Title :
Non-invasive estimation of a non-linear temperature gradient using spectral analysis of multi-echo ultrasonic signals
Author :
Bazán, I. ; Ramos, A. ; Vera, A. ; Posada, R. ; Leija, L.
Author_Institution :
Dept. of Postgrade, Inst. Tecnol. de Orizaba, Orizaba, Mexico
Abstract :
An spectral analysis technique, that establishes a linear relation between the temperature changes in a body and the frequency displacement in the overtone peaks being displayed in the power spectral density (PSD) of ultrasonic echo-signal, has been improved and applied by the paper authors to estimate temperature gradients induced inside a biological phantom by means of ultrasonic therapeutic radiation. In order to evaluate the technique results under controlled conditions, multi-pulse ideal waveforms are properly simulated, considering a non-linear temperature gradient as the thermal distribution induced on this simulated body. The results obtained by means of a very accurate spectral analysis are contrasted, at different depths, with the established increasing-decreasing temperature gradient. The adequacy of the technique to effectively estimate such a realistic temperature spatial distribution, inside a body, is evaluated regarding to selected frequency peaks behavior in comparison with thermal distribution along the central axis of the simulated body, under ultrasonic radiation.
Keywords :
echo; medical signal processing; radiation therapy; spectral analysis; temperature distribution; ultrasonic therapy; biological phantom; frequency displacement; multiecho ultrasonic signals; noninvasive estimation; nonlinear temperature gradient; power spectral density; spatial distribution; spectral analysis; temperature gradient estimation; thermal distribution; ultrasonic therapeutic radiation; Analytical models; Biological system modeling; Frequency estimation; Imaging phantoms; Microwave technology; Signal analysis; Spectral analysis; Temperature control; Temperature distribution; Ultrasonic imaging; Spectral analysis; multi-echo ultrasonic signal; non-invasive estimation; temperature gradient;
Conference_Titel :
Electrical Engineering, Computing Science and Automatic Control,CCE,2009 6th International Conference on
Conference_Location :
Toluca
Print_ISBN :
978-1-4244-4688-9
Electronic_ISBN :
978-1-4244-4689-6
DOI :
10.1109/ICEEE.2009.5393411