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Automated vascular segmentation on optical coherence tomography angiography (OCTA) is important for the quantitative analyses of retinal microvasculature in neuroretinal and systemic diseases. Despite recent improvements, artifacts continue…

Image and Video Processing · Electrical Eng. & Systems 2021-04-22 Yih-Cherng Lee , Ling Yeung

Optical coherence tomography (OCT) is a popular modality in ophthalmology and is also used intravascularly. Our interest in this work is OCT in the context of airway abnormalities in infants and children where the high resolution of OCT and…

Image and Video Processing · Electrical Eng. & Systems 2024-03-19 Yining Jiao , Amy Oldenburg , Yinghan Xu , Srikamal Soundararajan , Carlton Zdanski , Julia Kimbell , Marc Niethammer

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

In the analysis of optical coherence tomography angiography (OCTA) images, the operation of segmenting specific targets is necessary. Existing methods typically train on supervised datasets with limited samples (approximately a few…

Computer Vision and Pattern Recognition · Computer Science 2023-09-22 Chengliang Wang , Xinrun Chen , Haojian Ning , Shiying Li

Computed tomography (CT) has been a powerful diagnostic tool since its emergence in the 1970s. Using CT data, three-dimensional (3D) structures of human internal organs and tissues, such as blood vessels, can be reconstructed using…

Applications · Statistics 2024-04-01 Qianhan Zeng , Jing Zhou , Ying Ji , Hansheng Wang

Age-related macular degeneration (AMD) is characterized by early micro-vascular alterations that can be captured non-invasively using optical coherence tomography angiography (OCTA), yet most deep learning (DL) models rely on global…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Margalit G. Mitzner , Moinak Bhattacharya , Zhilin Zou , Chao Chen , Prateek Prasanna

Optical coherence tomography (OCT) is a micrometer-scale, volumetric imaging modality that has become a clinical standard in ophthalmology. OCT instruments image by raster-scanning a focused light spot across the retina, acquiring…

Image and Video Processing · Electrical Eng. & Systems 2022-09-16 Stefan Ploner , Siyu Chen , Jungeun Won , Lennart Husvogt , Katharina Breininger , Julia Schottenhamml , James Fujimoto , Andreas Maier

Retinal Optical Coherence Tomography Angiography (OCTA) with high-resolution is important for the quantification and analysis of retinal vasculature. However, the resolution of OCTA images is inversely proportional to the field of view at…

Image and Video Processing · Electrical Eng. & Systems 2022-07-26 Huaying Hao , Cong Xu , Dan Zhang , Qifeng Yan , Jiong Zhang , Yue Liu , Yitian Zhao

In this study, we develop a novel methodology for annotating the brain vasculature using dynamic 4D-CTA head scans. By using multiple time points from dynamic CTA acquisitions, we subtract bone and soft tissue to enhance the visualization…

Computer Vision and Pattern Recognition · Computer Science 2026-02-06 Alberto Mario Ceballos-Arroyo , Shrikanth M. Yadav , Chu-Hsuan Lin , Jisoo Kim , Geoffrey S. Young , Lei Qin , Huaizu Jiang

Segmenting specific targets or structures in optical coherence tomography angiography (OCTA) images is fundamental for conducting further pathological studies. The retinal vascular layers are rich and intricate, and such vascular with…

Image and Video Processing · Electrical Eng. & Systems 2024-04-30 Xinrun Chen , Mei Shen , Haojian Ning , Mengzhan Zhang , Chengliang Wang , Shiying Li

Optical coherence tomography (OCT) has seen widespread success as an in vivo clinical diagnostic 3D imaging modality, impacting areas including ophthalmology, cardiology, and gastroenterology. Despite its many advantages, such as high…

Blood vessel segmentation and -tracing are essential tasks in many medical imaging applications. Although numerous methods exist, the prevailing segment-then-fix paradigm is fundamentally limited regarding its suitability for modeling the…

Computer Vision and Pattern Recognition · Computer Science 2026-05-04 Rajalakshmi Palaniappan , Christoph Karg , Nemesio Navarro-Arambula , Peter Hirsch , Kristin Kraeker , Lisa Mais , Dagmar Kainmueller

Purpose: We proposed a deep convolutional neural network (CNN), named Retinal Fluid Segmentation Network (ReF-Net) to segment volumetric retinal fluid on optical coherence tomography (OCT) volume. Methods: 3 x 3-mm OCT scans were acquired…

Image and Video Processing · Electrical Eng. & Systems 2020-10-28 Yukun Guo , Tristan T. Hormel , Honglian Xiong , Jie Wang , Thomas S. Hwang , Yali Jia

Optical Coherence Tomography Angiography (OCT-A) is a non-invasive imaging technique, and has been increasingly used to image the retinal vasculature at capillary level resolution. However, automated segmentation of retinal vessels in OCT-A…

Image and Video Processing · Electrical Eng. & Systems 2020-12-10 Yuhui Ma , Huaying Hao , Huazhu Fu , Jiong Zhang , Jianlong Yang , Jiang Liu , Yalin Zheng , Yitian Zhao

Retinal neovascularization (RNV) is a vision threatening development in diabetic retinopathy (DR). Vision loss associated with RNV is preventable with timely intervention, making RNV clinical screening and monitoring a priority. Optical…

Image and Video Processing · Electrical Eng. & Systems 2026-04-01 Jinyi Hao , Jie Wang , Liqin Gao , Tristan T. Hormel , Yukun Guo , An-Lun Wu , Christina J. Flaxel , Steven T. Bailey , Kotaro Tsuboi , Thomas S. Hwang , Yali Jia

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

Optical Coherence Tomography (OCT) provides a unique ability to image the eye retina in 3D at micrometer resolution and gives ophthalmologist the ability to visualize retinal diseases such as Age-Related Macular Degeneration (AMD). While…

Computer Vision and Pattern Recognition · Computer Science 2016-10-13 Stefanos Apostolopoulos , Carlos Ciller , Sandro I. De Zanet , Sebastian Wolf , Raphael Sznitman

Cardiovascular diseases (CVD) are the leading cause of death globally. Non-invasive, cost-effective imaging techniques play a crucial role in early detection and prevention of CVD. Optical coherence tomography (OCT) has gained recognition…

Image and Video Processing · Electrical Eng. & Systems 2025-01-08 Cynthia Maldonado-Garcia , Rodrigo Bonazzola , Enzo Ferrante , Thomas H Julian , Panagiotis I Sergouniotis , Nishant Ravikumara , Alejandro F Frangi

X-ray angiography is widely used in cardiac interventions to visualize coronary vessels, assess integrity, detect stenoses and guide treatment. We propose a framework for reconstructing 3D vessel trees from biplanar X-ray images which are…

Image and Video Processing · Electrical Eng. & Systems 2025-09-18 Ethan Koland , Lin Xi , Nadeev Wijesuriya , YingLiang Ma

Optical coherence tomography angiography (OCTA) is a new imaging modality to visualize retinal microvasculature and has been readily adopted in clinics. High-resolution OCT angiograms are important to qualitatively and quantitatively…

Image and Video Processing · Electrical Eng. & Systems 2023-05-11 Yuyan Ruan , Dawei Yang , Ziqi Tang , An Ran Ran , Carol Y. Cheung , Hao Chen