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Ledoux LP, Morency FC, Cousineau M, et al. Fiberweb: Diffusion Visualization and Processing in the Browser. Front Neuroinform. 2017;11:54doi: 10.3389/fninf.2017.00054.
Ledoux, L. P., Morency, F. C., Cousineau, M., Houde, J. C., Whittingstall, K., & Descoteaux, M. (2017). Fiberweb: Diffusion Visualization and Processing in the Browser. Frontiers in neuroinformatics, 1154. https://doi.org/10.3389/fninf.2017.00054
Ledoux, Louis-Philippe, et al. "Fiberweb: Diffusion Visualization and Processing in the Browser." Frontiers in neuroinformatics vol. 11 (2017): 54. doi: https://doi.org/10.3389/fninf.2017.00054
Ledoux LP, Morency FC, Cousineau M, Houde JC, Whittingstall K, Descoteaux M. Fiberweb: Diffusion Visualization and Processing in the Browser. Front Neuroinform. 2017 Aug 18;11:54. doi: 10.3389/fninf.2017.00054. eCollection 2017. PMID: 28868000; PMCID: PMC5563309.
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Front Neuroinform. 2017 Aug 18;11:54. doi: 10.3389/fninf.2017.00054. eCollection 2017.

Fiberweb: Diffusion Visualization and Processing in the Browser.

Frontiers in neuroinformatics

Louis-Philippe Ledoux, Felix C Morency, Martin Cousineau, Jean-Christophe Houde, Kevin Whittingstall, Maxime Descoteaux

Affiliations

  1. Sherbrooke Connectivity Imaging Lab, Computer Science Department, Faculty of Science, University of SherbrookeSherbrooke, QC, Canada.
  2. ImekaSherbrooke, QC, Canada.
  3. Videos & Images Theory and Analytics Laboratory, University of SherbrookeSherbrooke, QC, Canada.
  4. Centre de Recherche CHUS, University of SherbrookeSherbrooke, QC, Canada.
  5. Department of Nuclear Medecine and Radiobiology, University of SherbrookeSherbrooke, QC, Canada.
  6. Department of Diagnostic Radiology, University of SherbrookeSherbrooke, QC, Canada.

PMID: 28868000 PMCID: PMC5563309 DOI: 10.3389/fninf.2017.00054

Abstract

Data visualization is one of the most important tool to explore the brain as we know it. In this work, we introduce a novel browser-based solution for medical imaging data visualization and interaction with diffusion-weighted magnetic resonance imaging (dMRI) and tractography data: Fiberweb. It uses a recent technology, WebGL, that has yet to be fully explored for medical imaging purposes. There are currently very few software tools that allow medical imaging data visualization in the browser, and none of these tools support efficient data interaction and processing, such as streamlines selection and real-time deterministic and probabilistic tractography (RTT). With Fiberweb allowing these types of interaction, it is no longer the case. We show results of the visualization of medical imaging data, and demonstrate that our new RTT probabilistic algorithm can compare to a state of the art offline algorithm. Overall, Fiberweb pushes the boundary of interaction combined with scientific visualization, which opens great perspectives for quality control and neurosurgical navigation on browser-based mobile and static devices.

Keywords: WebGL; diffusion MRI; interaction; medical visualization; tractography; web

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