Introduction to modelling
Model is an explicit realization of one hypothesis about how nature works.
Model permits quantitative predictions of how the system will respond to a particular experimental protocol. If this particular hypothesis is true, the system actually responds in experiments as predicted by the model.
Role of modelling and simulation in scientific method (Phair, 1997):
In PET the mathematical models describe the dynamic behaviour of the tracer in terms of mathematical representations.
Steps in PET modelling
Huang & Phelps, 1986.
Carson RE (2005: Tracer Kinetic Modeling in PET. In: Positron Emission Tomography. (Eds: Bailey DL, Townsend DW, Valk PE, Maisey MN) Springer, London, 127-159.
Huang SC, Phelps ME (1986): Principles of tracer kinetic modeling in positron emission tomography and autoradiography. In: Positron Emission Tomography and Autoradiography: Principles and Applications for the Brain and Heart. (Eds: Phelps,M; Mazziotta,J; Schelbert,H) Raven Press, New York, 287-346.
Garfinkel D. Computer modeling, complex biological systems, and their simplifications. Am J Physiol. 1980; 239: R1-R6.
Gunawardena J. Models in biology: ‘accurate descriptions of our pathetic thinking’. BMC Biology 2014; 12:29.
Phair RD. Development of kinetic models in the nonlinear world of molecular cell biology. Metabolism 1997; 46:1489-1495.
Fathinul Fikri Ahmad Saad (2013). Molecular Imaging, Selected Topics on Computed Tomography, Prof. Dongqing Wang (Ed.), ISBN: 978-953-51-1102-3, InTech, DOI: 10.5772/55907. Available from: http://www.intechopen.com/books/selected-topics-on-computed-tomography/molecular-imaging
Created at: 2011-11-22
Updated at: 2015-09-09
Written by: Vesa Oikonen