Title :
Emboli characterization in blood mimicking fluid circulation using parametric modeling
Author :
Biard, M. ; Girault, J.M. ; Kouamé, D. ; Patat, F.
Author_Institution :
LUSSI/GIP Ultrasons, Tours, France
Abstract :
Cerebral microemboli remain a high part of all vascular cerebral accidents in the western world. Thus detection, sizing and nature (particulate or gaseous) evaluation are three important tasks which are necessary to understand embolisms and to perform correct diagnostics and even therapy. The problem of detection has been widely reported in many works. Our aim was here to address the emboli characterization, sizing and nature evaluation. This characterization is based on EBR (embolus to blood ratio). EBR values were computed with two signal processing approaches: Fourier technique and parametric modeling. Emboli were simulated with acrylic particles ranging from 220 μm to 500 μm. With the smallest emboli, parametric approaches gave variance and standard deviation better than Fourier techniques. In a second time, we use the same multifrequency approach to find the frequencies triplet which assumed the best differentiation between gaseous and particulate emboli over a high range of diameters.
Keywords :
Doppler measurement; Fourier analysis; bioacoustics; biomedical engineering; biomedical measurement; biomedical ultrasonics; blood; blood flow measurement; brain models; medical signal detection; medical signal processing; patient diagnosis; patient treatment; ultrasonic measurement; 220 to 500 micron; EBR; Fourier technique; blood mimicking fluid circulation; cerebral accidents; cerebral microemboli; emboli characterization; embolism detection; embolism diagnostics; embolism nature; embolism sizing; embolus to blood ratio; frequencies triplet; gaseous embolism; multifrequency approach; parametric modeling; particulate embolism; signal processing; standard deviation; therapy; transcranial Doppler ultrasound; variance; Accidents; Atmospheric modeling; Backscatter; Frequency; Medical treatment; Parametric statistics; Performance evaluation; Red blood cells; Signal processing; Solids;
Conference_Titel :
Ultrasonics Symposium, 2004 IEEE
Print_ISBN :
0-7803-8412-1
DOI :
10.1109/ULTSYM.2004.1418074