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Enhancing Shear Wave Estimation Through Directional and Kalman Filters for Noise Reduction

Hiep, N.S. and Nghia, T.D. and Hai, L.Q. and Thuong, V.T. and Prakash, K.B. and Tan, T.D. (2024) Enhancing Shear Wave Estimation Through Directional and Kalman Filters for Noise Reduction. Lecture Notes in Networks and Systems, 1029 L. pp. 164-169. ISSN 23673370

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Abstract

In the present day, various imaging diagnostic techniques support doctors in the diagnosis of tumors, including MRI imaging, CT scans, X-rays, mode B ultrasound, and ultrasound elastography… Elastography techniques have garnered significant attention and strong development in recent years, offering advantages such as non-invasiveness, low cost, rapid examination times, and high reliability. To determine the elasticity of tissue, this technique requires estimating viscosity and elasticity based on the velocity of shear waves captured by the Doppler ultrasound probe. The velocity signal contains noise from reflected waves and random interference, affecting the signal quality. In this paper, the we used directional filter and Kalman filter to eliminated the noise. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Item Type: Article
Divisions: Offices > Office of International Cooperation
Identification Number: 10.1007/978-3-031-61929-8₂₄
Uncontrolled Keywords: Bandpass filters; Biomedical engineering; Computerized tomography; Doppler effect; Image coding; Image segmentation; Kalman filters; Shear flow; Ultrasonic imaging, reductions; Composite wave; CT-scan; Diagnostics techniques; Directional filters; Elastography; Imaging diagnostics; Invasiveness; Reflected waves; Ultrasound elastography, Shear waves
Additional Information: Conference of International Conference on Internet of Everything and Quantum Information Processing, IEQIP 2023 ; Conference Date: 24 November 2023 Through 25 November 2023; Conference Code:318669
URI: http://eprints.lqdtu.edu.vn/id/eprint/11356

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