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2D Complex Shear Modulus Imaging in Gaussian Noise

Nguyen, Thi Anh Dao and Tran, Duc Tan and Nguyen, Linh Trung (2014) 2D Complex Shear Modulus Imaging in Gaussian Noise. In: The 5th International Conference on Biomedical Engineering in Vietnam, 16-18 June 2014, Ho Chi Minh city.

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Dynamic shear-wave estimation of complex shear modulus (CSM) has demonstrated the ability to detect tumors. Ultrasound shear wave imaging is one of the methods for quantitatively estimating relevant elasticity parameters of tissues via the wave number and propagation attenuation of ultrasound waves. Maximum Likelihood Ensemble Filter (MLEF) has been efficiently applied for estimating the CSM parameters, but limited to one-dimensional (1D) scenario. This paper extends this method to detecting two-dimensional (2D) objects affected by Gaussian noise during the Doppler acquisition. A ray scanning method is used for modeling the propagation directions (lines) along each of which the MLEF is used for estimating the CSM parameters.The object 2D image is then reconstructed by transforming these estimated CSM parameters from the polar coordinates to Carte sian coordinates. it is not necessary to increase the ensemble size (which means an increase in the algorithm complexity) when the noise level is low.

Item Type: Conference or Workshop Item (Paper)
Subjects: Electronics and Communications
Electronics and Communications > Electronics and Computer Engineering
Divisions: Faculty of Electronics and Telecommunications (FET)
Depositing User: Assoc/Prof Duc Tan Tran
Date Deposited: 26 May 2016 15:32
Last Modified: 14 Dec 2016 08:25

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