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Abstract #1749

Tumor Growth with Anisotropic Diffusion

Sorensen A, Kumar A
Martinos Center for Biomedical Imaging

Growth of brain tumors such as gliomas may be modulated by anisotropic brain structures. A computational and mathematical method to simulate the growth of tumor fronts using a Hamilton-Jacobi equation for moving fronts derived from a reaction-diffusion model and Level-Set methods is proposed. Tumor fronts are evolved computationally from the tumor outlines (obtained from contrast enhanced T1 images) using DTI diffusion tensor data. Evolution of tumors driven by full diffusion tensor creates more complex shapes and tends to follow the white-matter fibers much more than a simple isotropic evolution based on trace ADC.