Brain cine-MRI sequences registration using b-spline free-form deformations and MLSDO dynamic optimization algorithm

  • Authors:

  • Julien Lepagnot;Amir Nakib;Hamouche Oulhadj;Patrick Siarry

  • Affiliations:

  • LISSI, EA 3956, Université Paris-Est Créteil (UPEC), Créteil, France;LISSI, EA 3956, Université Paris-Est Créteil (UPEC), Créteil, France;LISSI, EA 3956, Université Paris-Est Créteil (UPEC), Créteil, France;LISSI, EA 3956, Université Paris-Est Créteil (UPEC), Créteil, France

  • Venue:
  • LION'12 Proceedings of the 6th international conference on Learning and Intelligent Optimization
  • Year:
  • 2012

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Abstract

In this paper, a dynamic optimization algorithm is used to assess the deformations of the wall of the third cerebral ventricle in the case of a brain cine-MR imaging. In this method, a nonrigid registration process is applied to a 2D+t cine-MRI sequence of a region of interest. In this paper, we propose to use a B-spline Free-Form deformation model. The registration process consists of optimizing an objective function that can be considered as a dynamic function. Thus, a dynamic optimization algorithm, called MLSDO, is used to accomplish this task. The obtained results are compared to those of several well-known static optimization algorithms. This comparison shows the relevance of using a dynamic optimization algorithm to solve this kind of problems, and the efficiency of MLSDO.