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University of Glasgow

Biomedical Visualization

University of Glasgow via Coursera

Overview

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Visualization is a rapidly progressive specialty in academia, research and industry, and becoming the future of science. With the advancement of digital technologies and their applications, biomedical visualization is an evolving and popular field. With new techniques and technologies to image, process and analyze data related to the human body, and its biological processes, it is at the forefront of the digital revolution. Why not view our course trailer video. Copy and paste this link into your browser https://youtu.be/vB_QcIVSiTs By the end of this course, you will be able to: 1. Create accurate, ethical biomedical visuals using modern digital tools and evidence based design. 2. Use advanced 3D modeling and imaging skills to build clear, anatomically accurate visuals for education and practice. 3. Evaluate and apply accessibility, inclusivity, and communication principles to design biomedical media for diverse users. 4. Develop a professional portfolio showing technical skill, reflective practice, and adherence to biomedical visualization standards. This course is the first of its kind on Coursera. It explores the structure and function of the human body including terminology used. It showcases visualization techniques available using technology to image and display data related to the body and biological processes. It also provides training in the creation of animations, and examines the applicability of different types of reality. You will learn from experts in these fields and with the knowledge you will gain from this course, be able to evaluate and apply how best to use visualization in your own discipline. No prior experience is necessary but should be able to learn at an intermediate level.

Syllabus

  • Introduction to Visualization and the Human Body
    • Module 1 will cover introductory material of visualization and its applications, as well as exploring the basis of human anatomy. You will learn about a historical journey of "visualization" to the present day advances and uses with biomedical science. Exploring the human body, you will learn its structure and function; the body systems and their roles; as well as learning frequently used terminology within anatomy. Examples of visualization techniques will be covered, and as a learner you will be able to name examples as and evaluate their advantages and disadvantages.
  • 3D Models and Animation
    • Module 2 will give you an introductory lesson into 3D modeling software "Blender" and modeling terminology. By completion you will be able to create your own organic 3D models and animations using Blender. You will be briefly introduced to modeling and its vast variety of uses within Biomedical Science. The theory and process of segmentation from patient imaging data will be explored as another option to obtain realistic 3D models.
  • Virtual Reality and Augmented Reality
    • Module 3 will introduce virtual (VR) and augmented reality (AR). The history and background of virtual reality will be explored, and how augmented reality rose in popularity within this field as well. This week will allow you as a learner to hear interviews with VR and AR experts. They will discuss their research, theory and some of the applications of this technology in biomedical science. The wide variety of applications will be taught, and why it has become such a popular tool in research, teaching and in other areas.
  • Extended Reality: The Realities and The Future
    • Module 4 is the concluding module for Biomedical Visualization. New theory that will be introduced are Mixed and 'Extended reality' as a whole, and what could potentially come of the realities in the future. This week is for the learner to reflect on what they have learned throughout this course. When to best use visualization techniques; their advantages and disadvantages; and how you could use what you have learned throughout the course for future projects in your area of interest.

Taught by

Paul Rea and Amy Webster

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4.6 rating at Coursera based on 533 ratings

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