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Acceleration of Genetic Algorithm With Parallel Processing With Application in Medical Image Registration

Tags:
parallel processing

Overview Generally, image registration using genetic algorithm is a time-consuming process since the algorithm needs to evaluate the objective function several hundred times depending on the vastness of search space. The situation appears worse if the registration is intensity-based due to the interpolation loops prior to each objective function. However, with the availability of parallel processing method, one can accelerate the application of genetic algorithm for iterative-based image registration process of up 80 % for multi-modality alignment.

Further White Paper Details
Publisher	King Mongkut's Institute of Technology Ladkrabang	File Format	PDF
Date Published	February 2005
Format	White Papers
Topics	Parallel Processing, Software Engineering

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