Published February 2024 | Version Published
Journal Article

Broad Elevation Projection Super-Resolution Ultrasound (BEP-SRUS) Imaging With a 1-D Unfocused Linear Array

Abstract

Super-resolution ultrasound (SRUS) through localizing spatially isolated microbubbles (MBs) has been demonstrated to overcome the wave diffraction limit and reveal the microvascular structure and flow information at the microscopic scale. However, 3-D SRUS imaging remains a challenge due to the fabrication and computational complexity of 2-D matrix array probes. Inspired by X-ray radiography which can present information within a volume in a single projection image with much simpler hardware than X-ray computerized tomography (CT), this study investigates the feasibility of broad elevation projection super-resolution (BEP-SR) ultrasound using a 1-D unfocused linear array. Both simulation and in vitro experiments were conducted on 3-D microvessel phantoms. In vivo demonstration was done on the Rabbit kidney. Data from a 1-D linear array with and without an elevational focus were synthesized by summing up row signals acquired from a 2-D matrix array with and without delays. A full 3-D reconstruction was also generated as the reference, using the same data of the 2-D matrix array but without summing row signals. Results show that using an unfocused 1-D array probe, BEP-SR can capture significantly more information within a volume in both vascular structure and flow velocity than the conventional 1-D elevational-focused probe. Compared with the 2-D projection image of the full 3-D SRUS results using the 2-D array probe with the same aperture size, the 2-D projection SRUS image of BEP-SR has similar volume coverage, using 32 folds fewer independent elements. This study demonstrates BEP-SR’s ability of high-resolution imaging of microvascular structures and flow velocity within a 3-D volume at significantly reduced costs. The proposed BEP method could significantly benefit the clinical translation of the SRUS imaging technique by making it more affordable and repeatable.

Copyright and License

© 2023 IEEE.

Funding

This work was supported in part by the Chan Zuckerberg Initiative (CZI) Project; in part by the Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/V04799X/1, and Grant EP/N026942/1; in part by the EPSRC Impact Acceleration Account under Grant EP/R511547/1; in part by the National Institute for Health Research i4i under Grant NIHR200972; in part by the British Heart Foundation under Grant PG/18/48/33832; and in part by the International Human Frontier Science Program Organization under Grant LT0036/2022-L. The work of Xiaowei Zhou was supported by the Overseas-Educated Scholars Entrepreneurship and Innovation Support Program of Chongqing, China, under Grant cx2021022.

Acknowledgement

The authors would like to thank Dr. Jacob BroughtonVenner for the discussion and Qingyuan Tan for his help with the plot of figures.

Ethics

This work involved animals in its research. Approval of all ethical and experimental procedures and protocols was granted by Animal Welfare and Ethical Review Body of Imperial College London under Application No. P15180DF2 (Date: 16th, March, 2017).

Additional details

Identifiers

ISSN
1525-8955

Funding

Chan Zuckerberg Initiative (United States)
Engineering and Physical Sciences Research Council
EP/V04799X/1
Engineering and Physical Sciences Research Council
EP/N026942/1
Engineering and Physical Sciences Research Council
EP/R511547/1
National Institute for Health Research
R200972
British Heart Foundation
PG/18/48/33832
International Human Frontier Science Program Organization
LT0036/2022-L
Overseas-Educated Scholars Entrepreneurship and Innovation Support Program of Chongqing, China
cx2021022