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Using Coded Excitation to Detect Tissue Vibration in Ultrasonic Elastography

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Studying the propagation of shear waves can lead to the discovery of important tissue parameters such as viscoelasticity. It is a challenge to obtain high quality shear waves in very noisy environments, like the deep tissues of obese patients, because the shear wave motion signal is extracted from the ultrasound signal which suffers large attenuation. We investigated the feasibility of implementing coded excitation for shear wave detection, with the hypothesis that coded excitation can improve the ability to detect the high frequency component of the shear wave and increase the penetration. The Barker 7, Barker 13, and short pulse were used for shear wave detection. The primary objective of this work is to demonstrate that the coded excitation can improve the ability to detect the high frequency component of the shear wave. The high frequency component of the shear wave is important for improving the estimation accuracy of viscoelasticity of dispersive tissue. Our second experiment demonstrated that Transient Elastography penetration (TE) can be improved using the coding method. Our results indicate that coding pulse excitation significantly improves the quality of shear wave detection, which has important clinical applications.
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Document Type: Research Article

Publication date: February 1, 2017

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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