Advanced

Computationally Efficient Time-Recursive IAA-Based Blood Velocity Estimation

Jakobsson, Andreas LU ; Glentis, George and Gudmundson, Erik LU (2012) In IEEE Transactions on Signal Processing 60(7). p.3853-3858
Abstract
High-resolution spectral Doppler is an important and pow- erful non-invasive tool for estimation of velocities in blood vessels using medical ultrasound scanners. Such estimates are typically formed using an averaged periodogram technique, resulting in well-known limitations in the resulting spectral resolution. Recently, we have proposed tech- niques to instead form high-resolution data-adaptive estimates exploiting measurements along both depth and emission. The resulting estimates gives noticeably superior velocity estimates as compared to the standard technique, but suffers from a high computational complexity, making it interesting to formulate computationally efficient implementations of the estimators. In this work, by exploiting... (More)
High-resolution spectral Doppler is an important and pow- erful non-invasive tool for estimation of velocities in blood vessels using medical ultrasound scanners. Such estimates are typically formed using an averaged periodogram technique, resulting in well-known limitations in the resulting spectral resolution. Recently, we have proposed tech- niques to instead form high-resolution data-adaptive estimates exploiting measurements along both depth and emission. The resulting estimates gives noticeably superior velocity estimates as compared to the standard technique, but suffers from a high computational complexity, making it interesting to formulate computationally efficient implementations of the estimators. In this work, by exploiting the rich structure of the iterative adaptive approach (IAA) based estimator, we examine how these estimates can be efficiently implemented in a time-recursive manner using both exact and approximate formulations of the method. The resulting algorithms are shown to reduce the necessary computational load with several orders of magnitude without noticeable loss of performance. (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
Blood velocity estimation, medical ultrasound, irregular sampling, spectral estimation, iterative adaptive approach (IAA), fast algorithms.
in
IEEE Transactions on Signal Processing
volume
60
issue
7
pages
3853 - 3858
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000305578800043
  • scopus:84862595773
ISSN
1053-587X
DOI
10.1109/TSP.2012.2192926
language
English
LU publication?
yes
id
ff40e6a1-6bad-431f-a847-e28ff52a2447 (old id 2439384)
date added to LUP
2012-08-31 14:52:17
date last changed
2017-10-22 03:31:29
@article{ff40e6a1-6bad-431f-a847-e28ff52a2447,
  abstract     = {High-resolution spectral Doppler is an important and pow- erful non-invasive tool for estimation of velocities in blood vessels using medical ultrasound scanners. Such estimates are typically formed using an averaged periodogram technique, resulting in well-known limitations in the resulting spectral resolution. Recently, we have proposed tech- niques to instead form high-resolution data-adaptive estimates exploiting measurements along both depth and emission. The resulting estimates gives noticeably superior velocity estimates as compared to the standard technique, but suffers from a high computational complexity, making it interesting to formulate computationally efficient implementations of the estimators. In this work, by exploiting the rich structure of the iterative adaptive approach (IAA) based estimator, we examine how these estimates can be efficiently implemented in a time-recursive manner using both exact and approximate formulations of the method. The resulting algorithms are shown to reduce the necessary computational load with several orders of magnitude without noticeable loss of performance.},
  author       = {Jakobsson, Andreas and Glentis, George and Gudmundson, Erik},
  issn         = {1053-587X},
  keyword      = {Blood velocity estimation,medical ultrasound,irregular sampling,spectral estimation,iterative adaptive approach (IAA),fast algorithms.},
  language     = {eng},
  number       = {7},
  pages        = {3853--3858},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Signal Processing},
  title        = {Computationally Efficient Time-Recursive IAA-Based Blood Velocity Estimation},
  url          = {http://dx.doi.org/10.1109/TSP.2012.2192926},
  volume       = {60},
  year         = {2012},
}