Computational Models in Biomedical Engineering: A Novel Approach

Computational Models in Biomedical Engineering: Finite Element Models Based on Smeared Physical Fields: Theory, Solutions, and Software, authored by Milos Kojic, presents a groundbreaking methodology in computational biomedicine. This innovative approach, known as the Kojic Transport Model (KTM), leverages the finite element method to simulate various physical fields within biological systems.

The Smeared Physical Field Concept

The KTM methodology is based on the concept of smeared physical fields, where a composite smeared finite element (CSFE) is used to represent different fields, such as drug concentration or electrical potential, within a composite medium like tissue. This composite medium encompasses various components, including the capillary and lymphatic system, different cell groups, and organelles, each with its own set of governing laws and material parameters.

Connectivity Elements and Biological Barriers

A key feature of the KTM is the use of connectivity elements to couple the continuum fields at each finite element node. These connectivity elements account for biological barriers, such as vessel walls and cells, which play a crucial role in the overall behavior of the system.

Applications in Tissue, Heart, and Lung Modeling

The KTM methodology is illustrated through various applications, including the modeling of tissue, heart, and lung systems. These examples demonstrate the versatility and effectiveness of the KTM in simulating complex physical field problems and the mechanics of biological systems.

Future Enhancements and Developments

The KTM provides a solid foundation for further enhancements by incorporating additional phenomena, which can be described by theoretical or experimentally observed relationships in laboratories and clinics. This continuous development ensures that the methodology remains at the forefront of computational biomedicine.

Computational Models in Biomedical Engineering offers a comprehensive guide to the KTM methodology, providing researchers and practitioners with a powerful tool for advancing our understanding of complex biological systems.