Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
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 -