Use of modulated excitation Signals in medical ultrasound. Part I: Basic concepts and expected benefits

Misaridis, T; Jensen, JA

dc.contributor.author	Misaridis, T	en
dc.contributor.author	Jensen, JA	en
dc.date.accessioned	2014-03-01T01:23:18Z
dc.date.available	2014-03-01T01:23:18Z
dc.date.issued	2005	en
dc.identifier.issn	0885-3010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16895
dc.subject.classification	Acoustics	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Attenuation	en
dc.subject.other	Computer simulation	en
dc.subject.other	Frequency modulation	en
dc.subject.other	Imaging techniques	en
dc.subject.other	Optical resolving power	en
dc.subject.other	Signal processing	en
dc.subject.other	Signal to noise ratio	en
dc.subject.other	Waveform analysis	en
dc.subject.other	Medical ultrasound	en
dc.subject.other	Pulse compression	en
dc.subject.other	Scanner	en
dc.subject.other	Wiener filters	en
dc.subject.other	Ultrasonics	en
dc.title	Use of modulated excitation Signals in medical ultrasound. Part I: Basic concepts and expected benefits	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TUFFC.2005.1406545	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TUFFC.2005.1406545	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	This paper, the first from a series of three papers on the application of coded excitation signals in medical ultrasound, discusses the basic principles and ultrasound-related problems of pulse compression. The concepts of signal modulation and matched filtering are given, and a simple model of attenuation relates the matched filter response with the ambiguity function, known from radar. Based on this analysis and the properties of the ambiguity function, the selection of coded waveforms suitable for ultrasound imaging is discussed. It is shown that linear frequency modulation (FM) signals have the best and most robust features for ultrasound imaging. Other coded signals such as nonlinear FM and binary complementary Golay codes also have been considered and characterized in terms of signal-to-noise ratio (SNR) and sensitivity to frequency shifts. Using the simulation program Field II, it is found that in the case of linear FM signals, a SNR improvement of 12 to 18 dB can be expected for large imaging depths in attenuating media, without any depth-dependent filter compensation. In contrast, nonlinear FM modulation and binary codes are shown to give a SNR. improvement of only 4 to 9 dB when processed with a matched filter. Other issues, such as depth-dependent matched filtering and use of filters other than the matched filter (inverse and Wiener filters) also are addressed. © 2005 IEEE.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control	en
dc.identifier.doi	10.1109/TUFFC.2005.1406545	en
dc.identifier.isi	ISI:000227598700004	en
dc.identifier.volume	52	en
dc.identifier.issue	2	en
dc.identifier.spage	177	en
dc.identifier.epage	190	en