Application of wavelet analysis to ultrasonic characterization of bone

Wei Xu, Robert S. Siffert, Jonathan J. Kaufman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

This paper investigates the application of timefrequency techniques to ultrasonic signals transmitted through bone to noninvasively determine bone density and strength. Ultrasonic transmission measurements are carried out on 3 samples of human vertebral trabecular bone, using a 1 MHz transducer pair. The data is processed using the wavelet transform according to Mallat 's pyramid algorithm. The wavelet representation thus obtained is then cross-correlated with a wavelet representation of a reference signal to obtain the timefrequency representation associated with a particular bone sample. Results indicate that time-frequency methods may serve to accurately discriminate bone in various biophysical states. Further studies are under way to determine the best set of features associated with the time-frequency representation as well as the optimal means for processing the feature set, including neural networks.

Original languageEnglish
Title of host publicationConference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
PublisherIEEE Computer Society
Pages1090-1094
Number of pages5
ISBN (Electronic)0818664053
DOIs
StatePublished - 1994
Externally publishedYes
Event28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994 - Pacific Grove, United States
Duration: 31 Oct 19942 Nov 1994

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2
ISSN (Print)1058-6393

Conference

Conference28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
Country/TerritoryUnited States
CityPacific Grove
Period31/10/942/11/94

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