DocumentCode :
3479211
Title :
Pulse elongation and deconvolution filtering for medical ultrasonic imaging
Author :
Haider, Bruno ; Lewin, Peter A. ; Thomenius, Kai E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
Volume :
2
fYear :
1995
fDate :
7-10 Nov 1995
Firstpage :
1303
Abstract :
Range sidelobe artifacts which are associated with pulse compression methods can be reduced with a new method composed of Pulse Elongation and Deconvolution (PED). Both approaches yield similar signal-to-noise ratio (SNR) improvements. The deconvolution is implemented as a stabilized inverse filter. The excitation wave form is optimized in a minimum mean square error (MMSE) sense. An analytical expression for the power spectrum of the optimal pulse is presented and several techniques to numerically optimize the excitation pulse are shown. The effects of PED are demonstrated in computer simulations as well as ultrasonic images
Keywords :
acoustic signal processing; biomedical ultrasonics; deconvolution; medical image processing; pulse compression; computer simulations; deconvolution filtering; excitation waveform; medical diagnostic imaging; medical ultrasonic imaging; minimum mean square error optimization; pulse elongation; range sidelobe artifacts; signal-to-noise ratio improvements; stabilized inverse filter; Biomedical imaging; Deconvolution; Filtering; Filters; Pulse amplifiers; Pulse compression methods; Signal processing; Signal to noise ratio; Transducers; Ultrasonic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultrasonics Symposium, 1995. Proceedings., 1995 IEEE
Conference_Location :
Seattle, WA
ISSN :
1051-0117
Print_ISBN :
0-7803-2940-6
Type :
conf
DOI :
10.1109/ULTSYM.1995.495796
Filename :
495796
Link To Document :
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