Noninvasive estimation of tissue temperature via high-resolution spectral analysis techniques.
We address the noninvasive temperature estimation from pulse-echo radio frequency signals from standard diagnostic ultrasound imaging equipment. In particular, we investigate the use of a high-resolution spectral estimation method for tracking frequency shifts at two or more harmonic frequencies associated with temperature change. The new approach, employing generalized second-order statistics, is shown to produce superior frequency shift estimates when compared to conventional high-resolution spectral estimation methods Seip and Ebbini (1995). Furthermore, temperature estimates from the new algorithm are compared with results from the more commonly used echo shift method described in Simon et al. (1998).
Amini
Ali Nasiri
AN
Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN 55455, USA. nasiri@ece.umn.edu
Ebbini
Emad S
ES
Georgiou
Tryphon T
TT
D000465:Algorithms; D000818:Animals; D001831:Body Temperature / Q000502:physiology; D002417:Cattle; D003198:Computer Simulation; D003238:Connective Tissue / Q000502:physiology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D008954:Models, Biological; D018482:Muscle, Skeletal / Q000000981:diagnostic imaging* / Q000502:physiology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013817:Thermography / Q000379:methods*; D014463:Ultrasonography