The invention discloses a choroidal neovascularization growth protection method combining a constitutive model with a finite element. The method comprises the steps of image preprocessing; area division and partition, specifically including dividing an image into four areas consisting of a CNV area, an outer retina layer, an inner retina layer and a choroids layer; meshing, specifically including performing tetrahedral mesh generation on the four areas; modeling, specifically including modeling by using a hyperelastic biomechanical model and a reaction diffusion equation, and adding quality variation after choroidal neovascularization grows into an equation as a source item, thus causing a deformation gradient tensor to continuously change according to the growth of the new vessel; optimizing the model, computing the best accuracy rate, and performing parameter test; and fitting a parameter curve according to a parameter predicted at each time point, and predicting the growth parameter of the last time point to acquire a prediction result. According to the method provided by the invention, the biomechanical model can be built in a more flexible and personalized mode, the model assumes that organization is orthotropic, the good prediction results can be provided for non-linear large-deformation areas, and the accuracy is high.