AUTHOR=Bernal-Rusiel Jorge L. , Rannou Nicolas , Gollub Randy L. , Pieper Steve , Murphy Shawn , Robertson Richard , Grant Patricia E. , Pienaar Rudolph TITLE=Reusable Client-Side JavaScript Modules for Immersive Web-Based Real-Time Collaborative Neuroimage Visualization JOURNAL=Frontiers in Neuroinformatics VOLUME=Volume 11 - 2017 YEAR=2017 URL=https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2017.00032 DOI=10.3389/fninf.2017.00032 ISSN=1662-5196 ABSTRACT=
In this paper we present a web-based software solution to the problem of implementing real-time collaborative neuroimage visualization. In both clinical and research settings, simple and powerful access to imaging technologies across multiple devices is becoming increasingly useful. Prior technical solutions have used a server-side rendering and push-to-client model wherein only the server has the full image dataset. We propose a rich client solution in which each client has all the data and uses the Google Drive Realtime API for state synchronization. We have developed a small set of reusable client-side object-oriented JavaScript modules that make use of the XTK toolkit, a popular open-source JavaScript library also developed by our team, for the in-browser rendering and visualization of brain image volumes. Efficient realtime communication among the remote instances is achieved by using just a small JSON object, comprising a representation of the XTK image renderers' state, as the Google Drive Realtime collaborative data model. The developed open-source JavaScript modules have already been instantiated in a web-app called