Cart (Loading....) | Create Account
Close category search window

Velocity profile detection through adaptive spectral estimators

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Ricci, S. ; Dept. of Electron. & Telecommun., Univ. degli Studi di Firenze, Firenze, Italy ; Guidi, F. ; Tortoli, P.

The echoes backscattered from red blood cells moving in a vessel at different depths, can be elaborated to obtain the so-called spectral profile, reporting the distribution of Doppler frequencies along the investigating M-line. The typical processing is based on power spectral density estimation applied to the slow-time samples gathered at each depth. The Welch estimator is typically employed, but it features a good spectral resolution only if the observation window (OW) (i.e. data processed for a single estimate) is composed of at least 64-128 samples. Adaptive spectral estimators capable of producing good resolution with reduced OWs, have recently been proposed for spectrogram calculation. In this work we apply Capon and APES adaptive estimator to spectral profile assessment, obtaining good profiles with short OWs. This result can be exploited for improving the temporal resolution and/or introducing multiple Doppler lines. Two examples are reported: in the first, the blood velocity distribution during the fast systolic acceleration in carotid artery is detailed with high temporal resolution; in the second, 4 spectral profiles are simultaneously detected at different sites of the carotid bifurcation.

Published in:

Ultrasonics Symposium (IUS), 2010 IEEE

Date of Conference:

11-14 Oct. 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.