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

文献类型：期刊论文

作者Li, Kaiyan1,2; Yang, Jingyuan4,5; Liang, Wenxuan1,2,3; Li, Xingde6; Zhang, Chenxi4,5; Chen, Lulu4,5; Wu, Chan4,5; Zhang, Xiao4,5; Xu, Zhiyan4,5; Wang, Yueling4,5
刊名MEDICAL IMAGE ANALYSIS
出版日期2025
卷号99页码:16
关键词Retinal imaging OCT image reconstruction Resolution Self-supervised learning Prior guidance
ISSN号1361-8415
DOI10.1016/j.media.2024.103319
英文摘要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.
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
语种英语
WOS记录号WOS:001315830200001
出版者ELSEVIER
源URL[http://119.78.100.204/handle/2XEOYT63/39579]  
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.Univ Sci & Technol China, Sch Phys Sci, Hefei 230026, Anhui, Peoples R China
4.Chinese Acad Med Sci, Dept Ophthalmol, Peking Union Med Coll Hosp, Beijing 100730, Peoples R China
5.Chinese Acad Med Sci, Key Lab Ocular Fundus Dis, Beijing 100730, Peoples R China
6.Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD 21287 USA
7.USTC, Key Lab Precis & Intelligent Chem, Hefei 230026, Anhui, Peoples R China
8.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, 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.

入库方式： OAI收割

来源：计算技术研究所

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