DIGITAL TWINS in BIOMEDICAL ENGINEERING

AIM

The aim is to introduce and apply numerical methods of modeling and simulations in biomedical systems. The course aims at giving the main methods of applied physics applications of biomedical dynamic systems. The focus is to study methods and applications that are of relevance in biomedical engineering within diagnostic and therapeutic applications as well as for physiological processes and virtual tests.

CONTENT

This course contains; Introduction and general concepts, Overview of the course and, the general insight of modeling and simulation of complex systems,Analogies in Biosystem Modeling and Definition of Multi-Physics Definitions,Partial Differential Equations for Dynamic Systems, Numerical Analysis,Medical Image Analysis, Medikal Görüntü Verisi ile 3B Segmentasyon, Bilgisayar Destekli Tasarım Araçları,ANSYS Design Modeler, ANSYS Meshing Applications,Computational Fluid Dynamics / Nümerical Analysis of Blood Flow,Vascular Device Design, Virtual Operation, and Flow Analysis,Computational Modeling of Musculoskeletal System,Surgical Planning and Simulation, Patient-Specific Implant and Graft Design and Virtual Tests,Applications on Hemodynamic Models,Applications with physiological models,Virtual Device Test Applications,Student Presentations,Student Presentations.

1. 1

   Can visualize biomedical device design and virtual performance tests with numerical methods.

   Taught by: Discussion Method, Demonstration Method, Case Study Method, Question - Answer Technique, Project Based Learning Model, Simulation Technique, Knowledge Map Technique, Problem Baded Learning Model, Lecture Method · Assessed by: Simulation-Based Evaluation

2. 2

   Outline the concepts used in the modeling of complex biomedical systems.

   Taught by: Case Study Method, Self Study Method, Simulation Technique, Computer-Internet Supported Instruction

3. 3

   Defines how numerical solutions can be applied to mathematical models that cannot be resolved analytically and the software tools for them

   Taught by: Demonstration Method, Case Study Method, Problem Baded Learning Model, Computer-Internet Supported Instruction

4. 4

   Translate a dynamic physiological phenomenon into a mathematical set of equations.

   Taught by: Demonstration Method, Problem Solving Method, Self Study Method, Role Play and Drama Technique, Simulation Technique

5. 5

   Can perform fluid dynamics and structural mechanics analysis in biological systems with the finite element method.

   Taught by: Demonstration Method, Project Based Learning Model · Assessed by: Homework, Project Task, Quiz

6. 6

   Simulate three-dimensional differential equations and boundary value problems with finite element analysis.

   Assessed by: Oral Exam, Project Task

WEEKLY PLAN

1. WEEK 1

   Introduction and general concepts, Overview of the course and, the general insight of modeling and simulation of complex systems

2. WEEK 2

   Analogies in Biosystem Modeling and Definition of Multi-Physics Definitions

3. WEEK 3

   Partial Differential Equations for Dynamic Systems, Numerical Analysis

4. WEEK 4

   Medical Image Analysis, Medikal Görüntü Verisi ile 3B Segmentasyon, Bilgisayar Destekli Tasarım Araçları

   Preparation: tudents should have 3D Slicer, FreeCAD, MeshMixer and ANSYS Aim software ready on their devices before the lesson

5. WEEK 5

   ANSYS Design Modeler, ANSYS Meshing Applications

6. WEEK 6

   Computational Fluid Dynamics / Nümerical Analysis of Blood Flow

7. WEEK 7

   Vascular Device Design, Virtual Operation, and Flow Analysis

8. WEEK 8

   Computational Modeling of Musculoskeletal System

9. WEEK 9

   Surgical Planning and Simulation, Patient-Specific Implant and Graft Design and Virtual Tests

10. WEEK 10

    Applications on Hemodynamic Models

11. WEEK 11

    Applications with physiological models

    Preparation: Applications in Lesion Mechanism Models and Comparisons through Data Visualization

12. WEEK 12

    Virtual Device Test Applications

    Preparation: Students should create a Simscale account and access the software on the web

13. WEEK 13

    Student Presentations

14. WEEK 14

    Student Presentations

ASSESSMENT

• Rate of Midterm Exam to Success30%
• Rate of Final Exam to Success70%

READING

• 1- Finite Element Analysis for Biomedical Engineering Applications - 2019 -CRC Press, Z. C. Yang , 2- Numerical Methods in Biomedical Engineering - Stanley Dunn, Alkis Constantinides, Prabhas V. Moghe -Academic Press Elsevier, 3- Quantitative Human Physiology: An Introduction (Biomedical Engineering) 2nd Edition - Joseph J Feher -Academic Press ElsevierSoftware: ANSYS, Slicer3D, Inobitec, Geomagic, FreeCAD, Simscale, Autodesk MeshMixer, Materialise Mimics Student Editio

TEACHING STAFF

• Assist.Prof. Kevser Banu KÖSECOORDINATOR
• Assist.Prof. Kevser Banu KÖSE