Pervasive Computing Paradigms for Mental Health. Selected Papers from MindCare 2016, Fabulous 2016, and IIoT 2015

Research Article

Numerical Modeling of Drug Delivery in Organs: From CT Scans to FE Model

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  • @INPROCEEDINGS{10.1007/978-3-319-74935-8_12,
        author={Miljan Milosevic and Vladimir Simic and Milos Kojic},
        title={Numerical Modeling of Drug Delivery in Organs: From CT Scans to FE Model},
        proceedings={Pervasive Computing Paradigms for Mental Health. Selected Papers from MindCare 2016, Fabulous 2016, and IIoT 2015},
        proceedings_a={MINDCARE \& IIOT \& FABULOUS},
        year={2018},
        month={3},
        keywords={Segmentation Skeletonization Finite element method Pipe finite element Pancreas model Liver model},
        doi={10.1007/978-3-319-74935-8_12}
    }
    
  • Miljan Milosevic
    Vladimir Simic
    Milos Kojic
    Year: 2018
    Numerical Modeling of Drug Delivery in Organs: From CT Scans to FE Model
    MINDCARE & IIOT & FABULOUS
    Springer
    DOI: 10.1007/978-3-319-74935-8_12
Miljan Milosevic1,*, Vladimir Simic1,*, Milos Kojic,*
  • 1: Bioengineering Research and Development Center, BioIRC Kragujevac
*Contact email: miljan.m@kg.ac.rs, vladimir.simic.991@gmail.com, mkojic42@gmail.com

Abstract

Mass transport within an organ is complex process which occurs through two different domains: networks of blood vessels and surrounding tissue. Consequently, development of a comprehensive transport model remains a challenge. In this paper we showed an application of a recently introduced multi-scale transport model [1, 2], where larger vessels are modeled by simple 1D finite elements. This model couples convective and diffusive transport within complex system consisted of capillaries and tissue, where connection between these fluid (capillaries) and solid (tissue) domains is accomplished by using fictitious 1D elements. In order to apply the developed model, a reconstruction procedure, consisted of: segmentation, skeletonization using augmented FMM method, and diameter recognition within indoor software, is processed. At the end, numerical simulations are performed in order to get the pressure and concentration distribution in the vessel network and surrounding tissue, showed by examples presented in the paper.