A comparative study of two meta-heuristic algorithms for MRI and CT images registration
Hedifa Dida, Fella Charif, Abderrazak Benchabane · 2020
Modern meta-heuristics algorithms have achieved great success on medical image registration task. Due to the difference in performance of these algorithms, we present a comparative study of particle swarm optimization (PSO) and the grey wolf optimizer (GWO) for registration of a section of the human brain. The human brain recognition use using the two methods Magnetic Resonance (MR) and Computed Tomography (CT). The simulation results show that the grey wolf optimizer algorithm approaches achieve a robust registration and high precision compared to that of particle swarm optimization.