ArticlePloS one2015
Seeing More by Showing Less: Orientation-Dependent Transparency Rendering for Fiber Tractography Visualization.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Real-time tractography: computation and visualization.Brain structure & function · 2025Review
- Measuring compartmental TNeuroImage · 2021Article
- Computing and visualising intra-voxel orientation-specific relaxation-diffusion features in the human brain.Human brain mapping · 2021Article
- Fiber visualization for preoperative glioma assessment: Tractography versus local connectivity mapping.PloS one · 2019Article
- An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan.NeuroImage · 2018Article
- Active delineation of Meyer's loop using oriented priors through MAGNEtic tractography (MAGNET).Human brain mapping · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Fiber tractography plays an important role in exploring the architectural organization of fiber trajectories, both in fundamental neuroscience and in clinical applications. With the advent of diffusion MRI (dMRI) approaches that can also model "crossing fibers", the complexity of the fiber network as reconstructed with tractography has increased tremendously. Many pathways interdigitate and overlap, which hampers an unequivocal 3D visualization of the network and impedes an efficient study of its organization. We propose a novel fiber tractography visualization approach that interactively and selectively adapts the transparency rendering of fiber trajectories as a function of their orientation to enhance the visibility of the spatial context. More specifically, pathways that are oriented (locally or globally) along a user-specified opacity axis can be made more transparent or opaque. This substantially improves the 3D visualization of the fiber network and the exploration of tissue configurations that would otherwise be largely covered by other pathways. We present examples of fiber bundle extraction and neurosurgical planning cases where the added benefit of our new visualization scheme is demonstrated over conventional fiber visualization approaches.
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Registered trials
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