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Tracking the pose of instruments is a central problem in image-guided surgery. For microscopic scenarios, optical coherence tomography (OCT) is increasingly used as an imaging modality. OCT is suitable for accurate pose estimation due to…

Computer Vision and Pattern Recognition · Computer Science 2018-03-28 Nils Gessert , Matthias Schlüter , Alexander Schlaefer

Tracking and localizing objects is a central problem in computer-assisted surgery. Optical coherence tomography (OCT) can be employed as an optical tracking system, due to its high spatial and temporal resolution. Recently, 3D convolutional…

Image and Video Processing · Electrical Eng. & Systems 2020-07-03 Marcel Bengs , Nils Gessert , Alexander Schlaefer

Forecasting motion of a specific target object is a common problem for surgical interventions, e.g. for localization of a target region, guidance for surgical interventions, or motion compensation. Optical coherence tomography (OCT) is an…

Image and Video Processing · Electrical Eng. & Systems 2020-06-02 Marcel Bengs , Nils Gessert , Alexander Schlaefer

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

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) 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

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

Optical Coherence Tomography (OCT) is an emerging medical imaging modality for luminal organ diagnosis. The non-constant rotation speed of optical components in the OCT catheter tip causes rotational distortion in OCT volumetric scanning.…

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

Optical coherence tomography (OCT) captures cross-sectional data and is used for the screening, monitoring, and treatment planning of retinal diseases. Technological developments to increase the speed of acquisition often results in systems…

Image and Video Processing · Electrical Eng. & Systems 2023-01-03 Timothy T. Yu , Da Ma , Jayden Cole , Myeong Jin Ju , Mirza F. Beg , Marinko V. Sarunic

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…

The treatment of age-related macular degeneration (AMD) requires continuous eye exams using optical coherence tomography (OCT). The need for treatment is determined by the presence or change of disease-specific OCT-based biomarkers.…

Image and Video Processing · Electrical Eng. & Systems 2026-03-12 Timo Kepp , Helge Sudkamp , Claus von der Burchard , Hendrik Schenke , Peter Koch , Gereon Hüttmann , Johann Roider , Mattias P. Heinrich , Heinz Handels

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

Segmentation of retinal layers from Optical Coherence Tomography (OCT) volumes is a fundamental problem for any computer aided diagnostic algorithm development. This requires preprocessing steps such as denoising, region of interest…

Computer Vision and Pattern Recognition · Computer Science 2018-06-26 Karthik Gopinath , Samrudhdhi B Rangrej , Jayanthi Sivaswamy

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) can provide high-resolution cross-sectional images for analyzing superficial plaques in coronary arteries. Commonly, plaque characterization using intra-coronary OCT images is performed manually by expert…

Computer Vision and Pattern Recognition · Computer Science 2018-07-11 Shenghua He , Jie Zheng , Akiko Maehara , Gary Mintz , Dalin Tang , Mark Anastasio , Hua Li

In this paper, we revisit the problem of 3D human modeling from two orthogonal silhouettes of individuals (i.e., front and side views). Different from our prior work, a supervised learning approach based on convolutional neural network…

Computer Vision and Pattern Recognition · Computer Science 2023-02-14 Bin Liu , Xiuping Liu , Zhixin Yang , Charlie C. L. Wang

In microsurgery, lasers have emerged as precise tools for bone ablation. A challenge is automatic control of laser bone ablation with 4D optical coherence tomography (OCT). OCT as high resolution imaging modality provides volumetric images…

Computer Vision and Pattern Recognition · Computer Science 2019-02-20 Max-Heinrich Laves , Lüder A. Kahrs , Tobias Ortmaier

Purpose: To develop a deep learning approach to digitally-stain optical coherence tomography (OCT) images of the optic nerve head (ONH). Methods: A horizontal B-scan was acquired through the center of the ONH using OCT (Spectralis) for 1…

Conventional Fourier-domain Optical Coherence Tomography (FD-OCT) systems depend on resampling into wavenumber (k) domain to extract the depth profile. This either necessitates additional hardware resources or amplifies the existing…

Optics · Physics 2025-09-24 Maryam Viqar , Erdem Sahin , Elena Stoykova , Violeta Madjarova
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