TY - GEN
T1 - Numerical modeling of drug delivery in organs
T2 - International Symposium on Pervasive Computing Paradigms for Mental Health - MindCare,2016
AU - Milosevic, Miljan
AU - Simic, Vladimir
AU - Kojic, Milos
N1 - Funding Information:
Acknowledgments. This work was supported in part by the Houston Methodist Research Institute, Ministry of Education and Science of Serbia, grants OI 174028 and III 41007, and City of Kragujevac.
Publisher Copyright:
© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Finite element method
KW - Liver model
KW - Pancreas model
KW - Pipe finite element
KW - Segmentation
KW - Skeletonization
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U2 - 10.1007/978-3-319-74935-8_12
DO - 10.1007/978-3-319-74935-8_12
M3 - Conference contribution
AN - SCOPUS:85044468061
SN - 9783319749341
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 87
EP - 92
BT - Pervasive Computing Paradigms for Mental Health - Selected Papers from MindCare 2016, Fabulous 2016, and IIoT 2015
A2 - Filipovic, Nenad
A2 - Cipresso, Pietro
A2 - Gavrilovska, Liljana
A2 - Matic, Aleksandar
A2 - Serino, Silvia
A2 - Oliver, Nuria
PB - Springer-Verlag
Y2 - 28 November 2016 through 29 November 2016
ER -