Abstract
BackgroundThe visualization and analysis of brain data such as white matter diffusion tractography and magnetic resonance imaging (MRI) volumes is commonly used by neuro-specialist and researchers to help the understanding of brain structure, functionality and connectivity. As mobile devices are widely used among users and their technology shows a continuous improvement in performance, different types of applications have been designed to help users in different work areas.ResultsWe present, ABrainVis, an Android mobile tool that allows users to visualize different types of brain images, such as white matter diffusion tractographies, represented as fibers in 3D, segmented fiber bundles, MRI 3D images as rendered volumes and slices, and meshes. The tool enables users to choose and combine different types of brain imaging data to provide visual anatomical context for specific visualization needs. ABrainVis provides high performance over a wide range of Android devices, including tablets and cell phones using medium and large tractography datasets. Interesting visualizations including brain tumors and arteries, along with fiber, are given as examples of case studies using ABrainVis.ConclusionsThe functionality, flexibility and performance of ABrainVis tool introduce an improvement in user experience enabling neurophysicians and neuroscientists fast visualization of large tractography datasets, as well as the ability to incorporate other brain imaging data such as MRI volumes and meshes, adding anatomical contextual information.
Highlights
The visualization and analysis of brain data such as white matter difâ fusion tractography and magnetic resonance imaging (MRI) volumes is commonly used by neuro-specialist and researchers to help the understanding of brain structure, functionality and connectivity
Tractography datasets are constructed based on the diffusion local models from diffusion magnetic resonance imaging [1], that measures the 3D motion of white matter molecules in the Osorio et al BioMed Eng OnLine (2021) 20:72 brain
The most similar mobile applications are BrainTutor and Neuronavigator, which support viewing meshes, 3D images and fibers, with additional structural information, but they do not allow users to include external data, i.e., only predefined data can be viewed. Neither of these applications supports volume rendering for 3D volumes, nor do they allow users to customize illumination parameters
Summary
This section contains examples with the main functionalities of ABrainVis, describes and discusses the experimental evaluation and results, as well as the datasets used for this purpose. The most similar one is FiberWeb, which is a web application that allows the user to load tractography data and MRI volumes as slices, but not meshes It does not allow color differentiation of different tracts. Dataset II This dataset is composed of data of a subject from the ARCHI database [43] It includes a T1 MRI volume (.nii.gz), a head mesh (.mesh) and a whole-brain tractography (.bundles). Dataset IV This dataset includes the data of MRI volumes, an arteries mesh, and segmented bundles of a subject. Tractography data are composed of 20 deep white matter bundles in separated .trk files that has been segmented using [9], representing a total of 370,613 fibers. Samsung S9+ Samsung S10+ Huawei P20 Samsung A30 Samsung Tab S2 Samsung Tab A (2016)
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