Hahne, Christopher; Sznitman, Raphael (2023). Geometric Ultrasound Localization Microscopy. In: Greenspan, Hayit; Madabhushi, Anant; Mousavi, Parvin; Salcudean, Septimiu; Duncan, James; Syeda-Mahmood, Tanveer; Taylor, Russell (eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. Lecture Notes in Computer Science: Vol. 14229 (pp. 217-227). Cham: Springer Nature Switzerland
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2306.15548v3.pdf - Submitted Version Available under License Creative Commons: Attribution (CC-BY). Download (5MB) | Preview |
Contrast-Enhanced Ultra-Sound (CEUS) has become a viable method for non-invasive, dynamic visualization in medical diagnostics, yet Ultrasound Localization Microscopy (ULM) has enabled a revolutionary breakthrough by offering ten times higher resolution. To date, Delay-And-Sum (DAS) beamformers are used to render ULM frames, ultimately determining the image resolution capability. To take full advantage of ULM, this study questions whether beamforming is the most effective processing step for ULM, suggesting an alternative approach that relies solely on Time-Difference-of-Arrival (TDoA) information. To this end, a novel geometric framework for microbubble localization via ellipse intersections is proposed to overcome existing beamforming limitations. We present a benchmark comparison based on a public dataset for which our geometric ULM outperforms existing baseline methods in terms of accuracy and robustness while only utilizing a portion of the available transducer data.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research 10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - AI in Medical Imaging Laboratory |
UniBE Contributor: |
Hahne, Christopher, Sznitman, Raphael |
Subjects: |
500 Science > 570 Life sciences; biology 600 Technology > 610 Medicine & health |
ISBN: |
978-3-031-43999-5 |
Series: |
Lecture Notes in Computer Science |
Publisher: |
Springer Nature Switzerland |
Funders: |
[159] Hasler Foundation |
Language: |
English |
Submitter: |
Christopher Hahne |
Date Deposited: |
08 Nov 2023 12:57 |
Last Modified: |
08 Nov 2023 12:57 |
ArXiv ID: |
2306.15548v3 |
BORIS DOI: |
10.48350/188667 |
URI: |
https://boris.unibe.ch/id/eprint/188667 |
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