A non-rigid multimodal image registration method based on particle filter and optical flow

  • Authors:
  • Edgar Arce-Santana;Daniel U. Campos-Delgado;Alfonso Alba

  • Affiliations:
  • Facultad de Ciencias, Universidad Autónoma de San Luis Potosí, San Luis Potosí, SLP, México;Facultad de Ciencias, Universidad Autónoma de San Luis Potosí, San Luis Potosí, SLP, México;Facultad de Ciencias, Universidad Autónoma de San Luis Potosí, San Luis Potosí, SLP, México

  • Venue:
  • ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
  • Year:
  • 2010

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Abstract

Image Registration is a central task to many medical image analysis applications. In this paper, we present a novel iterative algorithm composed of two main steps: a global affine image registration based on particle filter, and a local refinement obtained from a linear optical flow approximation. The key idea is to iteratively apply these simple and robust steps to efficiently solve complex non-rigid multimodal or unimodal image registrations. Finally, we present a set of evaluation experiments demonstrating the accuracy and applicability of the method to medical images.