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Contour extraction from ultrasound images viewed as a tracking problem.

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Publication date7/07/2009
Host publication12th International Conference on Information Fusion, 2009. FUSION '09.
PublisherIEEE
Pages284-291
Number of pages8
ISBN (Print)978-0-9824-4380-4
Original languageEnglish

Conference

Conference12th International Conference on Information Fusion
CitySeattle, USA
Period6/07/099/07/09

Conference

Conference12th International Conference on Information Fusion
CitySeattle, USA
Period6/07/099/07/09

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.

Bibliographic note

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