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Blood Velocity Estimation Using Ultrasound and Spectral Iterative Adaptive Approaches

Gudmundson, Erik LU ; Jakobsson, Andreas LU ; Jensen, Jörgen and Stoica, Peter (2011) In Signal Processing 91(5). p.1275-1283
Abstract
This paper proposes two novel iterative data-adaptive spectral estimation techniques for blood velocity estimation using medical ultrasound scanners. The techniques make no assumption on the sampling pattern of the emissions or the depth samples, allowing for duplex mode transmissions where B-mode images are interleaved with the Doppler emissions. Furthermore, the techniques are shown, using both simplified and more realistic Field II simulations as well as in vivo data, to outperform current state-of-the- art techniques, allowing for accurate estimation of the blood velocity spectrum using only 30% of the transmissions, thereby allowing for the examination of two separate vessel regions while retaining an adequate updating rate of the... (More)
This paper proposes two novel iterative data-adaptive spectral estimation techniques for blood velocity estimation using medical ultrasound scanners. The techniques make no assumption on the sampling pattern of the emissions or the depth samples, allowing for duplex mode transmissions where B-mode images are interleaved with the Doppler emissions. Furthermore, the techniques are shown, using both simplified and more realistic Field II simulations as well as in vivo data, to outperform current state-of-the- art techniques, allowing for accurate estimation of the blood velocity spectrum using only 30% of the transmissions, thereby allowing for the examination of two separate vessel regions while retaining an adequate updating rate of the B-mode images. In addition, the proposed methods also allow for more flexible transmission patterns, as well as exhibit fewer spectral artifacts as compared to earlier techniques. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Irregular sampling, Blood velocity estimation, Medical ultrasound, Spectral estimation
in
Signal Processing
volume
91
issue
5
pages
1275 - 1283
publisher
Elsevier
external identifiers
  • wos:000287905700022
  • scopus:79551494425
ISSN
0165-1684
DOI
10.1016/j.sigpro.2010.12.014
language
English
LU publication?
yes
id
3fee8873-9b5c-4048-a659-c7163059f55a (old id 1761208)
date added to LUP
2011-07-14 11:20:01
date last changed
2017-07-30 04:10:35
@article{3fee8873-9b5c-4048-a659-c7163059f55a,
  abstract     = {This paper proposes two novel iterative data-adaptive spectral estimation techniques for blood velocity estimation using medical ultrasound scanners. The techniques make no assumption on the sampling pattern of the emissions or the depth samples, allowing for duplex mode transmissions where B-mode images are interleaved with the Doppler emissions. Furthermore, the techniques are shown, using both simplified and more realistic Field II simulations as well as in vivo data, to outperform current state-of-the- art techniques, allowing for accurate estimation of the blood velocity spectrum using only 30% of the transmissions, thereby allowing for the examination of two separate vessel regions while retaining an adequate updating rate of the B-mode images. In addition, the proposed methods also allow for more flexible transmission patterns, as well as exhibit fewer spectral artifacts as compared to earlier techniques.},
  author       = {Gudmundson, Erik and Jakobsson, Andreas and Jensen, Jörgen and Stoica, Peter},
  issn         = {0165-1684},
  keyword      = {Irregular sampling,Blood velocity estimation,Medical ultrasound,Spectral estimation},
  language     = {eng},
  number       = {5},
  pages        = {1275--1283},
  publisher    = {Elsevier},
  series       = {Signal Processing},
  title        = {Blood Velocity Estimation Using Ultrasound and Spectral Iterative Adaptive Approaches},
  url          = {http://dx.doi.org/10.1016/j.sigpro.2010.12.014},
  volume       = {91},
  year         = {2011},
}