Emboli characterization in blood mimicking fluid circulation using parametric modelling - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2004

Emboli characterization in blood mimicking fluid circulation using parametric modelling

Résumé

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 /spl mu/m to 500 /spl mu/m. 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.
Fichier principal
Vignette du fichier
Emboli characterization in blood mimicking fluid circulation using parametric modeling.pdf (380.67 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03149795 , version 1 (24-02-2021)

Identifiants

Citer

Mathieu Biard, Jean-Marc Girault, Denis Kouamé, Frédéric Patat. Emboli characterization in blood mimicking fluid circulation using parametric modelling. 2004 IEEE International Ultrasonics, Ferroelectrics, and Frequency Control 50th Anniversary Joint Conference (IUS 2004), IEEE - UFFC (Ultrasonics, Ferroelectrics, and Frequency Control Society), Aug 2004, Montréal, Canada. pp.(electronic medium), ⟨10.1109/ULTSYM.2004.1418074⟩. ⟨hal-03149795⟩
34 Consultations
57 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More