Many biological structures like vessels, membrains, etc., at a suitable scale can be modelled as random sets having Hausdorff dimension lower than the relevant space in which they are observed. In particular, angiogenesis (i.e. the formation of blood vessels from an existing one) is a process under intensive study nowadays in Biomedicine, because of its relation with tumor growth. Generalized densities a'' la Dirac-Schwartz have been shown to provide a useful approach for the mathematical description of such processes. Here an introduction to this mathematical approach is provided, together with related statistical techniques, which may provide a quantitative description of the mean geometric characteristics of the studied phenomenon.
Methods of stochastic geometry, and related statistical problems in the analysis and therapy of tumour growth and tumour-driven angiogenesis / V. Capasso, E. Dejana, A. Micheletti (MODELING AND SIMULATION IN SCIENCE, ENGINEERING AND TECHNOLOGY). - In: Selected topics in cancer modelling : genesis, evolution, immune competition, therapy / [a cura di] E. Angelis, M.A.J. Chaplain, N. Bellomo. - Boston : Birkhauser, 2008. - ISBN 9780817647124. - pp. 299-335 [10.1007/978-0-8176-4713-1_12]
Methods of stochastic geometry, and related statistical problems in the analysis and therapy of tumour growth and tumour-driven angiogenesis
V. CapassoPrimo
;E. DejanaSecondo
;A. MichelettiUltimo
2008
Abstract
Many biological structures like vessels, membrains, etc., at a suitable scale can be modelled as random sets having Hausdorff dimension lower than the relevant space in which they are observed. In particular, angiogenesis (i.e. the formation of blood vessels from an existing one) is a process under intensive study nowadays in Biomedicine, because of its relation with tumor growth. Generalized densities a'' la Dirac-Schwartz have been shown to provide a useful approach for the mathematical description of such processes. Here an introduction to this mathematical approach is provided, together with related statistical techniques, which may provide a quantitative description of the mean geometric characteristics of the studied phenomenon.File | Dimensione | Formato | |
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Capasso2008_Chapter_MethodsOfStochasticGeometryAnd.pdf
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