BRAVI (Brain Visualization)

Abstract

Over the years, various techniques developed for Data illustration in a communicable format, facilitated decision makers to visualize and interpret large amount of data in a shorter time. Importance of information and the way to present it in aesthetically appeasing format has been increased tremendously. The basic aim of this thesis is to investigate how complex information could be visualized effectively and its importance to increase the usability of brain simulated data. To optimize clinical trials' of electrical current stimulation, forward computational models of brain current flow are widely used. Thus, graphical user interface (GUI) tool is indispensable to understand these stimulations in detail and to allow users to design montages based on their own clinical experience. The existing web based softwares, no matter how handy they are, have certain connection limits and are limited to number of data sets uploaded. The consequence of too many people accessing data at the same time causes delay in loading data, which in turn affects the overall efficiency. Hence, to create a balance between proficiency and effectiveness, a stand-alone application is deemed necessary. We take BONSAI a real implemented web based application as a case study to get the insights of how visualization could be implemented as state of the art to analyze results of highly complex computational models. In our thesis, we analyzed user requirements and developed a stand-alone Brain visualizer (BRAVI) application on the basis of identified requirements. BRAVI is a very simple and user friendly Graphical User Interface software that allows runtime loading of any data set without any delay and size limit.