Cited by 984Ultrasound Imaging and ElastographyPhotoacoustic and Ultrasonic ImagingUltrasonics and Acoustic Wave Propagation

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Spatiotemporal Clutter Filtering of Ultrafast Ultrasound Data Highly Increases Doppler and fUltrasound Sensitivity

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Demene, Charlie, Deffieux, Thomas, Pernot, Mathieu, Osmanski, Bruno-Felix, Biran, Valerie, Gennisson, Jean-Luc, Sieu, Lim-Anna, Bergel, Antoine, Franqui, Stephanie, Correas, Jean-Michel, Cohen, Ivan, Baud, Olivier, Tanter, Mickael·2015·IEEE Transactions on Medical Imaging

DOI 10.1109/tmi.2015.2428634

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Abstract

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.

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Ghigo, N., Ramos-Palacios, G., Bourquin, C., Xing, P., Wu, A., Cortes, N., Ladret, H., Ikan, L., Casanova, C., Porée, J., et al. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2311.00648 · Cited by 1
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Huang, C. (2023) · doi:10.36227/techrxiv.24635853.v1 · Cited by 1
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Rohlén, R., Lubel, E., & Farina, D. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.18.576300 · Cited by 1
Longitudinal Awake Imaging of Deep Mouse Brain Microvasculature with Super-resolution Ultrasound Localization MicroscopyPreprint
Wang, Y., Lowerison, M. R., You, Q., Lin, B., Llano, D. A., & Song, P. (2024) · eLife · doi:10.7554/elife.95168.1 · Cited by 1
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Kim, S., Kwon, N., Hossain, M. M., Bendig, J., & Konofagou, E. E. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.29.587355 · Cited by 1
Nonlinear Singular Value Decomposition Beamforming for Ultrasound Imaging of Gas VesiclesPreprint
Zhang, G., Vert, M., Nouhoum, M., Rivera, E., Haidour, N., Jimenez, A., Deffieux, T., Barral, S., Hersen, P., Rabut, C., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.14.618186 · Cited by 1
Self-citation
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Landemard, A., Bimbard, C., & Boubenec, Y. (2025) · eLife · doi:10.7554/elife.106628 · Cited by 1
Signal Detection of Point Targets Using Eigen-Images for Super-Resolution Ultrasound Imaging and Gas Vesicle LocalizationPreprint
Bhattacharjee, A., Turner, S., Diao, L., Zhang, S., & Yoon, S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.02.662077 · Cited by 1
Harmonic Amplitude-Modulated Singular Value Decomposition for Ultrafast Ultrasound Imaging of Gas VesiclesPreprint
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Zhao, W., Wang, N., Han, Z., Xu, X., Ma, X., Zhou, T., Gui, J., Liu, Y., Liu, Q., Qu, L., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.20.671215 · Cited by 1
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Development of ultrasound localization microscopy to measure cerebral perfusion during stroke : a study in mouse models prior to its translation in humans
Hingot, V. (2019) · doi:10.70675/dc2388a0z9121z48c5za21fzfbcf235d009d · Cited by 1
High frame rate contrast enhanced ultrasound imaging of lymphatic vessel phantom
Zhu, J., Lin, S., Harput, S., Toulemonde, M. E. G., Leow, C. H., & Tang, M. (2017) · IEEE International Ultrasonics Symposium · doi:10.1109/ultsym.2017.8092326
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Mansour, O., Poepping, T. L., & Lacefield, J. C. (2017) · IEEE International Ultrasonics Symposium · doi:10.1109/ultsym.2017.8092453
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Golfetto, C., Torp, H. G., & Ekroll, I. K. (2017) · IEEE International Ultrasonics Symposium · doi:10.1109/ultsym.2017.8092615
Ultrasound super-resolution with microbubble contrast agents
Harput, S., Christensen-Jeffries, K. M., Brown, J., Eckersley, R. J., Dunsby, C. W., & Tang, M. (2017) · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · doi:10.1109/icsens.2017.8234244
Online Algorithm for Velocity Estimation in Ultrasonic Doppler Measurement
Shang, E., Hu, J., & Du, S. (2018) · International Conference on Computer Science, Electronics and Communication Engineering (CSECE) · doi:10.2991/csece-18.2018.54
Influence of clutters on ultrasonic Doppler blood flow measurements
Shang, E., Hu, J., Du, S., & Tian, C. (2018) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1074/1/012162
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Yu, J. (2018) · D-Scholarship@Pitt (University of Pittsburgh)
Multiscale Adaptive Correlation Method for Ultrasound Speckle Image Velocimetry
Bodnariuc, E., & Schnörr, C. (2018) · IEEE International Ultrasonics Symposium · doi:10.1109/ultsym.2018.8579843
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Wildeboer, R. R., van Sloun, R. J. G., Huang, P., Wijkstra, H., & Mischi, M. (2018) · IEEE International Ultrasonics Symposium · doi:10.1109/ultsym.2018.8579745
3D Coronary Blood Flow Imaging: A Comparison of Automatic Adaptive Clutter Filters
Golfetto, C., Ekroll, I. K., Torp, H. G., & Avdal, J. (2018) · IEEE International Ultrasonics Symposium · doi:10.1109/ultsym.2018.8580202
Tracking blood flow changes in the brains of neonates using angular-coherence-based power doppler
Jakovljevic, M., Yoon, B. C., Abou‐Elkacem, L., Rubesova, E., & Dahl, J. (2019) · SPIE Medical Imaging: Ultrasonic Imaging and Tomography · doi:10.1117/12.2513554
Super-resolution photoacoustic imaging via flow induced absorption fluctuationsPreprint
Chaigne, T., Arnal, B., Вилов, С. А., Bossy, E., & Katz, O. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1705.10411
Intraplaque haemorrhage detection using single-wavelength PAI and singular value decomposition in the carotid artery
van Hees, R. P. M., Wu, M., van de Vosse, F. N., Lopata, R. G. P., & Rutten, M. C. M. (2019) · Opto-Acoustic Methods and Applications in Biophotonics · doi:10.1117/12.2527186
Minimally Invasive InVivo Functional Ultrasound Imaging Using a 40 MHz Phased Array Endoscope: Mapping the Auditory Response in Rats
Samson, C. A., Landry, T., & Brown, J. A. (2019) · IEEE International Ultrasonics Symposium · doi:10.1109/ultsym.2019.8926240

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: Deffieux, Thomas
Pernot, Mathieu
Gennisson, Jean-Luc
Sieu, Lim-Anna
Bergel, Antoine
Cohen, Ivan
Baud, Olivier
Venue: IEEE Transactions on Medical Imaging
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2015-11
Volume: 34
Issue: 11
Pages: 2271-2285
ISSN: 0278-0062 (ISSN-L)
1558-254X
DOI: 10.1109/tmi.2015.2428634
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: green
archive-ouverte.unige.ch
Licence: cc-by
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/OAPA.html (vor)
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

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Spatiotemporal Clutter Filtering of Ultrafast Ultrasound Data Highly Increases Doppler and fUltrasound Sensitivity

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