WebVR Medical software that will change MRI scans


by Gabriela Georgieva

All good things come to an end, so does the summer WebVR Incubator program we have been hosting for the last three months in our office. Witnessing the growth of the teams and how their ideas developed into real business plans was a dynamic and rewarding journey. When we started the project, we knew that WebVR has the potential to change many industries but we could not fully grasp how empowering this new technology would be for small teams with little technology experience. Today, present the last team of the WebVR Incubator – VRBrain, a young team building a WebVR medical software with the goal to reduce the percentage of diagnostics mistakes in MRI scan readings to 5%.

Medical VR

Medical VR is an area of great innovation and research. Doctors are already using VR simulations for training purposes, while patients are fighting anxiety and traumatic experiences with its help. A field in which VR has the potential to greatly improve is the field of diagnostics. Researches show that up to 35% of the MRI scan diagnosis turn out to be inaccurate, thus endangering patients’ lives. VRBrain believes that they can significantly reduce the percentage by providing the doctors with a better visualization of the scanned area. They are working on a medical software that will stitch the black and white 2D images into a 3D colored model. The long term goal is to minimize the percentage of mistakes by developing an AI that will use collected data from thousands of patients to detect early stages of diseases invisible to the human eye.

VRBrain Team

VRBrain consists of Peter Peev and Plamen Minev – software engineering university students and Philip Yankov – the team’s main technology advisor. Prior to joining the incubator, the team was looking for a fast way to develop the first proof of concept which would help them get feedback from medical institutions. They had a limited experience with 3D graphics, so game engines such as Unity3D and Unreal Engine seemed to be inappropriate technology that would slow down the development. Once they learned about WebVR, it seemed to be exactly what they have been looking for. They could develop the demo fast by using high-level frameworks such as A-frame and then move to other low-level libraries such as three.js and WebGL.

Learn more about VRBrain and the WebVR medical software they are building.

WebVR medical software

Team Interview

What do you think about WebVR as a technology?

Peter Peev: In the past, everyone used to be hyped about computers. After that came the smartphones And now is the time of VR. WebVR as a technology is very easy to work with, so it has the potential to be the next big thing.

Do you have any previous practice developing for VR?

Peter Peev: I have basic experience with VR – just some virtual worlds in Unity.

Plamen Minev: No, it’s my first VR project.

How did you decide to develop for VR?

Plamen Minev: We’ve read a lot about VR in the past year. We decided that the technology will develop in the future and we can rely on it for the project.

Why did you choose to develop for WebVR?

Peter Peev: We chose WebVR because in comparison to the Unity built VR it is easier to develop with.

Tell us more about your current project with WebVR.

Peter Peev: Our current project is a WebVR medical software. We want to take MRI (Magnetic resonance imaging) scans,2D images, scans and combine them into a 3D model. Then we will color the tisues so it will be easier for the doctors to identify potential problems in early stages.

WebVR medical software

What is your vision for the future development of WebVR medical software you are building in the next few months?

Peter Peev: In the next few months, we want to create a working prototype of 3D models, get a deep understanding of the industry, and look for funding. We understand that what we are trying to achieve is massive and that we cannot do it alone. We need to hire more specialists to help us successfully develop the project.

How about in ten years time?

Peter Peev: Our long term goal is to create an AI that will make assumptions based on the already collected data and would be able to detect symptoms invisible to the human eye.

What was your incentive to join?

Plamen Minev: We wanted to meet people who are working with the same technology so we could share ideas and learn from each other. LensVR and their WebVR Incubator turned out to be a good starting point.

Define WebVR in one word.

Peter Peev: Easy.

Plamen Minev: Future.

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