Simulating optical coherence tomography for observing nerve activity: A finite difference time domain bi-dimensional model.
We present a finite difference time domain (FDTD) model for computation of A line scans in time domain optical coherence tomography (OCT). The OCT output signal is created using two different simulations for the reference and sample arms, with a successive computation of the interference signal with...
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doaj-db066c12ba3641a9845a7bb3482443e92020-11-25T02:33:49ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01137e020039210.1371/journal.pone.0200392Simulating optical coherence tomography for observing nerve activity: A finite difference time domain bi-dimensional model.Francesca TroianiKonstantin NikolicTimothy G ConstandinouWe present a finite difference time domain (FDTD) model for computation of A line scans in time domain optical coherence tomography (OCT). The OCT output signal is created using two different simulations for the reference and sample arms, with a successive computation of the interference signal with external software. In this paper we present the model applied to two different samples: a glass rod filled with water-sucrose solution at different concentrations and a peripheral nerve. This work aims to understand to what extent time domain OCT can be used for non-invasive, direct optical monitoring of peripheral nerve activity.http://europepmc.org/articles/PMC6039043?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Francesca Troiani Konstantin Nikolic Timothy G Constandinou |
spellingShingle |
Francesca Troiani Konstantin Nikolic Timothy G Constandinou Simulating optical coherence tomography for observing nerve activity: A finite difference time domain bi-dimensional model. PLoS ONE |
author_facet |
Francesca Troiani Konstantin Nikolic Timothy G Constandinou |
author_sort |
Francesca Troiani |
title |
Simulating optical coherence tomography for observing nerve activity: A finite difference time domain bi-dimensional model. |
title_short |
Simulating optical coherence tomography for observing nerve activity: A finite difference time domain bi-dimensional model. |
title_full |
Simulating optical coherence tomography for observing nerve activity: A finite difference time domain bi-dimensional model. |
title_fullStr |
Simulating optical coherence tomography for observing nerve activity: A finite difference time domain bi-dimensional model. |
title_full_unstemmed |
Simulating optical coherence tomography for observing nerve activity: A finite difference time domain bi-dimensional model. |
title_sort |
simulating optical coherence tomography for observing nerve activity: a finite difference time domain bi-dimensional model. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2018-01-01 |
description |
We present a finite difference time domain (FDTD) model for computation of A line scans in time domain optical coherence tomography (OCT). The OCT output signal is created using two different simulations for the reference and sample arms, with a successive computation of the interference signal with external software. In this paper we present the model applied to two different samples: a glass rod filled with water-sucrose solution at different concentrations and a peripheral nerve. This work aims to understand to what extent time domain OCT can be used for non-invasive, direct optical monitoring of peripheral nerve activity. |
url |
http://europepmc.org/articles/PMC6039043?pdf=render |
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