2015
DOI: 10.1038/srep17168
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Three-dimensional Reconstruction of Peripheral Nerve Internal Fascicular Groups

Abstract: Peripheral nerves are important pathways for receiving afferent sensory impulses and sending out efferent motor instructions, as carried out by sensory nerve fibers and motor nerve fibers. It has remained a great challenge to functionally reconnect nerve internal fiber bundles (or fascicles) in nerve repair. One possible solution may be to establish a 3D nerve fascicle visualization system. This study described the key technology of 3D peripheral nerve fascicle reconstruction. Firstly, fixed nerve segments wer… Show more

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Cited by 22 publications
(22 citation statements)
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“…B) Imaging of a 3D model of median nerve, for further precise reconstruction. Reprinted with permission from [203], Copyright © 2015, Macmillan Publishers Limited.…”
Section: The Possibility Of Patient-specific Nerve Repair and Ngcsmentioning
confidence: 99%
“…B) Imaging of a 3D model of median nerve, for further precise reconstruction. Reprinted with permission from [203], Copyright © 2015, Macmillan Publishers Limited.…”
Section: The Possibility Of Patient-specific Nerve Repair and Ngcsmentioning
confidence: 99%
“…e internal structure of the peripheral nerve and the morphology of the nerve fascicles are complicated [29]. It was proven in a previous study by our team that the nerve fascicles change in position and quantity within a distance of 0.25∼5 mm, and this is accompanied by the di erentiation and combination of the functional nature of the nerve [30]. e understanding of peripheral nerves is limited at the technical level and the amount of data studied.…”
Section: Discussionmentioning
confidence: 99%
“…We quantified the performance of each step of our process in order to establish a standard for future explorations of this technology. Furthermore, except for one group that created their own visualization software (18), others used commercial reconstruction software to generate their models, reducing the accessibility to their methods(16,17,19,29). Every step of our method was implemented in MATLAB, which both simplified the processing pipeline and reduced the barrier to entry.…”
Section: Discussionmentioning
confidence: 99%