Computational Models in Biomedical Engineering: A Comprehensive Guide

Computational Models in Biomedical Engineering: Finite Element Models Based on Smeared Physical Fields: Theory, Solutions, and Software, authored by Milos Kojic, presents a groundbreaking approach to computational methodologies in biomedicine. This innovative methodology, known as the Kojic Transport Model (KTM), utilizes the finite element method to model complex physical field problems and the mechanics of biological systems.

The KTM methodology is based on the smeared concept within the finite element method, making it simple, straightforward, and easy to use. It enables the modeling of complex physical field problems and the mechanics of biological systems by incorporating various fields, such as drug concentration and electrical potential, into a composite medium like tissue. This composite medium includes the capillary and lymphatic system, different cell groups, and organelles, with each domain participating in the overall model according to their volumetric fractions.

The governing laws and material parameters are assigned to each of the domains, and the continuum fields are coupled at each FE node by connectivity elements. These connectivity elements take into account biological barriers such as vessel walls and cells, providing a comprehensive understanding of the interactions within biological systems.

This book includes chapters devoted to applications surrounding tissue, heart, and lung, illustrating the practical implementation of the KTM methodology. Furthermore, the methodology can serve as a basis for further enhancements by including additional phenomena, which can be described by relevant relationships derived theoretically or experimentally observed in laboratories and clinics.

Computational Models in Biomedical Engineering offers a unique approach to understanding and modeling complex biological systems, making it an essential resource for researchers, engineers, and scientists working in the field of biomedical engineering.

Publication Details:

Author: Milos Kojic

Publisher: Elsevier Science

Publication Date: September 11, 2022

Language: English

ISBN: 9780323884723, 9780323906692