Real-time Motion Modeling in Carbon Ion Therapy

This technical report presents a feasibility study on a real-time motion-adaptive framework designed for carbon ion therapy, focusing on the challenges posed by irregular motion during treatment. The framework integrates motion modeling and treatment verification into the dose delivery and monitoring systems, allowing for continuous assessment of the delivered 4D-dose. It utilizes a GPU-based analytical algorithm for real-time dose reconstruction, interfacing with the Centro Nazionale di Adroterapia Oncologica's (CNAO) systems. The study details the validation of this framework using a geometric target and a 4D lung tumor phantom, demonstrating its capability to generate real-time CT images and perform accurate dose reconstructions. The results indicate a high gamma-index passing rate, confirming the effectiveness of the motion model and treatment verification system. This work represents a significant advancement in the integration of motion management and adaptive therapy in clinical settings, aiming to enhance treatment accuracy and patient outcomes.