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

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 access
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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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
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
Licence
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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