A computer based model for lung cancer analysis

In this paper, we have presented an innovative methodology to convey connection between physical and mechanical properties of lung tissue in some lung cancer diseases. It is proposed in this method to combine computed tomography (CT) medical images, image processing and Finite Element (FE) technique to grasp the patient lung tissue response under gradual stages of lung cancer. Finite Element models based on lung CT images of different patients are used to analyse the real behaviour of lung tissue and detect the difference between mechanical parameters in both normal and pathologic cases. Results show that normal lungs display distinct superiority in strength, and expansion properties. It is also notable that we have present new mechanical parameters to clearly describe the evolution of different patient’s lung cancers cases. Investigating lung cancer using such techniques is very promising to enhances data monitoring towards the development of automated diagnosis systems.