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Optical Coherence Tomography: Technology and Algorithms

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".

Deadline for manuscript submissions: closed (21 January 2023) | Viewed by 6342

Special Issue Editors

Advanced Electronics and Photonics Research Centre, National Research Council of Canada, 1200 Montreal Road, M50, Ottawa, ON K1A 0R6, Canada
Interests: photonics; biophotonics; medical imaging
Electrical and Computer Engineering Department, Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
Interests: biophotonics; optical coherence tomography (OCT); optical and fluorescence microscopy; tissue optics; integrated computational imaging; digital image restoration; statistical signal processing; laser spectroscopy

Special Issue Information

Dear Colleagues,

Optical coherence tomography (OCT) has established itself as an important subsurface imaging modality for numerous biomedical and industrial applications. After almost three decades of its inception, advances in different fundamental research areas, e.g., lasers, optical sensors, and sparse signal processing, are still enabling novel hardware setups, image reconstruction, and image enhancement algorithms.

This Special Issue aims to solicit papers from academic and industrial researchers with original and innovative research on all technological aspects of optical coherence tomography and optical subsurface imaging. Original contributions that review and report on the state of the art, highlight challenges, point to future directions, and propose novel solutions are also welcome.

Topics of interest include but are not limited to:

  • Novel optical coherence tomography designs;
  • Subsurface optical microscopy;
  • Multimodal optical imaging systems;
  • Optical sensor fusion and compressed sensing;
  • Inverse optical scattering and image reconstruction;
  • Doppler optical coherence tomography
  • Spectroscopic optical coherence tomography;
  • Optical coherence elastography.

Dr. Costel Flueraru
Prof. Dr. Sherif S. Sherif
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Optical coherence tomography 
  • Subsurface optical microscopy 
  • Optical sensor fusion and compressed sensing 
  • Inverse optical scattering and image reconstruction 
  • Doppler optical coherence tomography 
  • Spectroscopic optical coherence tomography 
  • Optical coherence elastography

Published Papers (3 papers)

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Research

16 pages, 2708 KiB  
Article
Non-Destructive Direct Pericarp Thickness Measurement of Sorghum Kernels Using Extended-Focus Optical Coherence Microscopy
by Dipankar Sen, Alma Fernández, Daniel Crozier, Brian Henrich, Alexei V. Sokolov, Marlan O. Scully, William L. Rooney and Aart J. Verhoef
Sensors 2023, 23(2), 707; https://0-doi-org.brum.beds.ac.uk/10.3390/s23020707 - 08 Jan 2023
Viewed by 1549
Abstract
Non-destructive measurements of internal morphological structures in plant materials such as seeds are of high interest in agricultural research. The estimation of pericarp thickness is important to understand the grain quality and storage stability of seeds and can play a crucial role in [...] Read more.
Non-destructive measurements of internal morphological structures in plant materials such as seeds are of high interest in agricultural research. The estimation of pericarp thickness is important to understand the grain quality and storage stability of seeds and can play a crucial role in improving crop yield. In this study, we demonstrate the applicability of fiber-based Bessel beam Fourier domain (FD) optical coherence microscopy (OCM) with a nearly constant high lateral resolution maintained at over ~400 µm for direct non-invasive measurement of the pericarp thickness of two different sorghum genotypes. Whereas measurements based on axial profiles need additional knowledge of the pericarp refractive index, en-face views allow for direct distance measurements. We directly determine pericarp thickness from lateral sections with a 3 µm resolution by taking the width of the signal corresponding to the pericarp at the 1/e threshold. These measurements enable differentiation of the two genotypes with 100% accuracy. We find that trading image resolution for acquisition speed and view size reduces the classification accuracy. Average pericarp thicknesses of 74 µm (thick phenotype) and 43 µm (thin phenotype) are obtained from high-resolution lateral sections, and are in good agreement with previously reported measurements of the same genotypes. Extracting the morphological features of plant seeds using Bessel beam FD-OCM is expected to provide valuable information to the food processing industry and plant breeding programs. Full article
(This article belongs to the Special Issue Optical Coherence Tomography: Technology and Algorithms)
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14 pages, 30752 KiB  
Article
Generalized Image Reconstruction in Optical Coherence Tomography Using Redundant and Non-Uniformly-Spaced Samples
by Karim Nagib, Biniyam Mezgebo, Namal Fernando, Behzad Kordi and Sherif S. Sherif
Sensors 2021, 21(21), 7057; https://0-doi-org.brum.beds.ac.uk/10.3390/s21217057 - 25 Oct 2021
Cited by 4 | Viewed by 1871
Abstract
In this paper, we use Frame Theory to develop a generalized OCT image reconstruction method using redundant and non-uniformly spaced frequency domain samples that includes using non-redundant and uniformly spaced samples as special cases. We also correct an important theoretical error in the [...] Read more.
In this paper, we use Frame Theory to develop a generalized OCT image reconstruction method using redundant and non-uniformly spaced frequency domain samples that includes using non-redundant and uniformly spaced samples as special cases. We also correct an important theoretical error in the previously reported results related to OCT image reconstruction using the Non-uniform Discrete Fourier Transform (NDFT). Moreover, we describe an efficient method to compute our corrected reconstruction transform, i.e., a scaled NDFT, using the Fast Fourier Transform (FFT). Finally, we demonstrate different advantages of our generalized OCT image reconstruction method by achieving (1) theoretically corrected OCT image reconstruction directly from non-uniformly spaced frequency domain samples; (2) a novel OCT image reconstruction method with a higher signal-to-noise ratio (SNR) using redundant frequency domain samples. Our new image reconstruction method is an improvement of OCT technology, so it could benefit all OCT applications. Full article
(This article belongs to the Special Issue Optical Coherence Tomography: Technology and Algorithms)
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25 pages, 1108 KiB  
Article
A Quantitative Model for Optical Coherence Tomography
by Leopold Veselka, Lisa Krainz, Leonidas Mindrinos, Wolfgang Drexler and Peter Elbau
Sensors 2021, 21(20), 6864; https://0-doi-org.brum.beds.ac.uk/10.3390/s21206864 - 15 Oct 2021
Cited by 4 | Viewed by 2062
Abstract
Optical coherence tomography (OCT) is a widely used imaging technique in the micrometer regime, which gained accelerating interest in medical imaging in the last twenty years. In up-to-date OCT literature, certain simplifying assumptions are made for the reconstructions, but for many applications, a [...] Read more.
Optical coherence tomography (OCT) is a widely used imaging technique in the micrometer regime, which gained accelerating interest in medical imaging in the last twenty years. In up-to-date OCT literature, certain simplifying assumptions are made for the reconstructions, but for many applications, a more realistic description of the OCT imaging process is of interest. In mathematical models, for example, the incident angle of light onto the sample is usually neglected or a plane wave description for the light–sample interaction in OCT is used, which ignores almost completely the occurring effects within an OCT measurement process. In this article, we make a first step to a quantitative model by considering the measured intensity as a combination of back-scattered Gaussian beams affected by the system. In contrast to the standard plane wave simplification, the presented model includes system relevant parameters, such as the position of the focus and the spot size of the incident laser beam, which allow a precise prediction of the OCT data. The accuracy of the proposed model—after calibration of all necessary system parameters—is illustrated by simulations and validated by a comparison with experimental data obtained from a 1300 nm swept-source OCT system. Full article
(This article belongs to the Special Issue Optical Coherence Tomography: Technology and Algorithms)
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