Home > Research > Publications & Outputs > Contour extraction from ultrasound images viewe...
View graph of relations

Contour extraction from ultrasound images viewed as a tracking problem.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Contour extraction from ultrasound images viewed as a tracking problem. / Angelova, Donka; Mihaylova, Lyudmila.

12th International Conference on Information Fusion, 2009. FUSION '09.. IEEE, 2009. p. 284-291.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Angelova, D & Mihaylova, L 2009, Contour extraction from ultrasound images viewed as a tracking problem. in 12th International Conference on Information Fusion, 2009. FUSION '09.. IEEE, pp. 284-291, 12th International Conference on Information Fusion, Seattle, USA, 6/07/09. <http://www.isif.org/fusion2009.htm>

APA

Angelova, D., & Mihaylova, L. (2009). Contour extraction from ultrasound images viewed as a tracking problem. In 12th International Conference on Information Fusion, 2009. FUSION '09. (pp. 284-291). IEEE. http://www.isif.org/fusion2009.htm

Vancouver

Angelova D, Mihaylova L. Contour extraction from ultrasound images viewed as a tracking problem. In 12th International Conference on Information Fusion, 2009. FUSION '09.. IEEE. 2009. p. 284-291

Author

Angelova, Donka ; Mihaylova, Lyudmila. / Contour extraction from ultrasound images viewed as a tracking problem. 12th International Conference on Information Fusion, 2009. FUSION '09.. IEEE, 2009. pp. 284-291

Bibtex

@inproceedings{005fe78a043947019d30cc10cf88939a,
title = "Contour extraction from ultrasound images viewed as a tracking problem.",
abstract = "This paper focuses on the problem of contour extraction in medical images and shows that this segmentation task can be viewed as a tracking problem. The influence of the speckle noise and of the high nonlinearities is overcome by Monte Carlo methods. An efficient multiple model Monte Carlo algorithm for progressive contour growing (tracking) is developed, accounting for convex, non-circular forms of delineated contour areas. The driving idea of the proposed filter consists in the incorporation of different image intensity inside and outside the contour into the filter likelihood. A PDA procedure using the contour edge mag- nitude is applied to cope with the measurement origin uncertainty. The filter performance is studied by ex- tracting contours from a number of real and simulated ultrasound medical images and very good accuracy is achieved.",
keywords = "Contour extraction, Monte Carlo methods, Particle Filter, Ultrasound images",
author = "Donka Angelova and Lyudmila Mihaylova",
note = "IEEE Catalog Number: CFP09FUS-CDR ISBN: 978-0-9824438-0-4; 12th International Conference on Information Fusion ; Conference date: 06-07-2009 Through 09-07-2009",
year = "2009",
month = jul,
day = "7",
language = "English",
isbn = "978-0-9824-4380-4",
pages = "284--291",
booktitle = "12th International Conference on Information Fusion, 2009. FUSION '09.",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Contour extraction from ultrasound images viewed as a tracking problem.

AU - Angelova, Donka

AU - Mihaylova, Lyudmila

N1 - IEEE Catalog Number: CFP09FUS-CDR ISBN: 978-0-9824438-0-4

PY - 2009/7/7

Y1 - 2009/7/7

N2 - This paper focuses on the problem of contour extraction in medical images and shows that this segmentation task can be viewed as a tracking problem. The influence of the speckle noise and of the high nonlinearities is overcome by Monte Carlo methods. An efficient multiple model Monte Carlo algorithm for progressive contour growing (tracking) is developed, accounting for convex, non-circular forms of delineated contour areas. The driving idea of the proposed filter consists in the incorporation of different image intensity inside and outside the contour into the filter likelihood. A PDA procedure using the contour edge mag- nitude is applied to cope with the measurement origin uncertainty. The filter performance is studied by ex- tracting contours from a number of real and simulated ultrasound medical images and very good accuracy is achieved.

AB - This paper focuses on the problem of contour extraction in medical images and shows that this segmentation task can be viewed as a tracking problem. The influence of the speckle noise and of the high nonlinearities is overcome by Monte Carlo methods. An efficient multiple model Monte Carlo algorithm for progressive contour growing (tracking) is developed, accounting for convex, non-circular forms of delineated contour areas. The driving idea of the proposed filter consists in the incorporation of different image intensity inside and outside the contour into the filter likelihood. A PDA procedure using the contour edge mag- nitude is applied to cope with the measurement origin uncertainty. The filter performance is studied by ex- tracting contours from a number of real and simulated ultrasound medical images and very good accuracy is achieved.

KW - Contour extraction

KW - Monte Carlo methods

KW - Particle Filter

KW - Ultrasound images

M3 - Conference contribution/Paper

SN - 978-0-9824-4380-4

SP - 284

EP - 291

BT - 12th International Conference on Information Fusion, 2009. FUSION '09.

PB - IEEE

T2 - 12th International Conference on Information Fusion

Y2 - 6 July 2009 through 9 July 2009

ER -