Computationally Efficient Time-Recursive IAA-Based Blood Velocity Estimation
(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:
https://lup.lub.lu.se/record/2439384
- author
- Jakobsson, Andreas LU ; Glentis, George and Gudmundson, Erik LU
- organization
- publishing date
- 2012
- 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
- 2016-04-01 11:13:41
- date last changed
- 2022-04-12 21:28:40
@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}}, keywords = {{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 = {{https://lup.lub.lu.se/search/files/2487644/2439386.pdf}}, doi = {{10.1109/TSP.2012.2192926}}, volume = {{60}}, year = {{2012}}, }