NDLI: Fiberweb : visualisation et interaction dans le web en imagerie par résonance magnétique de diffusion

Content Provider	Semantic Scholar
Author	Ledoux, Louis-Philippe
Copyright Year	2017
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). 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 allows the user to interact and process his data in ways that were not previously possible in the browser, which opens great perspectives for quality control and neurosurgical navigation on browser-based mobile and static devices.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://savoirs.usherbrooke.ca/bitstream/handle/11143/10149/Ledoux_Louis_Philippe_MSC_2017.pdf?isAllowed=y&sequence=1
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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