Adaptive Blood Velocity Estimation in Medical Ultrasound
(2007) IEEE International Conference on Acoustics, Speech and Signal Processing, 2007 p.293-296- 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... (More)
- 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. © 2007 IEEE. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1274673
- author
- Gran, Fredrik ; Jakobsson, Andreas LU and Jensen, Jörgen
- publishing date
- 2007
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Adaptive systems, Computer simulation, Medical imaging, Signal interference, Tissue, Ultrasonics, Blood velocity spectral estimate, Blood velocity estimation, Medical ultrasound, Adaptive spectral estimation
- host publication
- ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
- pages
- 293 - 296
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- IEEE International Conference on Acoustics, Speech and Signal Processing, 2007
- conference location
- Honolulu, United States
- conference dates
- 2007-04-15 - 2007-04-20
- external identifiers
-
- scopus:34547533479
- ISSN
- 1520-6149
- ISBN
- 1424407281
- DOI
- 10.1109/ICASSP.2007.366674
- language
- English
- LU publication?
- no
- id
- 0c00f333-a721-42fa-aee9-f4f74aee1479 (old id 1274673)
- date added to LUP
- 2016-04-01 16:36:51
- date last changed
- 2022-01-28 20:55:54
@inproceedings{0c00f333-a721-42fa-aee9-f4f74aee1479, 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. © 2007 IEEE.}}, author = {{Gran, Fredrik and Jakobsson, Andreas and Jensen, Jörgen}}, booktitle = {{ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings}}, isbn = {{1424407281}}, issn = {{1520-6149}}, keywords = {{Adaptive systems; Computer simulation; Medical imaging; Signal interference; Tissue; Ultrasonics; Blood velocity spectral estimate; Blood velocity estimation; Medical ultrasound; Adaptive spectral estimation}}, language = {{eng}}, pages = {{293--296}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Adaptive Blood Velocity Estimation in Medical Ultrasound}}, url = {{http://dx.doi.org/10.1109/ICASSP.2007.366674}}, doi = {{10.1109/ICASSP.2007.366674}}, year = {{2007}}, }