A GA Guided K-Space Sampling for Compressed Sensing MRI

Keywords

ability accelerated according achieve achieved adjusted ameliorate apple applied applying assigned basis better binary blue brain chart chosen chromosome clarity close compressed compressible computationally conditions configure considering council crossover demanding density details determine distribute distributed distribution employing encoded evaluate even experimental exploit explored extent fact finished fitness fixed flow form framed freedom frequency function functions generated genetic grid gridded grids guided idea ideally illustrates implemented improve incoherence incoherent individually initial investigate iteration iterative linear localized look maintaining manner many matrix maximized mimic mutation next noise object optimal optimized parallel pattern patterns peak performance plot plots plotted population potentials practical problem procedure process proposed quality random randomly real reality reconstructed reconstruction redistribute reduce reduced reduction redundancy regard requirements resolutions respectively sampling scenarios scheme search selection sensing sharper simplified solution solutions space sparse sparsity still studies style support survive synthesized system termination tiled transform transparency treating validation variable variables variants various view weightings