2285
- ISSN
- 0278-0062 (ISSN-L)
- 1558-254X
- OpenAlex
- W2070712157
- Cited by
- 983
- References
- 39
- Citations by year
- 2026: 79 · 2025: 137 · 2024: 120 · 2023: 107 · 2022: 102 · 2021: 103 · 2020: 95 · 2019: 80 · 2018: 71 · 2017: 56 · 2016: 27 · 2015: 6
- FWCI
- 43.18
- Type
- journal article
- Language
- en
- Open access
- Locations
- IEEE Transactions on Medical Imaging (publishedVersion)
- PubMed (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- HAL (submittedVersion)
- Funders
- Agence Nationale de la Recherche (ANR-10-IDEX-0001)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Ultrasound Imaging and Elastography
- Physical Sciences › Engineering › Biomedical Engineering › Photoacoustic and Ultrasonic Imaging
- Physical Sciences › Engineering › Mechanics of Materials › Ultrasonics and Acoustic Wave Propagation
- Keywords
- ultrafast ultrasound imaging, clutter suppression, Doppler imaging, blood flow detection, tissue motion, microvascular networks, neonatal brain imaging
- MeSH terms
- Animals, Blood Flow Velocity, Echoencephalography, Humans, Image Processing, Computer-Assisted, Infant, Newborn, Kidney, Signal Processing, Computer-Assisted, Models, Statistical, Rats, Sprague-Dawley, Ultrasonography, Doppler, Phantoms, Imaging, Rats
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review