AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home AIMS Mathematics Article
PDF (2.3 MB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Review | Open Access

Development of mathematical models for quantitative OCT: A review

Peter Elbau1, Leonidas Mindrinos2( ), Leopold Veselka1
Faculty of Mathematics, University of Vienna, Austria
Department of Mathematics, National Technical University of Athens, Greece
Show Author Information

Abstract

We review mathematical models describing how Optical Coherence Tomography works. Hereby, we focus on models based on Maxwell's equations and their simplifications. We highlight especially the effects of different modeling assumptions for the incident illumination, the medium, the light propagation, and the measurement setup and illustrate the qualitatively differing behavior in numerical simulations of the OCT data and compare them with real data from OCT measurements.

Keywords

optical coherence tomographymathematical modelingGaussian waveMaxwell's equationsscattering theoryexperimental data
CLC number: 78-10, 78A25, 78A40

References

【1】
【1】
 
 
Crossref Google Scholar
AIMS Mathematics
Volume 8 Issue 2,
February 2023
Pages 2508-2531
DOI: 10.3934/math.2023130

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Cite this Report
Close
Close
Cite this article:
Elbau P, Mindrinos L, Veselka L. Development of mathematical models for quantitative OCT: A review. AIMS Mathematics, 2023, 8(2): 2508-2531. https://doi.org/10.3934/math.2023130

11

Views

0

Downloads

2

Crossref

2

Web of Science

2

Scopus
Received: 29 July 2022
Revised: 22 October 2022
Accepted: 25 October 2022
Published: 15 February 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)