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MicroCT optimisation for imaging fascicular anatomy in peripheral nerves

BACKGROUND: Due to the lack of understanding of the fascicular organisation, vagus nerve stimulation (VNS) leads to unwanted off-target effects. Micro-computed tomography (microCT) can be used to trace fascicles from periphery and image fascicular anatomy. NEW METHOD: In this study, we present a sim...

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Autores principales: Thompson, Nicole, Ravagli, Enrico, Mastitskaya, Svetlana, Iacoviello, Francesco, Aristovich, Kirill, Perkins, Justin, Shearing, Paul R, Holder, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier/North-Holland Biomedical Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181190/
https://www.ncbi.nlm.nih.gov/pubmed/32179090
http://dx.doi.org/10.1016/j.jneumeth.2020.108652
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author Thompson, Nicole
Ravagli, Enrico
Mastitskaya, Svetlana
Iacoviello, Francesco
Aristovich, Kirill
Perkins, Justin
Shearing, Paul R
Holder, David
author_facet Thompson, Nicole
Ravagli, Enrico
Mastitskaya, Svetlana
Iacoviello, Francesco
Aristovich, Kirill
Perkins, Justin
Shearing, Paul R
Holder, David
author_sort Thompson, Nicole
collection PubMed
description BACKGROUND: Due to the lack of understanding of the fascicular organisation, vagus nerve stimulation (VNS) leads to unwanted off-target effects. Micro-computed tomography (microCT) can be used to trace fascicles from periphery and image fascicular anatomy. NEW METHOD: In this study, we present a simple and reproducible method for imaging fascicles in peripheral nerves with iodine staining and microCT for the determination of fascicular anatomy and organisation. RESULTS: At the determined optimal pre-processing steps and scanning parameters, the microCT protocol allowed for segmentation and tracking of fascicles within the nerves. This was achieved after 24 hours and 120 hours of staining with Lugol’s solution (1% total iodine) for rat sciatic and pig vagus nerves, respectively, and the following scanning parameters: 4 μm voxel size, 35 kVp energy, 114 μA current, 4 W power, 0.25 fps in 4 s exposure time, 3176 projections and a molybdenum target. COMPARISON WITH EXISTING METHOD(S): This optimised method for imaging fascicles provides high-resolution, three-dimensional images and full imaging penetration depth not obtainable with methods typically used such as histology, magnetic resonance imaging and optical coherence tomography whilst obviating time-consuming pre-processing methods, the amount of memory required, destruction of the samples and the cost associated with current microCT methods. CONCLUSION: The optimised microCT protocol facilitates segmentation and tracking of the fascicles within the nerve. The resulting segmentation map of the functional anatomical organisation of the vagus nerve will enable selective VNS ultimately allowing for the avoidance of the off-target effects and improving its therapeutic efficacy.
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spelling pubmed-71811902020-05-15 MicroCT optimisation for imaging fascicular anatomy in peripheral nerves Thompson, Nicole Ravagli, Enrico Mastitskaya, Svetlana Iacoviello, Francesco Aristovich, Kirill Perkins, Justin Shearing, Paul R Holder, David J Neurosci Methods Article BACKGROUND: Due to the lack of understanding of the fascicular organisation, vagus nerve stimulation (VNS) leads to unwanted off-target effects. Micro-computed tomography (microCT) can be used to trace fascicles from periphery and image fascicular anatomy. NEW METHOD: In this study, we present a simple and reproducible method for imaging fascicles in peripheral nerves with iodine staining and microCT for the determination of fascicular anatomy and organisation. RESULTS: At the determined optimal pre-processing steps and scanning parameters, the microCT protocol allowed for segmentation and tracking of fascicles within the nerves. This was achieved after 24 hours and 120 hours of staining with Lugol’s solution (1% total iodine) for rat sciatic and pig vagus nerves, respectively, and the following scanning parameters: 4 μm voxel size, 35 kVp energy, 114 μA current, 4 W power, 0.25 fps in 4 s exposure time, 3176 projections and a molybdenum target. COMPARISON WITH EXISTING METHOD(S): This optimised method for imaging fascicles provides high-resolution, three-dimensional images and full imaging penetration depth not obtainable with methods typically used such as histology, magnetic resonance imaging and optical coherence tomography whilst obviating time-consuming pre-processing methods, the amount of memory required, destruction of the samples and the cost associated with current microCT methods. CONCLUSION: The optimised microCT protocol facilitates segmentation and tracking of the fascicles within the nerve. The resulting segmentation map of the functional anatomical organisation of the vagus nerve will enable selective VNS ultimately allowing for the avoidance of the off-target effects and improving its therapeutic efficacy. Elsevier/North-Holland Biomedical Press 2020-05-15 /pmc/articles/PMC7181190/ /pubmed/32179090 http://dx.doi.org/10.1016/j.jneumeth.2020.108652 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Thompson, Nicole
Ravagli, Enrico
Mastitskaya, Svetlana
Iacoviello, Francesco
Aristovich, Kirill
Perkins, Justin
Shearing, Paul R
Holder, David
MicroCT optimisation for imaging fascicular anatomy in peripheral nerves
title MicroCT optimisation for imaging fascicular anatomy in peripheral nerves
title_full MicroCT optimisation for imaging fascicular anatomy in peripheral nerves
title_fullStr MicroCT optimisation for imaging fascicular anatomy in peripheral nerves
title_full_unstemmed MicroCT optimisation for imaging fascicular anatomy in peripheral nerves
title_short MicroCT optimisation for imaging fascicular anatomy in peripheral nerves
title_sort microct optimisation for imaging fascicular anatomy in peripheral nerves
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181190/
https://www.ncbi.nlm.nih.gov/pubmed/32179090
http://dx.doi.org/10.1016/j.jneumeth.2020.108652
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