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Life
Special Issues
Application and Future of Optical Coherence Tomography Angiography
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Special Issue "Application and Future of Optical Coherence Tomography Angiography"

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Biochemistry, Biophysics and Computational Biology".

Deadline for manuscript submissions: closed (15 July 2023) | Viewed by 1612

Special Issue Editor

Dr. Cuixia Dai

E-Mail Website
Guest Editor
School of Science, Shanghai Institute of Technology, Shanghai 201418, China
Interests: optical coherence tomography angiography; optical coherence tomography

Special Issue Information

Dear Colleagues,

The present Special Issue, entitled the “Application and Future of Optical Coherence Tomography Angiography”, will focus on the application and future of optical coherence tomography angiography (OCTA), an extension technique of optical coherence tomography. In recent years, OCTA has played an important role in diagnosis of early diseases. Its clinical application, in turn, has deepened and promoted the development of OCTA. Compared with traditional fluorescein angiography and indocyanine green angiography, OCTA has the advantages of non-invasive and fast imaging, and the system additionally provides three-dimensional visualization of vascular proliferation and ischemic lesions in the lesion area with high resolution. The clinical application and future of OCTA depends on the development of the OCT imaging technique and algorithm of OCTA, as well as exploration of pathogenesis mechanisms and disease detection. We recommend the submission of research in these fields, whether related to the technique of OCTA or contributing to the application and future of OCTA.

Dr. Cuixia Dai
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. Life 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 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 angiography
  • algorithm
  • ophthalmology
  • endoscopy
  • dermatology

Published Papers (1 paper)

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Article
TranSegNet: Hybrid CNN-Vision Transformers Encoder for Retina Segmentation of Optical Coherence Tomography
by
Yiheng Zhang
,
Zhongliang Li
,
Nan Nan
and
Xiangzhao Wang
Life 2023, 13(4), 976; https://doi.org/10.3390/life13040976 - 10 Apr 2023
Viewed by 1334
Abstract
Optical coherence tomography (OCT) provides unique advantages in ophthalmic examinations owing to its noncontact, high-resolution, and noninvasive features, which have evolved into one of the most crucial modalities for identifying and evaluating retinal abnormalities. Segmentation of laminar structures and lesion tissues in retinal [...] Read more.
Optical coherence tomography (OCT) provides unique advantages in ophthalmic examinations owing to its noncontact, high-resolution, and noninvasive features, which have evolved into one of the most crucial modalities for identifying and evaluating retinal abnormalities. Segmentation of laminar structures and lesion tissues in retinal OCT images can provide quantitative information on retinal morphology and reliable guidance for clinical diagnosis and treatment. Convolutional neural networks (CNNs) have achieved success in various medical image segmentation tasks. However, the receptive field of convolution has inherent locality constraints, resulting in limitations of mainstream frameworks based on CNNs, which is still evident in recognizing the morphological changes of retina OCT. In this study, we proposed an end-to-end network, TranSegNet, which incorporates a hybrid encoder that combines the advantages of a lightweight vision transformer (ViT) and the U-shaped network. The CNN features under multiscale resolution are extracted based on the improved U-net backbone, and a ViT with the multi-head convolutional attention is introduced to capture the feature information in a global view, realizing accurate localization and segmentation of retinal layers and lesion tissues. The experimental results illustrate that hybrid CNN-ViT is a strong encoder for retinal OCT image segmentation tasks and the lightweight design reduces its parameter size and computational complexity while maintaining its outstanding performance. By applying TranSegNet to healthy and diseased retinal OCT datasets separately, TranSegNet demonstrated superior efficiency, accuracy, and robustness in the segmentation results of retinal layers and accumulated fluid than the four advanced segmentation methods, such as FCN, SegNet, Unet and TransUnet. Full article
(This article belongs to the Special Issue Application and Future of Optical Coherence Tomography Angiography)
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