ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
文献类型：期刊论文
| 作者 | Ma, Yuhui; Hao, Huaying; Xie, Jianyang; Fu, Huazhu; Zhang, Jiong; Yang, Jianlong; Wang, Zhen; Liu, Jiang; Zheng, Yalin; Zhao, Yitian |
| 刊名 | IEEE TRANSACTIONS ON MEDICAL IMAGING
 |
| 出版日期 | 2021 |
| 卷号 | 40期号:3页码:928-939 |
| 英文摘要 | Optical Coherence Tomography Angiography (OCTA) is a non-invasive imaging technique that has been increasingly used to image the retinal vasculature at capillary level resolution. However, automated segmentation of retinal vessels in OCTA has been under-studied due to various challenges such as low capillary visibility and high vessel complexity, despite its significance in understanding many vision-related diseases. In addition, there is no publicly available OCTA dataset with manually graded vessels for training and validation of segmentation algorithms. To address these issues, for the first time in the field of retinal image analysis we construct a dedicated Retinal OCTA SEgmentation dataset (ROSE), which consists of 229 OCTA images with vessel annotations at either centerline-level or pixel level. This dataset with the source code has been released for public access to assist researchers in the community in undertaking research in related topics. Secondly, we introduce a novel split-based coarse-to-fine vessel segmentation network for OCTA images (OCTA-Net), with the ability to detect thick and thin vessels separately. In the OCTA-Net, a split-based coarse segmentation module is first utilized to produce a preliminary confidence map of vessels, and a split-based refined segmentation module is then used to optimize the shape/contour of the retinal microvasculature. We perform a thorough evaluation of the state-of-the-art vessel segmentation models and our OCTA-Net on the constructed ROSE dataset. The experimental results demonstrate that our OCTA-Net yields better vessel segmentation performance in OCTA than both traditional and other deep learning methods. In addition, we provide a fractal dimension analysis on the segmented microvasculature, and the statistical analysis demonstrates significant differences between the healthy control and Alzheimer's Disease group. This consolidates that the analysis of retinal microvasculature may offer a new scheme to study various neurodegenerative diseases. |
| 源URL | [http://ir.nimte.ac.cn/handle/174433/22132]  |
| 专题 | 中国科学院宁波材料技术与工程研究所 2021专题_期刊论文 |
| 作者单位 | 1.Zheng, YL (corresponding author), Univ Liverpool, Dept Eye & Vis Sci, Liverpool L69 3BX, Merseyside, England. 2.Zhao, YT (corresponding author), Chinese Acad Sci, Cixi Inst Biomed Engn, Ningbo Inst Mat Technol, Ningbo 315201, Peoples R China. |
| 推荐引用方式 GB/T 7714 | Ma, Yuhui,Hao, Huaying,Xie, Jianyang,et al. ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2021,40(3):928-939. |
| APA | Ma, Yuhui.,Hao, Huaying.,Xie, Jianyang.,Fu, Huazhu.,Zhang, Jiong.,...&Zhao, Yitian.(2021).ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model.IEEE TRANSACTIONS ON MEDICAL IMAGING,40(3),928-939. |
| MLA | Ma, Yuhui,et al."ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model".IEEE TRANSACTIONS ON MEDICAL IMAGING 40.3(2021):928-939. |
入库方式： OAI收割
来源：宁波材料技术与工程研究所
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