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Non-invasive Ultrasonic Measurements of Small Mechanical Alterations in Sub-millimeter Walls of Arteries and Phantoms
Author(s) -
Javier Brum,
António Ramos,
I. Bazán,
Carlos Negreira,
A. Ramí­rez,
Luis Díez
Publication year - 2015
Publication title -
physics procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.26
H-Index - 61
ISSN - 1875-3892
DOI - 10.1016/j.phpro.2015.03.024
Subject(s) - ultrasonic sensor , elasticity (physics) , imaging phantom , arterial wall , computer science , millimeter , acoustics , materials science , spectral density , biomedical engineering , optics , physics , medicine , telecommunications , composite material
The detection of changes in the properties of the walls in blood vessels (e.g. modifications in thickness or elasticity) is a promising way for the early diagnosis of cardiovascular diseases (e.g. atherosclerosis), and some attempts have been made using classic ultrasonic images. However, to obtain a reliable non-invasive estimation of these changes still presents many challenges that must be overcome, in particular, to achieve an accurate estimation of the vessel wall thickness, which usually is associated to strain and elasticity alterations happening before the cardiovascular disease presents clinical symptom; to solve efficiently these aspects is a very difficult task. In this work, the application to vessels of a recent ultrasonic method developed by the authors for estimating wall thicknesses is described. This method (based on high-resolution power spectral density - PSD) and its algorithmic responses were tested on an arterial phantom under physiological conditions of flow and pressure, and some results are compared to those obtained using a direct-time thickness estimation and with the resolutions related to our alternative cross-correlation option shown in previous papers. A higher spatial resolution is obtained, for experimental multi-pulse ultrasonic echoes, with this PSD method in comparison to those based on conventional echography, cross correlation operators or other spectral options

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