Compound Acoustic Radiation Force Impulse Imaging of Bovine Eye by Using Phase-Inverted Ultrasound Transduceropen access
- Authors
- Kim, Gil Su; Moon, Hak Hyun; Lee, Hee Su; Jeong, Jong Seob
- Issue Date
- May-2024
- Publisher
- Multidisciplinary Digital Publishing Institute (MDPI)
- Keywords
- compound acoustic radiation force impulse imaging; phase-inverted ultrasound transducer; internal ocular structure; depth-of-field
- Citation
- Sensors, v.24, no.9, pp 1 - 15
- Pages
- 15
- Indexed
- SCIE
SCOPUS
- Journal Title
- Sensors
- Volume
- 24
- Number
- 9
- Start Page
- 1
- End Page
- 15
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/21959
- DOI
- 10.3390/s24092700
- ISSN
- 1424-8220
1424-8220
- Abstract
- In general, it is difficult to visualize internal ocular structure and detect a lesion such as a cataract or glaucoma using the current ultrasound brightness-mode (B-mode) imaging. This is because the internal structure of the eye is rich in moisture, resulting in a lack of contrast between tissues in the B-mode image, and the penetration depth is low due to the attenuation of the ultrasound wave. In this study, the entire internal ocular structure of a bovine eye was visualized in an ex vivo environment using the compound acoustic radiation force impulse (CARFI) imaging scheme based on the phase-inverted ultrasound transducer (PIUT). In the proposed method, the aperture of the PIUT is divided into four sections, and the PIUT is driven by the out-of-phase input signal capable of generating split-focusing at the same time. Subsequently, the compound imaging technique was employed to increase signal-to-noise ratio (SNR) and to reduce displacement error. The experimental results demonstrated that the proposed technique could provide an acoustic radiation force impulse (ARFI) image of the bovine eye with a broader depth-of-field (DOF) and about 80% increased SNR compared to the conventional ARFI image obtained using the in-phase input signal. Therefore, the proposed technique can be one of the useful techniques capable of providing the image of the entire ocular structure to diagnose various eye diseases.
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Collections - College of Life Science and Biotechnology > Department of Biomedical Engineering > 1. Journal Articles

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