Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11630
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dc.rights.licenserestrictedAccess-
dc.contributor.authorFilipovic, Nenad-
dc.contributor.authorIsailovic, Velibor-
dc.contributor.authorMilosevic Z.-
dc.contributor.authorNikolic, Dalibor-
dc.contributor.authorSaveljic I.-
dc.contributor.authorRadović M.-
dc.contributor.authorNikolic, Milica-
dc.contributor.authorAndjelkovic Cirkovic, Bojana-
dc.contributor.authorThemis E.-
dc.contributor.authorFotiadis D.-
dc.contributor.authorPelosi, Gualtiero-
dc.contributor.authorParodi O.-
dc.date.accessioned2021-04-20T18:49:49Z-
dc.date.available2021-04-20T18:49:49Z-
dc.date.issued2017-
dc.identifier.issn1680-0737-
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/11630-
dc.description.abstract© Springer Nature Singapore Pte Ltd. 2017. Computational study for plaque formation and development for the patient specific coronary arteries was performed. Transport of macrophages and oxidized LDL distribution for the initial plaque grow model inside the intimal area was implemented. Mass transport of LDL through the wall and the simplified inflammatory process was firstly solved. The Navier-Stokes equations govern the blood motion in the lumen, the Darcy law is used for model blood filtration, Kedem-Katchalsky equations for the solute and flux exchanges between the lumen and the intima. The system of three additional reaction-diffusion equations that models the inflammatory process and lesion growth model in the intima was used. Some examples of computer simulation for plaque formation and progression for the specific patient for left and right coronary arteries are presented. Determination of plaque location and plaque volume with computer simulation for a specific patient shows a potential benefit for prediction of disease progression.-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.sourceIFMBE Proceedings-
dc.titleComputational modeling of plaque development in the coronary arteries-
dc.typeconferenceObject-
dc.identifier.doi10.1007/978-981-10-4166-2_40-
dc.identifier.scopus2-s2.0-85016034274-
Appears in Collections:Faculty of Engineering, Kragujevac
Institute for Information Technologies, Kragujevac

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