BML774
| BML774 | |
|---|---|
| Soft Tissue Characterization and Applications | |
| Credits | 4 |
| Structure | 3-0-2 |
| Pre-requisites | APL100 for B.Tech students of all departments |
| Overlaps | |
BML774 : Soft Tissue Characterization and Applications
[edit]Introduction to soft tissues. Review of major tissues and properties (skin, muscles, connectives tissues). Study of anatomy and biomechanical properties of tissues in all functional organs (e.g., brain, lungs, heart). Blood vessels, and extremities. Biochemical testing methods: In vivo and in vitro. Test protocol for soft tissue testing. Linear and non-linear mechanical properties. Effect of specimen size, varying strain rates, and loading orientation. Mechanical testing with cadaveric tissues and soft tissue simulants. Finite element modelling of soft tissues. Study of digital image correlation (DIC). Hyperelastic constitutive materials models (e.g., Mooney-Rivlin, Ogden). Soft tissue degradation modes. Characterizing tissue weakening (age) and injury. Effect of impact loads. Soft tissue failure criteria, and fracture modes. Effect of wounds on soft tissues properties. Soft tissue biomechanics due to wound healing. Interaction of Soft tissues with interventions and medical devices. Effect of suturing, implantation, Courses of Study 2024-2025 Biomedical Engineering 335penetration, and frictional interactions on soft tissues properties. Project work: comparison of biomechanics properties of soft tissue samples through experiments, material characterization, DIC, and finite element simulations. Computational physiology 3 Credits (2-0-2) The course is a hands-on study of physiological mathematical models through a computing environment. Course will be focused on developing proficiency using mathematics and computation to analyze various biomedical engineering problems. Particular attention will be given to forward models, such as ordinary differential equation-based models drawn from cell and systems' physiological processes. Examples include biochemical reaction networks, cellular homeostasis, glucose-insulin, and respiratory systems. All the skills will be taught in the class.