Adaptive blood velocity estimation in medical ultrasound

Fredrik Gran, Andreas Jakobsson, Jørgen Arendt Jensen

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Abstract

This paper investigates the use of data-adaptive spectral estimation techniques for blood velocity estimation in medical ultrasound. Current commercial systems are based on the averaged periodogram, which requires a large observation window to give sufficient spectral resolution. Herein, we propose a novel data-adaptive method to form the blood velocity spectral estimate. The method is evaluated using realistic field II simulations for both steady and unsteady flow. The latter representing the femoral artery with strong tissue interference. The method is compared to the averaged periodogram and a Capon-based estimator. The simulations indicate that the proposed method offer a significant performance gain, suggesting that the frame-rate may be increased dramatically by using adaptive spectral estimation techniques.
Original languageEnglish
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing
Volume1
PublisherIEEE
Publication date2007
Pages293-296
ISBN (Print)1-4244-0727-3, 978-1-4244-0728-6
DOIs
Publication statusPublished - 2007
Event32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007 - Honolulu, HI, United States
Duration: 15 Apr 200720 Apr 2007

Conference

Conference32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007
Country/TerritoryUnited States
CityHonolulu, HI
Period15/04/200720/04/2007
SeriesI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
ISSN1520-6149

Bibliographical note

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