iFiber: A brain tract visualizer for Android devices

The advance of device technology has allowed the existence of many accessible powerful devices which can be taken anywhere. Large datasets, for example those generated from neuroimaging analyses, can now be displayed in portable devices, facilitating the access to the information for a quick and easy exchange of views for the scientific community. At the same time, those applications offer a unique opportunity for extending these features and knowledge to the community. In this work we present a tool that enables the visualization of brain tractography data, representing the structure of brain white matter fibers in 3D, on Android devices. The application was implemented in JAVA, including different functionalities for interactive data manipulation, such as rotation, resizing, illumination parameter modification and bundle selection. We tested the performance of our application in four mobile devices. Results show an excellent performance for small and medium size tractography datasets, with an average of 60 fps for 6,600 fibers, and an acceptable performance for large datasets, with 15 fps for 88,800 fibers.