English
Related papers

Related papers: Efficient and high accuracy 3-D OCT angiography mo…

200 papers

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

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) is one of the most important retinal imaging technique. However, involuntary motion artifacts still pose a major challenge in OCT imaging that compromises the quality of downstream analysis, such as…

Image and Video Processing · Electrical Eng. & Systems 2023-05-31 Yiqian Wang , Alexandra Warter , Melina Cavichini , Varsha Alex , Dirk-Uwe G. Bartsch , William R. Freeman , Truong Q. Nguyen , Cheolhong An

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 3D modality widely used in ophthalmology for imaging the retina. Achieving automated, anatomically coherent retinal layer segmentation on OCT is important for the detection and monitoring…

Image and Video Processing · Electrical Eng. & Systems 2022-10-26 Botond Fazekas , Guilherme Aresta , Dmitrii Lachinov , Sophie Riedl , Julia Mai , Ursula Schmidt-Erfurth , Hrvoje Bogunovic

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

The highest three-dimensional (3D) resolution possible in in-vivo retinal imaging is achieved by combining optical coherence tomography (OCT) and adaptive optics (AO). However, this combination brings important limitations, such as small…

Medical Physics · Physics 2020-10-21 Jules Scholler , Kassandra Groux , Kate Grieve , Claude Boccara , Pedro Mecê

Layer segmentation is important to quantitative analysis of retinal optical coherence tomography (OCT). Recently, deep learning based methods have been developed to automate this task and yield remarkable performance. However, due to the…

Image and Video Processing · Electrical Eng. & Systems 2023-12-07 Hong Liu , Dong Wei , Donghuan Lu , Xiaoying Tang , Liansheng Wang , Yefeng Zheng

Purpose. Localizing structures and estimating the motion of a specific target region are common problems for navigation during surgical interventions. Optical coherence tomography (OCT) is an imaging modality with a high spatial and…

Image and Video Processing · Electrical Eng. & Systems 2020-04-22 Marcel Bengs , Nils Gessert , Matthias Schlüter , Alexander Schlaefer

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…

Automated surface segmentation of retinal layer is important and challenging in analyzing optical coherence tomography (OCT). Recently, many deep learning based methods have been developed for this task and yield remarkable performance.…

Image and Video Processing · Electrical Eng. & Systems 2022-03-07 Hong Liu , Dong Wei , Donghuan Lu , Yuexiang Li , Kai Ma , Liansheng Wang , Yefeng Zheng

Optical coherence tomography (OCT) is a non-invasive volumetric imaging modality with high spatial and temporal resolution. For imaging larger tissue structures, OCT probes need to be moved to scan the respective area. For handheld…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Suresh Guttikonda , Maximilian Neidhardt , Vidas Raudonis , Alexander Schlaefer

Optical coherence tomography (OCT) is a non-invasive, micrometer-scale imaging modality that has become a clinical standard in ophthalmology. By raster-scanning the retina, sequential cross-sectional image slices are acquired to generate…

Image and Video Processing · Electrical Eng. & Systems 2024-02-20 Stefan Ploner , Jungeun Won , Julia Schottenhamml , Jessica Girgis , Kenneth Lam , Nadia Waheed , James Fujimoto , Andreas Maier

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

Optical Coherence Tomography Angiography (OCTA) and its derived en-face projections provide high-resolution visualization of the retinal and choroidal vasculature, which is critical for the rapid and accurate diagnosis of retinal diseases.…

Computer Vision and Pattern Recognition · Computer Science 2025-09-10 Pooya Khosravi , Kun Han , Anthony T. Wu , Arghavan Rezvani , Zexin Feng , Xiaohui Xie

Registration of longitudinal optical coherence tomography (OCT) images assists disease monitoring and is essential in image fusion applications. Mouse retinal OCT images are often collected for longitudinal study of eye disease models such…

Computer Vision and Pattern Recognition · Computer Science 2024-02-13 Xin Tian , Nantheera Anantrasirichai , Lindsay Nicholson , Alin Achim

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…

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

Medical image segmentation is an important task for computer aided diagnosis. Pixelwise manual annotations of large datasets require high expertise and is time consuming. Conventional data augmentations have limited benefit by not fully…

Image and Video Processing · Electrical Eng. & Systems 2020-04-28 Dwarikanath Mahapatra , Behzad Bozorgtabar , Jean-Philippe Thiran , Ling Shao

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
‹ Prev 1 2 3 10 Next ›