Noninvasive tissue temperature estimation via state-covariance spectral estimation

Ali Nasiri Amini, Emad S. Ebbini, Tryphon T. Georgiou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We address the noninvasive temperature estimation from pulse-echo radio frequency signals obtained by standard diagnostic ultrasound imaging equipment. In particular, we use a novel spectral estimation technique based on state-covaraince subspace analysis for tracking frequency shifts at two or more harmonic frequencies associated with temperature change. The new approach is shown to produce superior frequency shift estimates when compared to conventional high-resolution spectral estimation methods. The experimental results validate the theoretical prediction of existing harmonically-related peaks in the echo signal spectrum.

Original languageEnglish (US)
Title of host publication2004 IEEE 11th Digital Signal Processing Workshop and 2nd IEEE Signal Processing Education Workshop
Pages342-346
Number of pages5
StatePublished - Dec 1 2004
Event2004 IEEE 11th Digital Signal Processing Workshop and 2nd IEEE Signal Processing Education Workshop - Taos Ski Valley, NM, United States
Duration: Aug 1 2004Aug 4 2004

Publication series

Name2004 IEEE 11th Digital Signal Processing Workshop and 2nd IEEE Signal Processing Education Workshop

Other

Other2004 IEEE 11th Digital Signal Processing Workshop and 2nd IEEE Signal Processing Education Workshop
CountryUnited States
CityTaos Ski Valley, NM
Period8/1/048/4/04

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