Research on the Multi-Element Synthetic Aperture Focusing Technique in Breast Ultrasound Imaging, Based on the Ring Array Article Swipe
Yang Wu
,
Wendong Zhang
,
Xingling Shao
,
Yuhua Yang
,
Tian Zhang
,
Miao Lei
,
Zhihao Wang
,
Bizhen Gao
,
Shumin Hu
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/mi13101753
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/mi13101753
As a widely clinical detection method, ultrasonography (US) has been applied to the diagnosis of breast cancer. In this paper, the multi-element synthetic aperture focusing (M-SAF) is applied to the ring array of breast ultrasonography (US) imaging, which addresses the problem of low imaging quality due to the single active element for each emission and the reception in the synthetic aperture focusing. In order to determine the optimal sub-aperture size, the formula is derived for calculating the internal sound pressure of the ring array with a 200 mm diameter, and the sound pressure distribution is analyzed. The ring array with 1024 elements (1024 ring array) is established in COMSOL Multiphysics 5.6, and the optimal sub-aperture size is 16 elements, according to the sound field beam simulation and the directivity research. Based on the existing experimental conditions, the ring array with 256 elements (256 ring array) is simulated and verified by experiments. The simulation has a spatial resolution evaluation in the k-Wave toolbox, and the experiment uses nylon rope and breast model imaging. The results show that if the sub-aperture size has four elements, the imaging quality is the highest. Specifically, the spatial resolution is the best, and the sound pressure amplitude and signal-to-noise ratio (SNR) are maintained at a high level in the reconstructed image. The optimal sub-aperture theory is verified by the two kinds of ring arrays, which also provide a theoretical basis for the application of the multi-element synthetic aperture focusing technology (M-SAF) in ring arrays.
Related Topics
Concepts
Aperture (computer memory)
Multiphysics
Synthetic aperture radar
Acoustics
Optics
Breast imaging
Directivity
Sound pressure
Finite element method
Physics
Computer science
Mammography
Antenna (radio)
Telecommunications
Artificial intelligence
Thermodynamics
Medicine
Internal medicine
Breast cancer
Cancer
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/mi13101753
- https://www.mdpi.com/2072-666X/13/10/1753/pdf?version=1666669396
- OA Status
- gold
- Cited By
- 4
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4306391989
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4306391989Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/mi13101753Digital Object Identifier
- Title
-
Research on the Multi-Element Synthetic Aperture Focusing Technique in Breast Ultrasound Imaging, Based on the Ring ArrayWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-10-16Full publication date if available
- Authors
-
Yang Wu, Wendong Zhang, Xingling Shao, Yuhua Yang, Tian Zhang, Miao Lei, Zhihao Wang, Bizhen Gao, Shumin HuList of authors in order
- Landing page
-
https://doi.org/10.3390/mi13101753Publisher landing page
- PDF URL
-
https://www.mdpi.com/2072-666X/13/10/1753/pdf?version=1666669396Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2072-666X/13/10/1753/pdf?version=1666669396Direct OA link when available
- Concepts
-
Aperture (computer memory), Multiphysics, Synthetic aperture radar, Acoustics, Optics, Breast imaging, Directivity, Sound pressure, Finite element method, Physics, Computer science, Mammography, Antenna (radio), Telecommunications, Artificial intelligence, Thermodynamics, Medicine, Internal medicine, Breast cancer, CancerTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
38Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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