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Automated Image Quality Assessment for Anterior Segment Optical Coherence Tomograph

Chen, Boyu; Solebo, Ameenat L; Taylor, Paul; (2023) Automated Image Quality Assessment for Anterior Segment Optical Coherence Tomograph. In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). IEEE: Cartagena, Colombia. Green open access

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Abstract

Optical Coherence Tomography (OCT) is a technique for diagnosing eye disorders. Image quality assessment (IQA) of OCT images is essential, but manual IQA is time consuming and subjective. Recently, automated IQA methods based on deep learning (DL) have achieved good performance. However, few of these methods focus on OCT images of the anterior segment of the eye (AS-OCT). Moreover, few of these methods identify the factors that affect the quality of the images (called "quality factors" in this paper). This could adversely affect the acceptance of their results. In this study, we define, for the first time to the best of our knowledge, the quality level and four quality factors of AS-OCT for the clinical context of anterior chamber inflammation. We also develop an automated framework based on multi-task learning to assess the quality and to identify the existing of quality factors in the AS-OCT images. The effectiveness of the framework is demonstrated in experiments.

Type: Proceedings paper
Title: Automated Image Quality Assessment for Anterior Segment Optical Coherence Tomograph
Event: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
Dates: 18 Apr 2023 - 21 Apr 2023
ISBN-13: 978-1-6654-7358-3
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ISBI53787.2023.10230756
Publisher version: https://doi.org/10.1109/ISBI53787.2023.10230756
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Q-factor; Image quality; Deep learning; Image segmentation; Biomedical optical imaging; Optical coherence tomography; Coherence
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy > Pharmaceutics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept
URI: https://discovery.ucl.ac.uk/id/eprint/10178518
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