O-PRESS: Boosting OCT axial resolution with Prior guidance, Recurrence, and Equivariant Self-Supervision

doi:10.1016/j.media.2024.103319

	O-PRESS: Boosting OCT axial resolution with Prior guidance, Recurrence, and Equivariant Self-Supervision
	Li, Kaiyan 1,2; Yang, Jingyuan 3,4; Liang, Wenxuan 1,2,8; Li, Xingde 5; Zhang, Chenxi 3,4; Chen, Lulu 3,4; Wu, Chan 3,4; Zhang, Xiao 3,4; Xu, Zhiyan 3,4; Wang, Yueling 3,4; Meng, Lihui 3,4; Zhang, Yue 1,2; Chen, Youxin 3,4; Zhou, S. Kevin 1,2,6,7
	2025
发表期刊	MEDICAL IMAGE ANALYSIS
ISSN	1361-8415
卷号	99 页码:16
摘要	Optical coherence tomography (OCT) is a noninvasive technology that enables real-time imaging of tissue microanatomies. The axial resolution of OCT is intrinsically constrained by the spectral bandwidth of the employed light source while maintaining a fixed center wavelength for a specific application. Physically extending this bandwidth faces strong limitations and requires a substantial cost. We present a novel computational approach, called as O-PRESS, , for boosting the axial resolution of O CT with P rior guidance, a R ecurrent mechanism, and E quivariant S elf-Supervision. S upervision. Diverging from conventional deconvolution methods that rely on physical models or data-driven techniques, our method seamlessly integrates OCT modeling and deep learning, enabling us to achieve real-time axial-resolution enhancement exclusively from measurements without a need for paired images. Our approach solves two primary tasks of resolution enhancement and noise reduction with one treatment. Both tasks are executed in a self-supervised manner, with equivariance imaging and free space priors guiding their respective processes. Experimental evaluations, encompassing both quantitative metrics and visual assessments, consistently verify the efficacy and superiority of our approach, which exhibits performance on par with fully supervised methods. Importantly, the robustness of our model is affirmed, showcasing its dual capability to enhance axial resolution while concurrently improving the signal-to-noise ratio.
关键词	Retinal imaging OCT image reconstruction Resolution Self-supervised learning Prior guidance
DOI	10.1016/j.media.2024.103319
收录类别	SCI
语种	英语
资助项目	National High Level Hospital Clinical Research Funding[2022-PUMCH-B-101] ; National Natural Science Foundation of China[62271465] ; Suzhou Basic Research Program[SYG202338] ; Open Fund Project of Guangdong Academy of Medical Sciences, China[YKY-KF202206] ; Jiangsu Funding Program for Excellent Postdoctoral Talent and China Postdoctoral Science Foundation[2023M733428]
WOS研究方向	Computer Science ; Engineering ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:001315830200001
出版者	ELSEVIER
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/39580
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhou, S. Kevin
作者单位	1.Univ Sci & Technol China USTC, Sch Biomed Engn, Div Life Sci & Med, Hefei 230026, Anhui, Peoples R China 2.USTC, Ctr Med Imaging Robot Analyt Comp & Learning MIRAC, Suzhou Inst Adv Res, Suzhou 215123, Jiangsu, Peoples R China 3.Chinese Acad Med Sci, Dept Ophthalmol, Peking Union Med Coll Hosp, Beijing 100730, Peoples R China 4.Chinese Acad Med Sci, Key Lab Ocular Fundus Dis, Beijing 100730, Peoples R China 5.Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD 21287 USA 6.USTC, Key Lab Precis & Intelligent Chem, Hefei 230026, Anhui, Peoples R China 7.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 8.Univ Sci & Technol China, Sch Phys Sci, Hefei 230026, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Li, Kaiyan,Yang, Jingyuan,Liang, Wenxuan,et al. O-PRESS: Boosting OCT axial resolution with Prior guidance, Recurrence, and Equivariant Self-Supervision[J]. MEDICAL IMAGE ANALYSIS,2025,99:16.
APA	Li, Kaiyan.,Yang, Jingyuan.,Liang, Wenxuan.,Li, Xingde.,Zhang, Chenxi.,...&Zhou, S. Kevin.(2025).O-PRESS: Boosting OCT axial resolution with Prior guidance, Recurrence, and Equivariant Self-Supervision.MEDICAL IMAGE ANALYSIS,99,16.
MLA	Li, Kaiyan,et al."O-PRESS: Boosting OCT axial resolution with Prior guidance, Recurrence, and Equivariant Self-Supervision".MEDICAL IMAGE ANALYSIS 99(2025):16.