Optimum Quadratic Filters for Nonlinear Ultrasonic Imaging
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概要
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In this paper, we present a novel method of a quadratic filter (QF) design for separating nonlinearity in pulse–echo signals in order to improve the quality of ultrasound images. The design of QFs is performed in frequency domain. The two-dimensional (2D) frequency response of the optimum QF is composed of two 2D Gaussian functions with different spreads in their major and minor axes. The centers of the Gaussian functions are positioned at frequency pairs where the contrast-to-tissue (CTR) ratio is maximal along the main diagonal, i.e., major axis, of 2D frequency plane. The different spreads in major and minor axes offer two degrees of freedom in maximizing the CTR and axial resolution simultaneously. This avoids the inherent tradeoff between contrast and axial resolution when linear filters are used (e.g. in second harmonic imaging). We demonstrate the performance of the approach with echo data from two imaging targets, i.e., a flow phantom and a quality assurance phantom.
- 2009-07-25
著者
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Phukpattaranont Pornchai
Department Of Electrical Eng. Prince Of Songkla Univ.
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Limsakul Chusak
Department of Electrical Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla 90112, Thailand
関連論文
- P2-35 Post-Beamforming Second-Order Volterra Filters for Contrast Agent Imaging : A Frequency-Domain Aspect(Short oral presentation for posters)
- Optimum Quadratic Filters for Nonlinear Ultrasonic Imaging
- Separation of Nonlinear Ultrasound Signals Based on Second-Order Volterra System Identification