Reaction-diffusion tumour growth models have been proposed to assess glioma invasion beyond the MR visible margins as well as for patient follow-up and radiotherapy planning. However, initial tumour cell density assessment from patient imaging data remains an open problem, limiting the clinical application of the model. In this work, three initialisation methods are proposed and simulations from actual glioblastoma patient imaging data are compared. This work demonstrates the strong dependence of the model in its initial condition and highlights the need to integrate additional MR sequences and modalities for the assessment of a patient-specific tumour cell density profile.
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