@inproceedings{9dcb88aca6fb446696a5776900a42af5,
title = "Noninvasive tissue temperature estimation via state-covariance spectral estimation",
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.",
author = "Amini, {Ali Nasiri} and Ebbini, {Emad S.} and Georgiou, {Tryphon T}",
year = "2004",
language = "English (US)",
isbn = "0780384342",
series = "2004 IEEE 11th Digital Signal Processing Workshop and 2nd IEEE Signal Processing Education Workshop",
pages = "342--346",
booktitle = "2004 IEEE 11th Digital Signal Processing Workshop and 2nd IEEE Signal Processing Education Workshop",
note = "2004 IEEE 11th Digital Signal Processing Workshop and 2nd IEEE Signal Processing Education Workshop ; Conference date: 01-08-2004 Through 04-08-2004",
}