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Optical coherence tomography (OCT) image analysis plays an important role in the field of ophthalmology. Current successful analysis models rely on available large datasets, which can be challenging to be obtained for certain tasks. The use…

Image and Video Processing · Electrical Eng. & Systems 2024-05-28 Kun Huang , Xiao Ma , Yuhan Zhang , Na Su , Songtao Yuan , Yong Liu , Qiang Chen , Huazhu Fu

The modern image search system requires semantic understanding of image, and a key yet under-addressed problem is to learn a good metric for measuring the similarity between images. While deep metric learning has yielded impressive…

Computer Vision and Pattern Recognition · Computer Science 2017-08-08 Jian Wang , Feng Zhou , Shilei Wen , Xiao Liu , Yuanqing Lin

Segmenting specific targets or biomarkers is necessary to analyze optical coherence tomography angiography (OCTA) images. Previous methods typically segment all the targets in an OCTA sample, such as retinal vessels (RVs). Although these…

Machine Learning · Computer Science 2024-03-21 Xinrun Chen , Chengliang Wang , Haojian Ning , Shiying Li , Mei Shen

Ultra-wide optical coherence tomography angiography (UW-OCTA) is an emerging imaging technique that offers significant advantages over traditional OCTA by providing an exceptionally wide scanning range of up to 24 x 20 $mm^{2}$, covering…

Image and Video Processing · Electrical Eng. & Systems 2023-11-20 Hao Wei , Peilun Shi , Guitao Bai , Minqing Zhang , Shuangle Li , Wu Yuan

Optical coherence tomography (OCT) and confocal microscopy are pivotal in retinal imaging, offering distinct advantages and limitations. In vivo OCT offers rapid, non-invasive imaging but can suffer from clarity issues and motion artifacts,…

Image and Video Processing · Electrical Eng. & Systems 2024-12-18 Xin Tian , Nantheera Anantrasirichai , Lindsay Nicholson , Alin Achim

Large text-to-image diffusion models have impressive capabilities in generating photorealistic images from text prompts. How to effectively guide or control these powerful models to perform different downstream tasks becomes an important…

Computer Vision and Pattern Recognition · Computer Science 2024-03-15 Zeju Qiu , Weiyang Liu , Haiwen Feng , Yuxuan Xue , Yao Feng , Zhen Liu , Dan Zhang , Adrian Weller , Bernhard Schölkopf

Large-volume optical coherence tomography (OCT)-setups employ scanning mirrors and suffer from non-linear geometric distortion artifacts in which the degree of distortion is determined by the maximum angles over which the mirrors rotate. In…

Automatic motion compensation and adjustment of an intraoperative imaging modality's field of view is a common problem during interventions. Optical coherence tomography (OCT) is an imaging modality which is used in interventions due to its…

Computer Vision and Pattern Recognition · Computer Science 2019-03-12 Nils Gessert , Martin Gromniak , Matthias Schlüter , Alexander Schlaefer

Optical Coherence Tomography(OCT) is a non-invasive technique capturing cross-sectional area of the retina in micro-meter resolutions. It has been widely used as a auxiliary imaging reference to detect eye-related pathology and predict…

Image and Video Processing · Electrical Eng. & Systems 2022-09-01 Shuo Chen , Da Ma , Sieun Lee , Timothy T. L. Yu , Gavin Xu , Donghuan Lu , Karteek Popuri , Myeong Jin Ju , Marinko V. Sarunic , Mirza Faisal Beg

Optical coherence tomography (OCT) is a powerful and noninvasive method for retinal imaging. In this paper, we introduce a fast segmentation method based on a new variant of spectral graph theory named diffusion maps. The research is…

Computer Vision and Pattern Recognition · Computer Science 2012-10-09 Raheleh Kafieh , Hossein Rabbani , Michael D. Abramoff , Milan Sonka

A recent advance in optical coherence tomography (OCT), termed swept-source OCT, is generalized into a new technique, Fourier-domain OCT. It represents a realization of a full-field OCT system in place of the conventional serial image…

Microscopy images are crucial for life science research, allowing detailed inspection and characterization of cellular and tissue-level structures and functions. However, microscopy data are unavoidably affected by image degradations, such…

Image and Video Processing · Electrical Eng. & Systems 2025-11-20 Nuno Pimpão Martins , Yannis Kalaidzidis , Marino Zerial , Florian Jug

Optical coherence tomography angiography (OCTA) is an important imaging modality in many bioengineering tasks. The image quality of OCTA, however, is often degraded by Bulk Motion Artifacts (BMA), which are due to micromotion of subjects…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Jiaxiang Ren , Kicheon Park , Yingtian Pan , Haibin Ling

High-numerical-aperture optical coherence tomography (OCT) enables sub-cellular imaging but faces a trade-off between lateral resolution and depth of focus. Computational refocusing can correct defocus in Fourier-domain OCT, yet its…

Optics · Physics 2026-05-22 Yue Zhu , Shuichi Makita , Naoki Fukutake , Yoshiaki Yasuno

Three-dimensional digital subtraction angiography (3D-DSA) is a widely adopted technique for clinical evaluation of contrast-enhanced vasculatures. The distribution of a contrast agent such as iodine is often estimated via temporal…

Medical Physics · Physics 2023-10-18 Xiaoxuan Zhang , Xiao Jiang , Matthew Tivnan , J. Webster Stayman , Grace Gang

Optical Coherence Tomography (OCT) is one of the most emerging imaging modalities that has been used widely in the field of biomedical imaging. From its emergence in 1990's, plenty of hardware and software improvements have been made. Its…

Computer Vision and Pattern Recognition · Computer Science 2014-11-18 Ahmadreza Baghaie , Roshan M. D'souza , Zeyun Yu

Three-dimensional (3D) reconstruction of head Computed Tomography (CT) images elucidates the intricate spatial relationships of tissue structures, thereby assisting in accurate diagnosis. Nonetheless, securing an optimal head CT scan…

Computer Vision and Pattern Recognition · Computer Science 2023-09-18 Bowen Zheng , Chenxi Huang , Yuemei Luo

Optical coherence tomography (OCT) is one of the non-invasive and easy-to-acquire biomarkers (the thickness of the retinal layers, which is detectable within OCT scans) being investigated to diagnose Alzheimer's disease (AD). This work aims…

Image and Video Processing · Electrical Eng. & Systems 2022-06-14 Paria Jeihouni , Omid Dehzangi , Annahita Amireskandari , Ali Dabouei , Ali Rezai , Nasser M. Nasrabadi

At the present time Optical Coherence Tomography (OCT) is among the most commonly used non-invasive imaging methods for the acquisition of large volumetric scans of human retinal tissues and vasculature. To resolve decisive information from…

Computer Vision and Pattern Recognition · Computer Science 2021-11-02 D. Sitenko , B. Boll , C. Schnörr

Optical Coherence Tomography (OCT) has become one of the most used imaging modality in ophthalmology. It provides high-resolution, non-invasive visualization of retinal microarchitecture. The automated analysis of OCT images through…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Hedi Tabia , Désiré Sidibé , Nawres Khlifa , Ahmed Tabia , Ines Rahmany , Noura Aboudi , Zainab Haddad , Hajer Khachnaoui , Hsouna Zgolli
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