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-MRI. In this method, a segmentation process is applied to a 2D+t cine-MRI sequence to detect the contours of a region of interest (i.e. lamina terminalis). Then, successive segmented contours are matched using a global alignment procedure, followed by a registration process. This registration process consists in optimizing an objective function that can be considered as a dynamic function. Thus, a dynamic optimization algorithm, called MLSDO, is used to solve the registration problem. The results obtained by MLSDO 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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