MSc Medical Visualisation & Human Anatomy School of Innovation & Technology

Sujin Kang

(She/Her)

Hello! I’m Sujin Kang, and I hold a Bachelor’s degree in Visual Communication Design from Yonsei University in South Korea. My journey into the world of medical visualisation began unexpectedly after experiencing vasovagal syncope. This opened my eyes to how challenging it can be for non-medical individuals to understand complex medical information. It was this realisation that fueled my passion for becoming a medical illustrator / animator / VR developer.

With medical technology advancing rapidly and an increasing focus on health, I chose to further my studies in this course, MSc Medical Visualisation and Human Anatomy, at the Glasgow School of Art and the University of Glasgow. I hope to bridge the gap between medical professionals, trainees and patients with my projects, much like a translator, ensuring that vital medical information is accessible and understandable to all!

Contact
kangye43@gmail.com
S.Kang1@student.gsa.ac.uk
LinkedIn Profile
Projects
VR Training for TA Implant Techniques: Fenestrated TREO
DentuLearn
Volumetric Visualisation
3D Modelling

Collaborative Work
DentuLearn

VR Training for TA Implant Techniques: Fenestrated TREO

This study explores the use of Virtual Reality (VR) to address the training challenges associated with the Fenestrated Endovascular Aortic Repair (FEVAR) procedure, specifically using the Fenestrated TREO device. FEVAR is a complex surgical technique for treating abdominal aortic aneurysms (AAA) in patients who are not suitable for traditional endovascular repair. Due to the complexity of the procedure and the scarcity of prototype devices for hands-on practice, there is a significant need for effective training tools. The research aimed to develop a VR simulation that offers an immersive and user-friendly environment for clinicians and Terumo Aortic associates to practice the essential deployment techniques involved in FEVAR.

The VR simulation was designed to replicate the FEVAR procedure, incorporating detailed 3D models and interactive elements to enhance the learning experience. User testing was conducted to evaluate the simulation’s usability, sense of presence, and content validity. The results were promising, with the simulation scoring 81.1 on the System Usability Scale (SUS) and showing strong performance in spatial presence, engagement, and ecological validity, while minimizing negative effects such as discomfort. These outcomes suggest that the VR simulation is an effective tool for improving procedural learning and providing a valuable training experience.

The study concludes that VR has significant potential to bridge the gap between theoretical knowledge and practical application in complex medical procedures like FEVAR. While the VR simulation successfully met its objectives, the researchers recommend further enhancements to increase the realism and complexity of the simulation, thereby improving its educational value. Future research should focus on refining the simulation to better mimic real-life scenarios and integrating high-fidelity interactions to enhance the learning outcomes for clinicians.

Presentation for the Fenestrated TREO VR Simulation

Screen recording inside the VR headset

User Interface

Two screens are provided. Screen 1 display the step by step instructions to guide the user through the procedure; whereas screen 2 provides the user with a closer point of view of the surgical site.

Render Texture Camera

Screen 2 shows the closer viewpoint of the abdominal area, while the procedure happens simultaneously within the patient body

DentuLearn

Dental caries and calculus application (WebGL, collaborative work)

Volumetric Visualisation

3D Modelling

Modelling of the rib cage, manubrium, sternum, xiphoid, vertebrae T1 – 12 and lungs.

DentuLearn

DentuLearn was a group collaborative project that created with purpose of oral health education. This app shows how pH level of saliva and food deposit might contributes to different cause in oral health. It is a WebGL-based application that created in collaboration with Sujin Kang, Liou Song, and Bofei Chen.

DentuLearn Demo Video