Physiological and Biomechanical Model of Patient Specific Lung Motion Based on 4D CT Images
Résumé
Prediction of respiratory motion has the potential to
substantially improve cancer radiation therapy. Tumor motion
during irradiation reduces the target coverage and increases
dose to healthy tissues. In this paper, we have developed a
new dynamic biomechanical model of the respiratory system,
permitting the simulation of a complete cycle of respiratory
motion, based on the finite element method (FEM), including
the real boundary conditions of the organs (the diaphragm, the
thorax, mediastinum and skin behaviors) to predict the lung
tumor displacement and deformation. The model is monitored by
two muscles: the diaphragm and the rib kinematics. We validate
our approach with real 4D CT images. The results demonstrate
that the proposed approach is able to predict the respiratory
motion with an average error less than 2.0 mm in the different
lobes.