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Bioengineering
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Biomedical Applications of Optical Coherence Tomography, Second Edition
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Biomedical Applications of Optical Coherence Tomography, Second Edition

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 5983

Special Issue Editor

Dr. Shintaro Horie

E-Mail Website
Guest Editor
Department of Ophthalmology, Tokyo Medical and Dental University, Tokyo, Japan
Interests: vitreroretinal surgery
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The development of optical coherence tomography (OCT) represents a notable breakthrough in retinal imaging and ophthalmology. It provides internal information about the retinal, choroidal, posterior vitreous and even anterior segments of the eye. Since the first commercial OCT instrument was introduced in 1996, its basal technology has evolved from time-domain to spectral-domain (high-definition or Fourier domain) to swept-source technology. The latter method is indispensable in modern ophthalmology clinics. Furthermore, OCT applications are increasingly adopted in other medical fields, showing great potential for establishing novel biomarkers.

This Special Issue will focus on the most recent biomedical applications of optical coherence tomography. The addressed topics include, but are not limited to, the following:

Optical coherence tomography;

Optical coherence microscopy;

Optical coherence angiography;

Dynamic OCT;

Doppler OCT;

Polarization-sensitive OCT;

Spectroscopic OCT;

Optical coherence elastography;

OCT and artificial intelligence;

OCT for basic research (ex vivo, in vitro or in vivo models);

OCT for clinical studies in the field of biomedical research.

Original research will be prioritized, but critical reviews about the state of the art, current limitations and future perspectives are also welcome.

Dr. Shintaro Horie
Guest Editor

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. Bioengineering is an international peer-reviewed open access monthly 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 2700 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

  • retinal imaging
  • optical coherence tomography
  • optics
  • biophotonics

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Published Papers (3 papers)

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Research

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9 pages, 1408 KiB  
Article
Real-Time Integration of Optical Coherence Tomography Thickness Map Overlays for Enhanced Visualization in Epiretinal Membrane Surgery: A Pilot Study
by Ferhat Turgut, Keisuke Ueda, Amr Saad, Tahm Spitznagel, Luca von Felten, Takashi Matsumoto, Rui Santos, Marc D. de Smet, Zoltán Zsolt Nagy, Matthias D. Becker and Gábor Márk Somfai
Bioengineering 2025, 12(3), 271; https://doi.org/10.3390/bioengineering12030271 - 10 Mar 2025
Viewed by 659
Abstract
(1) Background: The process of epiretinal membrane peeling (MP) requires precise intraoperative visualization to achieve optimal surgical outcomes. This study investigates the integration of preoperative Optical Coherence Tomography (OCT) images into real-time surgical video feeds, providing a dynamic overlay that enhances the decision-making [...] Read more.
(1) Background: The process of epiretinal membrane peeling (MP) requires precise intraoperative visualization to achieve optimal surgical outcomes. This study investigates the integration of preoperative Optical Coherence Tomography (OCT) images into real-time surgical video feeds, providing a dynamic overlay that enhances the decision-making process during surgery. (2) Methods: Five MP surgeries were analyzed, where preoperative OCT images were first manually aligned with the initial frame of the surgical video by selecting five pairs of corresponding points. A homography transformation was then computed to overlay the OCT onto that first frame. Subsequently, for consecutive frames, feature point extraction (the Shi–Tomasi method) and optical flow computation (the Lucas–Kanade algorithm) were used to calculate frame-by-frame transformations, which were applied to the OCT image to maintain alignment in near real time. (3) Results: The method achieved a 92.7% success rate in optical flow detection and maintained an average processing speed of 7.56 frames per second (FPS), demonstrating the feasibility of near real-time application. (4) Conclusions: The developed approach facilitates enhanced intraoperative visualization, providing surgeons with easier retinal structure identification which results in more comprehensive data-driven decisions. By improving surgical precision while potentially reducing complications, this technique benefits both surgeons and patients. Furthermore, the integration of OCT overlays holds promise for advancing robot-assisted surgery and surgical training protocols. This pilot study establishes the feasibility of real-time OCT integration in MP and opens avenues for broader applications in vitreoretinal procedures. Full article
(This article belongs to the Special Issue Biomedical Applications of Optical Coherence Tomography, Second Edition)
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15 pages, 2922 KiB  
Article
Early Detection of Macular Atrophy Automated Through 2D and 3D Unet Deep Learning
by Wei Wei, Radhika Pooja Patel, Ivan Laponogov, Maria Francesca Cordeiro and Kirill Veselkov
Bioengineering 2024, 11(12), 1191; https://doi.org/10.3390/bioengineering11121191 - 25 Nov 2024
Viewed by 942
Abstract
Macular atrophy (MA) is an irreversible endpoint of age-related macular degeneration (AMD), which is the leading cause of blindness in the world. Early detection is therefore an unmet need. We have developed a novel automated method to identify MA in patients undergoing follow-up [...] Read more.
Macular atrophy (MA) is an irreversible endpoint of age-related macular degeneration (AMD), which is the leading cause of blindness in the world. Early detection is therefore an unmet need. We have developed a novel automated method to identify MA in patients undergoing follow-up with optical coherence tomography (OCT) for AMD based on the combination of 2D and 3D Unet architecture. Our automated detection of MA relies on specific structural changes in OCT, including six established atrophy-associated lesions. Using 1241 volumetric OCTs from 125 eyes (89 patients), the performance of this combination Unet architecture is extremely encouraging, with a mean dice similarity coefficient score of 0.90 ± 0.14 and a mean F1 score of 0.89 ± 0.14. These promising results have indicated superiority when compared to human graders, with a mean similarity of 0.71 ± 0.27. We believe this deep learning-aided tool would be useful to monitor patients with AMD, enabling the early detection of MA and supporting clinical decisions. Full article
(This article belongs to the Special Issue Biomedical Applications of Optical Coherence Tomography, Second Edition)
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Review

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24 pages, 726 KiB  
Review
A Survey on Optical Coherence Tomography—Technology and Application
by Ali Mokhtari, Bogdan Mihai Maris and Paolo Fiorini
Bioengineering 2025, 12(1), 65; https://doi.org/10.3390/bioengineering12010065 - 14 Jan 2025
Viewed by 3664
Abstract
This paper reviews the main research on Optical Coherence Tomography (OCT), focusing on the progress and advancements made by researchers over the past three decades in its methods and medical imaging applications. By analyzing existing studies and developments, this review aims to provide [...] Read more.
This paper reviews the main research on Optical Coherence Tomography (OCT), focusing on the progress and advancements made by researchers over the past three decades in its methods and medical imaging applications. By analyzing existing studies and developments, this review aims to provide a foundation for future research in the field. Full article
(This article belongs to the Special Issue Biomedical Applications of Optical Coherence Tomography, Second Edition)
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