生物医学工程研究2025,Vol.44Issue(6):409-414,6.DOI:10.19529/j.cnki.1672-6278.2025.06.09
光学相干断层扫描成像与深度学习应用研究进展
A review of research progress in optical coherence tomography and its application in deep learning
摘要
Abstract
Optical coherence tomography(OCT)is a non-invasive high-resolution imaging technique and serves as the gold standard for diagnosis of retinal diseases.With the advancement of technology,OCT has achieved rapid development in imaging speed,resolution,and other aspects.It enables the detection of indicators such as retinal angiography,blood oxygen saturation,and blood flow velocity,and when combined with deep learning technology,provides important reference value for the diagnosis and treatment of oph-thalmic diseases.This article introduces the research progress of OCT in the field of ophthalmology from the perspectives of OCT struc-tural imaging and functional imaging,as well as the OCT image processing methods based on deep learning and looks forward to the ap-plication prospects of OCT in ophthalmic clinical practice.关键词
光学相干断层扫描/视网膜疾病/深度学习/图像处理Key words
Optical coherence tomography/Retinal diseases/Deep learning/Image processing分类
医药卫生引用本文复制引用
廖琪,马立新,霍睿,宋维业,崔圆..光学相干断层扫描成像与深度学习应用研究进展[J].生物医学工程研究,2025,44(6):409-414,6.基金项目
国家自然科学基金项目(62205181) (62205181)
山东省自然科学基金项目(ZR2022QF017) (ZR2022QF017)
山东省优秀青年科学基金项目(海外)(2023HWYQ-023) (海外)
山东省泰山学者青年专家计划(tsqn202211038) (tsqn202211038)
山东省重点研发计划(2024CXGC010106). (2024CXGC010106)