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Doppler Slicing for Ultrasound Super-Resolution Without Contrast Agents

Bar-Zion, Avinoam and Solomon, Oren and Rabut, Claire and Maresca, David and Eldar, Yonina C. and Shapiro, Mikhail G. (2021) Doppler Slicing for Ultrasound Super-Resolution Without Contrast Agents. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20211122-182853483

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Abstract

Much of the information needed for diagnosis and treatment monitoring of diseases like cancer and cardiovascular disease is found at scales below the resolution limit of classic ultrasound imaging. Recently introduced vascular super-localization methods provide more than a ten-fold improvement in spatial resolution by precisely estimating the positions of microbubble contrast agents. However, most vascular ultrasound scans are currently performed without contrast agents due to the associated cost, training, and post-scan monitoring. Here we show that super-resolution ultrasound imaging of dense vascular structures can be achieved using the natural contrast of flowing blood cells. Instead of relying on separable targets, we used Fourier-based decomposition to separate signals arising from the different scales of vascular structures while removing speckle noise using multi-ensemble processing. This approach enabled the use of compressed sensing for super-resolution imaging of the underlying vascular structures, improving resolution by a factor of four. Reconstruction of ultrafast mouse brain scans revealed details that could not be resolved in regular Doppler images, agreeing closely with bubble-based super-localization microscopy of the same fields of view. By combining multi-ensemble Doppler acquisitions with narrowband Fourier decomposition and computational super-resolution imaging, this approach opens new opportunities for affordable and scalable super-resolution ultrasound imaging.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
https://doi.org/10.1101/2021.11.19.469083DOIDiscussion Paper
ORCID:
AuthorORCID
Bar-Zion, Avinoam0000-0002-7564-9467
Solomon, Oren0000-0003-0240-0852
Rabut, Claire0000-0002-4571-1215
Maresca, David0000-0002-4921-6406
Shapiro, Mikhail G.0000-0002-0291-4215
Additional Information:The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 792866. The authors have declared no competing interest.
Funders:
Funding AgencyGrant Number
Marie Curie Fellowship792866
Subject Keywords:Compressed sensing, contrast-enhanced ultrasound, sparse representation, super-localization microscopy, super-resolution
DOI:10.1101/2021.11.19.469083
Record Number:CaltechAUTHORS:20211122-182853483
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20211122-182853483
Official Citation:Doppler Slicing for Ultrasound Super-Resolution Without Contrast Agents Avinoam Bar-Zion, Oren Solomon, Claire Rabut, David Maresca, Yonina C. Eldar, Mikhail G. Shapiro bioRxiv 2021.11.19.469083; doi: https://doi.org/10.1101/2021.11.19.469083
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:111975
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:22 Nov 2021 18:51
Last Modified:22 Nov 2021 18:51

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