Post-Surgery Glioma Growth Modeling from Magnetic Resonance Images for Patients with Treatment

Abstract

Reaction diffusion is the most common growth modelling methodology due to its simplicity and consistency with the biological tumor growth process. However, current extensions of the reaction diffusion model lack one or more of the following: efficient inclusion of treatments' effects, taking into account the viscoelasticity of brain tissues, and guaranteed… (More)
DOI: 10.1038/s41598-017-01189-2

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Cite this paper

@inproceedings{Elazab2017PostSurgeryGG, title={Post-Surgery Glioma Growth Modeling from Magnetic Resonance Images for Patients with Treatment}, author={Ahmed Elazab and Hongmin Bai and Yousry M Abdulazeem and Talaat Abdelhamid and Sijie Zhou and Kelvin K. L. Wong and Qingmao Hu}, booktitle={Scientific reports}, year={2017} }