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- 出生日期：1983-09-02
- 电子邮箱：zhaowang92@uestc.edu.cn
- 入职时间：2018-06-01
- 学历：博士研究生毕业
- 办公地点：清水河科研楼4号C区336房间
- 性别：男
- 学位：哲学博士学位
- 职称：教授
- 博士生导师
- 曾获荣誉：国家青年特聘专家，荣获四川省“天府峨眉计划”、成都市“四派人才”、“蓉漂计划”称号
- 学科：电子科学与技术
物理电子学
AI-based 3D analysis of retinal vasculature associated with retinal diseases using OCT angiography
- 点击次数：
- 所属单位：[1]Univ Elect Sci & Technol China, Sch Elect Sci & Engn, Chengdu 610054, Sichuan, Peoples R China;[2]Nantong Univ, Wuxi 2 Peoples Hosp, Dept Ophthalmol, Affiliated Wuxi Clin Coll, Wuxi 214002, Jiangsu, Peoples R China;[3]Shanxi Med Univ, Dept Cataract, Shanxi Eye Hosp, Taiyuan 030001, Shanxi, Peoples R China
- 发表刊物：BIOMEDICAL OPTICS EXPRESS
- 关键字：Angiography - Diseases - Eye protection - Image segmentation - Multilayer neural networks - Noninvasive medical procedures
- 摘要：Retinal vasculature is the only vascular system in the human body that can be observed in a non-invasive manner, with a phenotype associated with a wide range of ocular, cerebral, and cardiovascular diseases. OCT and OCT angiography (OCTA) provide powerful imaging methods to visualize the three-dimensional morphological and functional information of the retina. In this study, based on OCT and OCTA multimodal inputs, a multitask convolutional neural network model was built to realize 3D segmentation of retinal blood vessels and disease classification for different retinal diseases, overcoming the limitations of existing methods that can only perform 2D analysis of OCTA. Two hundred thirty sets of OCT and OCTA data from 109 patients, including 138,000 cross-sectional images in normal and diseased eyes (age-related macular degeneration, retinal vein occlusion, and central serous chorioretinopathy), were collected from four commercial OCT systems for model training, validation, and testing. Experimental results verified that the proposed method was able to achieve a DICE coefficient of 0.956 for 3D segmentation of blood vessels and an accuracy of 91.49% for disease classification, and further enabled us to evaluate the 3D reconstruction of retinal vessels, explore the interlayer connections of superficial and deep vasculatures, and reveal the 3D quantitative vessel characteristics in different retinal diseases.
- 文献类型：Article
- 卷号：15
- 期号：11
- 页面范围：6416-6432
- ISSN号：2156-7085
- 是否译文：否