Ultrasonic C-scan imaging for material characterization

Gordon, Grant A.; Canumalla, S.; Tittmann, Bernhard R.

doi:10.1016/0041-624x(93)90071-7

Cited by 26 publications

(8 citation statements)

References 6 publications

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“…Figs. (14a and b) are acoustic C-Scan images (two-dimensional display of the image of reflected echoes at a focused plane of interest) [72] of thickly sectioned abnormal melanoma and normal skin tissues. The thickness of the specimens is 3 mm, and the input frequency to the acoustic lens (Olympus NDT) is 50 MHz, the maximum frequency for this acoustic system.…”

Section: Skin Cancer Examplementioning

confidence: 99%

Overview of Recent Advancement in Ultrasonic Imaging for Biomedical Applications

Miyasaka¹,

Yoshida²

2018

Open Neuroimage. J.

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This paper discusses the application of acoustic microscopy to the detection of cancerous cells. Acoustic microscopy is a welldeveloped technique but the application to biological tissues is challenging. Acoustic microscopy images abnormality based on the difference in the acoustic impedance from the background. One of the difficulties in the biomedical applications is that since both normal and abnormal cells consist of mostly water, their acoustic impedance is quite close to each other. Consequently, the contrast of the image tends to be low. Another issue is concerning the spatial resolution. For higher resolution, the use of a short wavelength is essential. However, since the attenuation of an ultrasonic signal increases quadratically with the frequency, the reduction in the wavelength compromises the image quality. The present paper addresses these issues and describes various techniques to overcome the problems.

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Section: Skin Cancer Examplementioning

confidence: 99%

Overview of Recent Advancement in Ultrasonic Imaging for Biomedical Applications

Miyasaka¹,

Yoshida²

2018

Open Neuroimage. J.

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“…[1][2][3] In the nondestructive evaluation of material surfaces, the detection of defects and the determination of the elastic properties of the subsurface structure are carried out in a variety of circumstances. [4][5][6] The use of SAW instead of bulk acoustic waves is a characteristic of frequency-dependent surface confinement. The energy of SAW decays exponentially with distance from the surface, and 90% of the energy is confined within a depth of the order of one wavelength.…”

Section: Introductionmentioning

confidence: 99%

Firmness evaluation of watermelon and melon using velocity dispersion of surface-acoustic-wave

Choi

Sugashima

Ikeda

2022

Jpn. J. Appl. Phys.

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The surface-acoustic-wave (SAW) velocity was measured in the frequency range of 400–7000 Hz in watermelon and melon to evaluate the firmness nondestructively. We showed that the positive velocity dispersion (velocity increases with increasing frequency) observed was caused by the fruit structure, which consists of a hard pericarp and underlying soft flesh. In watermelon, the low-frequency limit of the velocity dispersion curve observed for the pericarp predicted the SAW velocity in watermelon flesh, which was measured to be independent of frequency. In melon, the positive velocity dispersions observed for the pericarp as well as the flesh suggested a distribution of elasticity in the depth direction. Ripening for fourteen days caused a decrease in the SAW velocity by 34–57% depending on the frequency. The present results indicate that the SAW velocity dispersion is a good measure of the firmness and ripening of fruits.

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“…There has been a substantial volume of research demonstrating the accuracy and reliability of ultrasonic C-scan in damage detection, location and characterization, especially when applied to composite materials. [1][2][3] However, damage detection techniques based on ultrasonic waves are beset with operational challenges that can restrict their practicability and efficiency. In general, the inspected object is required to be physically accessible, water-resistant, homogeneous, with adequate size and smooth surface for accurate inspections with ultrasonic NDT.…”

Section: Introductionmentioning

confidence: 99%

Modal-based vibrothermography using feature extraction with application to composite materials

Chi

Maio

Lieven

2019

Structural Health Monitoring

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This research focuses on the development of a damage detection algorithm based on modal testing, vibrothermography, and feature extraction. The theoretical development of mathematical models is presented to illustrate the principles supporting the associated algorithms, through which the importance of the three components contributing to this approach is demonstrated. Experimental tests and analytical simulations have been performed in laboratory conditions to show that the proposed damage detection algorithm is able to detect, locate, and extract the features generated due to the presence of sub-surface damage in aerospace grade composite materials captured by an infrared camera. Through tests and analyses, the reliability and repeatability of this damage detection algorithm are verified. In the concluding observations of this article, suggestions are proposed for this algorithm’s practical applications in an operational environment.

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Ultrasonic C-scan imaging for material characterization

Cited by 26 publications

References 6 publications

Overview of Recent Advancement in Ultrasonic Imaging for Biomedical Applications

Overview of Recent Advancement in Ultrasonic Imaging for Biomedical Applications

Firmness evaluation of watermelon and melon using velocity dispersion of surface-acoustic-wave

Modal-based vibrothermography using feature extraction with application to composite materials

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