Abstract
Registration of medical image data of different modalities and multiple times is an important component of medical image analysis. A variety of robust and accurate voxel-based approaches have been proposed, and mathematically almost all of them are associated with optimization problems that are highly non-linear and non-convex. This article presents a parallel genetic strategy to attack mutual information based registration. The experimental results show robust registration with high speedup achieved. Furthermore, this method is readily applicable for other voxel-based registration methods.
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Fan, Y., Jiang, T., Evans, D.J. (2002). Medical Image Registration Using Parallel Genetic Algorithms. In: Cagnoni, S., Gottlieb, J., Hart, E., Middendorf, M., Raidl, G.R. (eds) Applications of Evolutionary Computing. EvoWorkshops 2002. Lecture Notes in Computer Science, vol 2279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46004-7_30
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DOI: https://doi.org/10.1007/3-540-46004-7_30
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