Three-dimensional Shear Wave Elastography Using Acoustic Radiation Force and A 2-D Row-Column Addressing (RCA) Array Article Swipe
Zhijie Dong
,
U‐Wai Lok
,
Matthew R. Lowerison
,
Chengwu Huang
,
Shigao Chen
,
Pengfei Song
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1101/2023.05.18.541365
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1101/2023.05.18.541365
Acoustic radiation force (ARF)-based shear wave elastography (SWE) is a clinically available ultrasound imaging mode that noninvasively and quantitatively measures tissue stiffness. Current implementations of ARF-SWE are largely limited to 2-D imaging, which does not provide robust estimation of heterogeneous tissue mechanical properties. Existing 3-D ARF-SWE solutions that are clinically available are based on wobbler probes, which cannot provide true 3-D shear wave motion detection. Although 3-D ARF-SWE based on 2-D matrix arrays have been previously demonstrated, they do not provide a practical solution because of the need for a high channel-count ultrasound system (e.g., 1024-channel) to provide adequate volume rates and the delicate circuitries (e.g., multiplexers) that are vulnerable to the long-duration “push” pulses. To address these issues, here we propose a new 3-D ARF-SWE method based on the 2-D row-column addressing (RCA) array which has a much lower element count (e.g., 256), provides an ultrafast imaging volume rate (e.g., 2000 Hz), and can withstand the push pulses. In this study, we combined the comb-push shear elastography (CUSE) technique with 2-D RCA for enhanced SWE imaging field-of-view. In vitro phantom studies demonstrated that the proposed method had robust 3-D SWE performance in both homogenous and inclusion phantoms. An in vivo study on a breast cancer patient showed that the proposed method could reconstruct 3-D elasticity maps of the breast lesion, which was validated using a commercial ultrasound scanner. These results demonstrate strong potential for the proposed method to provide a viable and practical solution for clinical 3-D ARF-SWE.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2023.05.18.541365
- https://www.biorxiv.org/content/biorxiv/early/2023/05/22/2023.05.18.541365.full.pdf
- OA Status
- green
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4377232954
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4377232954Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2023.05.18.541365Digital Object Identifier
- Title
-
Three-dimensional Shear Wave Elastography Using Acoustic Radiation Force and A 2-D Row-Column Addressing (RCA) ArrayWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-05-22Full publication date if available
- Authors
-
Zhijie Dong, U‐Wai Lok, Matthew R. Lowerison, Chengwu Huang, Shigao Chen, Pengfei SongList of authors in order
- Landing page
-
https://doi.org/10.1101/2023.05.18.541365Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2023/05/22/2023.05.18.541365.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2023/05/22/2023.05.18.541365.full.pdfDirect OA link when available
- Concepts
-
Elastography, Imaging phantom, Acoustic radiation force, Ultrasound, Biomedical engineering, Materials science, Acoustics, Physics, Optics, MedicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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39Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(SWE) | 8 |
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| abstract_inverted_index.studies | 182 |
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| abstract_inverted_index.multiplexers) | 107 |
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| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5075793088 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I157725225 |
| citation_normalized_percentile.value | 0.17564195 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |