While treating the disease using the targeted drug delivery method, the effectiveness of a drug primarily depends on the disease affected area, targeted particles and drug control release of the drug. In this paper, an optimum or near optimum real time targeted drug delivery system is proposed. Targeted path planning algorithm for ferromagnetic nano particles based on particle swarm optimization approach and artificial magnetic field concepts used as virtual MRI (magnetic resonance Imaging) is proposed to solve the obstacle free targeted drug delivery process in a 3d virtual environment. At first stage 3d path planning scheme based on attractive and repulsive artificial potential field for obstacle free path in certain blood vessels is used. Later, an optimization process for all the discovered trajectories by combining particle swarm optimization algorithm is performed to generate an optimal path. Simulation results showed that proposed algorithm has higher success rate in targeting the drugs with a faster convergence rate towards the optimal solution. © Springer-Verlag Berlin Heidelberg 2012.
CITATION STYLE
Hassan, S., & Yoon, J. (2012). Hybrid potential field swarm optimization based novel targeted drug delivery system using drug loaded nano carriers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7507 LNAI, pp. 333–343). https://doi.org/10.1007/978-3-642-33515-0_34
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