research-article

Volumetric choroidal segmentation using 3D residual U-Net

Authors:

Yining DaiAuthors Info & Claims

ICCAI '23: Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence

Pages 145 - 149

https://doi.org/10.1145/3594315.3594337

Published: 02 August 2023 Publication History

Abstract

Estimating dimensional measurements of the choroid provides diagnostic values which can be used to assess choroidal health. In this paper we describe a methodology of calculating measurements from choroid segmentations automatically generated using convolutional neural network (CNN). We use a three-dimensional (3D) U-Net architecture built from residual units to segment the choroid. A surface fitting phase is jointed to the main process to compensate segmented defects at the area of Optic Nerve Hypoplasia (ONH). Consequently, we process these segmentations to estimate the mean choroidal thickness(MCT). The model is evaluated on volumetric scans from 183 subjects, approximately half of which are thyroid eyes. In the choroidal layer segmentation experiment, the accuracy of the automatic segmentation algorithm proposed in this paper was 98.25% when comparing the manual segmentation results masked by doctors. It showed that the MCT in thyroid eyes were higher than those in normal eyes.

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Cited By

Zhu LLi JHu YZhu RZeng SRong PZhang YGu XWang YZhang ZYang LRen QLu Y(2024)Choroidal Optical Coherence Tomography Angiography: Non-invasive Choroidal Vessel Analysis via Deep LearningHealth Data Science10.34133/hds.0170Online publication date: 2-Jul-2024
https://doi.org/10.34133/hds.0170
Yan QMa YWu WMou LHuang WCheng JZhao Y(2024)Choroidal Layer Analysis in OCT images via Ambiguous Boundary-aware AttentionComputers in Biology and Medicine10.1016/j.compbiomed.2024.108386175(108386)Online publication date: Jun-2024
https://doi.org/10.1016/j.compbiomed.2024.108386
Dai YWang KZheng DLi GWang KWang XSun B(2023)Quantitative analysis of choroidal alterations in thyroid eye disease using swept-source OCTFrontiers in Physics10.3389/fphy.2023.124072811Online publication date: 27-Jul-2023
https://doi.org/10.3389/fphy.2023.1240728

Index Terms

Volumetric choroidal segmentation using 3D residual U-Net
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Image segmentation

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ICCAI '23: Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence

March 2023

824 pages

ISBN:9781450399029

DOI:10.1145/3594315

Copyright © 2023 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 02 August 2023

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National Natural Science Foundation of China
Shanxi Scholarship Council of China

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ICCAI 2023

ICCAI 2023: 2023 9th International Conference on Computing and Artificial Intelligence

March 17 - 20, 2023

Tianjin, China

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Cited By

Zhu LLi JHu YZhu RZeng SRong PZhang YGu XWang YZhang ZYang LRen QLu Y(2024)Choroidal Optical Coherence Tomography Angiography: Non-invasive Choroidal Vessel Analysis via Deep LearningHealth Data Science10.34133/hds.0170Online publication date: 2-Jul-2024
https://doi.org/10.34133/hds.0170
Yan QMa YWu WMou LHuang WCheng JZhao Y(2024)Choroidal Layer Analysis in OCT images via Ambiguous Boundary-aware AttentionComputers in Biology and Medicine10.1016/j.compbiomed.2024.108386175(108386)Online publication date: Jun-2024
https://doi.org/10.1016/j.compbiomed.2024.108386
Dai YWang KZheng DLi GWang KWang XSun B(2023)Quantitative analysis of choroidal alterations in thyroid eye disease using swept-source OCTFrontiers in Physics10.3389/fphy.2023.124072811Online publication date: 27-Jul-2023
https://doi.org/10.3389/fphy.2023.1240728

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