Dynamic Dose Optimization with Multi-Objective PSO for Personalized Radiation Therapy

This paper introduces a dynamic dose optimization approach for lung cancer radiation therapy using Multi-Objective Particle Swarm Optimization (PSO). The system focuses on maximizing tum or coverage while minimizing exposure to healthy tissues, ensuring a personalized and adaptive treatment plan. The PSO heuristic refines the initial dose distribution based on specific anatomical and tumor characteristics. A graphical user interface (GUI) facilitates parameter configuration (e.g., gantry angle, couch angle) and provides three-dimensional (3D) visualizations of dose distribution across axial, coronal, and sagittal planes. Experimental evaluations show the proposed system achieves superior performance in dose optimization, with precision metrics including Dice Similarity Coefficient (0.98 ± 0.01) and Mean Surface Distance (0.050 ± 0.020 mm), outperforming traditional methods.