DocumentCode
2232111
Title
A new SVD-based optimal inverse filter design for ultrasonic applications
Author
Ebbini, Emad S. ; Pai-Chi Li ; Jian Shen
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI
fYear
1993
fDate
31 Oct-3 Nov 1993
Firstpage
1187
Abstract
A new approach for the design of optimal pseudoinverse filter for ultrasonic applications is presented. The filter is derived from the spatio-temporal impulse response of the US system at scatterer locations (assumed to be on a uniform grid) in the region of interest (ROI). We provide a derivation for the filter coefficients based linear formulation of the pulse propagation from the scatterers to the transducer. In this paper, we show the frequency response of the derived filter using experimental data and we demonstrate that the new formulation does indeed behave as an inverse filter (i.e., it provides spectral inversion in the passband of the original system). However, for coded-excitation systems, the pseudoinverse can be derived for 2D and 3D imaging. This approach will provide the opportunity for simultaneous acquisition of many image lines upon each transmit. Thus, it can be used to increase the frame rate of ultrasound imaging systems
Keywords
acoustic arrays; acoustic imaging; acoustic signal processing; array signal processing; filters; ultrasonic applications; SVD-based optimal inverse filter design; US system; filter coefficients; frame rate; image lines; linear formulation; optimal pseudoinverse filter; pulse propagation; scatterer locations; spatio-temporal impulse response; ultrasonic applications; ultrasound imaging systems; Acoustic applications; Acoustic scattering; Frequency response; Neural networks; Nonlinear filters; Passband; Signal to noise ratio; Transversal filters; Ultrasonic imaging; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Ultrasonics Symposium, 1993. Proceedings., IEEE 1993
Conference_Location
Baltimore, MD
Print_ISBN
0-7803-2012-3
Type
conf
DOI
10.1109/ULTSYM.1993.339621
Filename
339621
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