Multiscale modelling of hematologic disorders View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Dmitry Fedosov , Igor Pivkin , Wenxiao Pan , Ming Dao , Bruce Caswell , George E. Karniadakis

ABSTRACT

Parasitic infectious diseases and other hereditary hematologic disorders are often associated with major changes in the shape and viscoelastic properties of red blood cells (RBCs). Such changes can disrupt blood flow and even brain per-fusion, as in the case of cerebral malaria. Modelling of these hematologic disorders requires a seamless multiscale approach, where blood cells and blood flow in the entire arterial tree are represented accurately using physiologically consistent parameters. In this chapter, we present a computational methodology based on dissipative particle dynamics (DPD) which models RBCs as well as whole blood in health and disease. DPD is a Lagrangian method that can be derived from systematic coarse-graining of molecular dynamics but can scale efficiently up to small arteries and can also be used to model RBCs down to spectrin level. To this end, we present two complementary mathematical models for RBCs and describe a systematic procedure on extracting the relevant input parameters from optical tweezers and microfluidic experiments for single RBCs. We then use these validated RBC models to predict the behaviour of whole healthy blood and compare with experimental results. The same procedure is applied to modelling malaria, and results for infected single RBCs and whole blood are presented. More... »

PAGES

289-331

References to SciGraph publications

Book

TITLE

Modeling of Physiological Flows

ISBN

978-88-470-1934-8
978-88-470-1935-5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-88-470-1935-5_10

DOI

http://dx.doi.org/10.1007/978-88-470-1935-5_10

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037543148


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