VIHA
Collaborators
This project was done in collaboration with the Centre of Healthcare Simulation.
Overview
Visualizing human anatomy using VR technology.
Key Problem(s)
Cadavers are an expensive and limited resource. Students have difficulty grasping spatial relationships in anatomy.
Objective
This project aims to help medical students gain a deeper understanding of the intricate relationships between various body structures. Students should be able to manipulate and mobilize joints and muscles, peel back skin and tissue layers and peer into deeper structures without the presence of an actual cadaver. Actions should be reversible and repeatable for better grasp of relationships among various body structures including organs, blood vessels, nerves and bones - an achievement not possible with a real cadaver.
Solution
The Virtual Interactive Human Anatomy (VIHA) is an advanced visualization tool allowing medical students to comprehend complex features and concepts in the study of Human Anatomy in an immersive and interactive Virtual Reality (VR) environment.
Immersive Visualization Technology with Full-body Movement Room Setup
- Medical students are equipped with VR headsets and 360-degree controllers as they explore a 3D anatomical world that uses directional audio and HD haptic feedback to create an immersive learning experience
- Dedicated room-scale play areas are set up for learners to move around unhindered as they view up-close realistic human models and parts like organs, blood vessels, nerves, spaces, cavities etc.
Interactive Content & Self-directed Learning Techniques
- Lesson content is specially designed with playback interaction to complement the VR experience ensuring every medical student is able to learn at their own pace
- Interactive and engaging activities are added to help reinforce medical students’ understanding of anatomical and physiological concepts. Such activities include drag & drop models to reconstruct different body parts using intuitive controls that mimic gestures of the hand picking an object in the VR space
We believe that VIHA overcomes existing challenges in learning Human Anatomy by cementing 3-D spatial orientation and visualization of anatomical structures. VIHA has been designed to encompass high quality precise 3D models that reinforce intricate anatomical interactions, relationships and clinical pathological conditions.
Deployment and Usage
VIHA has been incorporated into the existing Human Anatomy curriculum at the Yong Loo Lin School of Medicine, National University of Singapore (NUS) since 2018. VIHA has also been showcased at the following locations:
- Augmented Human Conference 2015
- Innovfest Unbound 2017
- Global Chinese Design Conference 2017
- ACM CHI 2017
- APMEC 2018
- Healthcare Innovation 2018
- Innovfest Unbound 2018
Impact
Data collected from pre and post tests demonstrate that most medical students showed significant improvement in their understanding of anatomical structures and relationships after taking the VIHA modules compared to their seniors who did not take the VIHA modules. There was also an overall increase in the engagement factor as the majority of the medical students agreed that the ability to visualize Anatomy in the 3D space played a crucial role in their learning process.
Parts of the VIHA platform data have been applied to design other learning-aids for clinical practices such as dental simulation, eye surgery simulation, etc.
Publications and Press
Demos:
Media Mentions:
- [8world.com] 国大杨潞龄医学院采用虚拟科技 助学生加深对人体组织结构认识
- [Lianhe Zaobao] 国大300万元研发新平台让学生以虚拟实境学解剖
- [NUS News] Virtual anatomy system brings benefits
- [The Straits Times] VR system helps in study of human anatomy
- [VR Focus] NUS Medicine Using Virtual Reality To Replace The Need For Cadaver
- [Federal Telemedicine News] Virtual Learning for Med Students
Project Contact
Teo Chor Guan
idmtcg at nus.edu.sg
Team Members
Dominic Chai
Daniel Low
Sean Chng Choon Ern
Lin Yibin
Marcus
Sim Yong Jie
Lee Chun Kit
Yeo Jing Ying
Mandi Lee
Yong Lin
Alfred
Teong Leong
Tung
Frieda
Hanjie
Gan Juwe
Yong Sheng
Tan Er Jue