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Optical diffraction tomography (ODT) has emerged as an important label-free tool in biomedicine to measure the three-dimensional (3D) structure of a biological sample. In this paper, we describe ODT using second-harmonic generation (SHG)…

Optics · Physics 2024-05-21 Amirhossein Saba , Carlo Gigli , Ye Pu , Demetri Psaltis

Optical coherence tomography angiography (OCTA) is a non-invasive imaging modality that extends the functionality of OCT by extracting moving red blood cell signals from surrounding static biological tissues. OCTA has emerged as a valuable…

Image and Video Processing · Electrical Eng. & Systems 2023-05-04 Jinpeng Liao , Tianyu Zhang , Yilong Zhang , Chunhui Li , Zhihong Huang

Computational corrections of defocus and aberrations in optical coherence tomography (OCT) offers a promising approach to realize high-resolution imaging with deep imaging depth, but without additional high hardware costs. However, these…

Optics · Physics 2025-10-28 Shuichi Makita , Naoki Fukutake , Lida Zhu , Yoshiaki Yasuno

Intracoronary Optical Coherence Tomography (OCT) enables high-resolution visualization of coronary vessel anatomy but presents challenges due to noise, imaging artifacts, and complex tissue structures. This paper proposes a fully automated…

Computer Vision and Pattern Recognition · Computer Science 2026-02-20 Amal Lahchim , Lambros Athanasiou

Optical diffraction tomography (ODT) is a three-dimensional (3D) label-free imaging technique. The 3D refractive index distribution of a sample can be reconstructed from multiple two-dimensional optical field images via ODT. Herein, we…

Optics · Physics 2021-02-03 Chansuk Park , Kyeoreh Lee , Yoonseok Baek , Yongkeun Park

Fiber-form optics extends the high-resolution tomographic imaging capabilities of Optical Coherence Tomography (OCT) to the inside of the human body, i.e., endoscopic OCT. However, it still faces challenges due to the trade-off between…

Optics · Physics 2024-09-04 Chengfu Gu , Haoran Zhang , Qi Lan , Weiyi Zhang , Chang Liu , Jianlong Yang

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

Optical coherence tomography (OCT) is a noninvasive imaging modality which can be used to obtain depth images of the retina. The changing layer thicknesses can thus be quantified by analyzing these OCT images, moreover these changes have…

Computer Vision and Pattern Recognition · Computer Science 2018-03-15 Yufan He , Aaron Carass , Bruno M. Jedynak , Sharon D. Solomon , Shiv Saidha , Peter A. Calabresi , Jerry L. Prince

We propose a novel method for non-rigid 3-D motion correction of orthogonally raster-scanned optical coherence tomography angiography volumes. This is the first approach that aligns predominantly axial structural features like retinal…

Optical Coherence Tomography (OCT) provides high-resolution, 3D, and non-invasive visualization of retinal layers in vivo, serving as a critical tool for lesion localization and disease diagnosis. However, its widespread adoption is limited…

Retinal optical coherence tomography (OCT) and OCT angiography (OCTA) suffer from the degeneration of image quality due to speckle noise and bulk-motion noise, respectively. Because the cross-sectional retina has distinct features in OCT…

Image and Video Processing · Electrical Eng. & Systems 2020-02-19 Jianlong Yang , Yan Hu , Liyang Fang , Jun Cheng , Jiang Liu

Despite significant advances in artificial intelligence (AI) for computer vision, its application in medical imaging has been limited by the burden and limits of expert-generated labels. We used images from optical coherence tomography…

Computer Vision and Pattern Recognition · Computer Science 2018-02-27 Cecilia S. Lee , Ariel J. Tyring , Yue Wu , Sa Xiao , Ariel S. Rokem , Nicolaas P. Deruyter , Qinqin Zhang , Adnan Tufail , Ruikang K. Wang , Aaron Y. Lee

Optical coherence tomography (OCT) is widely used for diagnosing and monitoring retinal diseases, such as age-related macular degeneration (AMD). The segmentation of biomarkers such as layers and lesions is essential for patient diagnosis…

Computer Vision and Pattern Recognition · Computer Science 2025-09-26 Botond Fazekas , Guilherme Aresta , Philipp Seeböck , Julia Mai , Ursula Schmidt-Erfurth , Hrvoje Bogunović

Egyptian faience is a non-clay ceramic semi-transparent material, formed of a quartz core and alkali lime glaze with some cases exhibiting an interaction layer between them. Several possible glazing methods have been identified. Previous…

Popular Physics · Physics 2021-03-02 Margaret Read , Chi Shing Cheung , Haida Liang , Andrew Meek , Capucine Korenberg

Objective: The advent of Electronic Medical Records (EMR) with large electronic imaging databases along with advances in deep neural networks with machine learning has provided a unique opportunity to achieve milestones in automated image…

Machine Learning · Statistics 2016-12-16 Cecilia S. Lee , Doug M. Baughman , Aaron Y. Lee

Optical diffraction tomography (ODT) is a powerful non-invasive 3D imaging technique, but its combination with broadband light sources is difficult. In this study, we introduce ultrabroadband ODT, covering over 150 nm of visible spectral…

Optical coherence tomography (OCT) imaging is a well-known technology for visualizing retinal layers and helps ophthalmologists to detect possible diseases. Accurate and early diagnosis of common retinal diseases can prevent the patients…

Image and Video Processing · Electrical Eng. & Systems 2022-03-04 Mohammad Rahimzadeh , Mahmoud Reza Mohammadi

In optical coherence tomography (OCT), axial resolution and signal-to-noise ratio (SNR) are typically viewed as uncoupled parameters. We show that this is only true for mirror-like surfaces, and that in diffuse scattering samples such as…

Optics · Physics 2022-04-06 Danielle J. Harper , Benjamin J. Vakoc

Modern biomedical image analysis using deep learning often encounters the challenge of limited annotated data. To overcome this issue, deep generative models can be employed to synthesize realistic biomedical images. In this regard, we…

Image and Video Processing · Electrical Eng. & Systems 2026-02-23 Yuli Wu , Weidong He , Dennis Eschweiler , Ningxin Dou , Zixin Fan , Shengli Mi , Peter Walter , Johannes Stegmaier

Optical coherence tomography (OCT) is used for non-invasive diagnosis of diabetic macular edema assessing the retinal layers. In this paper, we propose a new fully convolutional deep architecture, termed ReLayNet, for end-to-end…

Computer Vision and Pattern Recognition · Computer Science 2017-07-10 Abhijit Guha Roy , Sailesh Conjeti , Sri Phani Krishna Karri , Debdoot Sheet , Amin Katouzian , Christian Wachinger , Nassir Navab