Contour determination in ultrasound medical images using interacting multiple model probabilistic data association filter

  • Authors:

  • Pavlina Konstantinova;Dan Adam;Donka Angelova;Vera Behar

  • Affiliations:

  • Institute for Parallel Processing, Bulgarian Academy of Sciences, Sofia, Bulgaria;Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel;Institute for Parallel Processing, Bulgarian Academy of Sciences, Sofia, Bulgaria;Institute for Parallel Processing, Bulgarian Academy of Sciences, Sofia, Bulgaria

  • Venue:
  • NMA'06 Proceedings of the 6th international conference on Numerical methods and applications
  • Year:
  • 2006

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Abstract

The Probabilistic Data Association Filter (PDAF) with Interacting Multiple Model (IMM) approach is applied for contour determination in ultrasound images. The contour of interest is assumed to be a target trajectory which is tracked using IMMPDA filtering. The target movement is assumed to be along a circle and controlled by equally spaced radii from an arbitrary seed point inside the assumed contour. The generalized scores of the candidate points along current radius are determined on the base of two components - the Gaussian probability density function, associated with the assignment of the current point to the trajectory and the edge magnitude. A method for modeling complex contours with known true positions and method for error evaluation are proposed. These methods are used to generate Field II images and to estimate errors of contour determination using IMMPDA algorithm incorporating edge magnitude.