Envisage The Lung Tumor Evolution In PET-CT Images During Radiotherapy

The proposed technique is capable of estimating lung tumor growth and its effectiveness by applying patient specific model on tumor growth model. That is desirable to predict the lung tumor growth rate so that appropriate treatment can be planned in early stage. The work presents the methodology that consists of three steps: advection, Proliferation, Treatment. The partial differential equation is base of formulating these terms. Using optimization the estimating parameters are modeled from sequence of observed images. Evaluating tumor by enacts 3D optical flow through sequential images. The proposed ADR equation with LBP intensity features are employed to simulate the tumor growth model and define the predicted tumor contours, tumor volumes. The result will indicate a very good ability of the proposed method for estimating model parameters of lung tumor volume and its variations. It shows a satisfying agreement between predicted tumor contours