154
Bioinformatics of the Brain
FIGURE 5.7
Tumor growth simulation using R3 with different diffusion methods.
5.7
Conclusion
This chapter focuses on spatio-temporal simulation of primary Glioma growth
as it is difficult to predict metastatic Glioma starting locations. Glioma growth
simulation has been accomplished using RDE with different methods in both
Diffusion part and Reaction part. Five different diffusion methods in addi-
tion to three reaction equations have been used to simulate Spatio-Temporal
state of Glioma growth. The rate and space of growth varies according to the
used methods. Brain tumor development simulator modeling will be helpful
to predict a patient’s life expectancy, project the impact of brain damage on
perception and attitude in the future, and assess the effectiveness of current
treatments.
Bibliography
[1] A. Parent, Carpenter’s Human Neuroanatomy. 1996.
[2] S. Standring, Gray’s Anatomy: The Anatomical Basis of Clinical Practice.
2015.
[3] M. Kemp, “Style and non‐style in anatomical illustration: From renais-
sance humanism to henry gray,” Journal of Anatomy, vol. 216, 2010.