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Boundary based movement correction of functional MR data using a genetic algorithm

This paper describes a novel image registration method for movement correction of fMR time-series. It is important to align the fMR images in the time-series before time-dependent analyses. This registration method aligns the boundaries of brains extracted from the functional images. It uses a genetic algorithm to minimize the distance function obtained from the chamfer distance transform. The global search nature of genetic algorithm makes this method robust to the presence of local