Abstract
In this chapter, we propose to use a dynamic optimization algorithm to assess the deformations of the wall of the third cerebral ventricle in the case of a brain cine-MR imaging. In this method, an elastic registration process is applied to a 2D+t cine-MRI sequence of a region of interest (i.e. lamina terminalis). This registration process consists in optimizing an objective function that can be considered as dynamic. Thus, a dynamic optimization algorithm based on multiple local searches, 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 efficiency of MLSDO, and the relevance of using a dynamic optimization algorithm to solve this kind of problems.
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Lepagnot, J., Nakib, A., Oulhadj, H., Siarry, P. (2013). Elastic Registration of Brain Cine-MRI Sequences Using MLSDO Dynamic Optimization Algorithm. In: Alba, E., Nakib, A., Siarry, P. (eds) Metaheuristics for Dynamic Optimization. Studies in Computational Intelligence, vol 433. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30665-5_10
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DOI: https://doi.org/10.1007/978-3-642-30665-5_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30664-8
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