TY - CHAP
T1 - Application of Composite Smeared Finite Element Model in Drug Delivery Inside Organs
AU - Simic, Vladimir
AU - Milosevic, Miljan
AU - Ziemys, Arturas
AU - Kojic, Milos
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - We here implement the smeared field finite element methodology, formulated by the last listed author, which is presented in numerous of recent publications. This methodology enables modeling physical fields in biological systems in a simple way, which otherwise, by detailed representation of each biological constituents (capillaries, cell membranes, cell interior, etc.), would not be practical to use. Here we summarize the basic concept of the smeared modeling by describing briefly formulation of a composite smeared finite element (CSFE). Besides the standard FE representation of continuum fields of molecular transport, 1D transport is included in a continuum form using the appropriate transport tensors. Physical fields are coupled by the connectivity elements at each node, representing transport properties of the walls separating the domains. In this paper, methodology is applied to determine concentration field within liver of a mouse, generated from images, containing a tumor. Also, evolution of drug concentration within tumor is presented, which is important for improvement of cancer therapy.
AB - We here implement the smeared field finite element methodology, formulated by the last listed author, which is presented in numerous of recent publications. This methodology enables modeling physical fields in biological systems in a simple way, which otherwise, by detailed representation of each biological constituents (capillaries, cell membranes, cell interior, etc.), would not be practical to use. Here we summarize the basic concept of the smeared modeling by describing briefly formulation of a composite smeared finite element (CSFE). Besides the standard FE representation of continuum fields of molecular transport, 1D transport is included in a continuum form using the appropriate transport tensors. Physical fields are coupled by the connectivity elements at each node, representing transport properties of the walls separating the domains. In this paper, methodology is applied to determine concentration field within liver of a mouse, generated from images, containing a tumor. Also, evolution of drug concentration within tumor is presented, which is important for improvement of cancer therapy.
UR - http://www.scopus.com/inward/record.url?scp=85179869631&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85179869631&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-43658-2_5
DO - 10.1007/978-3-030-43658-2_5
M3 - Chapter
AN - SCOPUS:85179869631
T3 - Learning and Analytics in Intelligent Systems
SP - 44
EP - 52
BT - Learning and Analytics in Intelligent Systems
PB - Springer Nature
ER -