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Forward-viewing endoscopic optical coherence tomography (OCT) provides 3D imaging in vivo, and can be combined with widefield fluorescence imaging by use of a double-clad fiber. However, it is technically challenging to build a…

In OCT angiography (OCTA), decorrelation computation has been widely used as a local motion index to identify dynamic flow from static tissues, but its dependence on SNR severely degrades the vascular visibility, particularly in low- SNR…

Medical Physics · Physics 2019-04-16 Luzhe Huang , Yiming Fu , Ruixiang Chen , Shanshan Yang , Haixia Qiu , Xining Wu , Shiyong Zhao , Ying Gu , Peng Li

Recent advancements in retinal surgery have paved the way for a modern operating room equipped with a surgical robot, a microscope, and intraoperative optical coherence tomography (iOCT)- a depth sensor widely used in retinal surgery.…

In intracoronary optical coherence tomography (OCT), blood residues and gas bubbles cause attenuation artifacts that can obscure critical vessel structures. The presence and severity of these artifacts may warrant re-acquisition, prolonging…

The monocular depth estimation task has recently revealed encouraging prospects, especially for the autonomous driving task. To tackle the ill-posed problem of 3D geometric reasoning from 2D monocular images, multi-frame monocular methods…

Computer Vision and Pattern Recognition · Computer Science 2023-05-15 Zizhang Wu , Zhuozheng Li , Zhi-Gang Fan , Yunzhe Wu , Yuanzhu Gan , Jian Pu , Xianzhi Li

Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of…

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

This study is to demonstrate deep learning for automated artery-vein (AV) classification in optical coherence tomography angiography (OCTA). The AV-Net, a fully convolutional network (FCN) based on modified U-shaped CNN architecture,…

Image and Video Processing · Electrical Eng. & Systems 2020-06-09 Minhaj Alam , David Le , Taeyoon Son , Jennifer I. Lim , Xincheng Yao

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

Segmentation of indicated targets aids in the precise analysis of optical coherence tomography angiography (OCTA) samples. Existing segmentation methods typically perform on 2D projection targets, making it challenging to capture the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Xinrun Chen , Chengliang Wang , Haojian Ning , Mengzhan Zhang , Mei Shen , Shiying Li

Recently, diabetic retinopathy (DR) screening utilizing ultra-wide optical coherence tomography angiography (UW-OCTA) has been used in clinical practices to detect signs of early DR. However, developing a deep learning-based DR analysis…

Image and Video Processing · Electrical Eng. & Systems 2022-10-19 Gitaek Kwon , Eunjin Kim , Sunho Kim , Seongwon Bak , Minsung Kim , Jaeyoung Kim

In optical coherence tomography (OCT) volumes of retina, the sequential acquisition of the individual slices makes this modality prone to motion artifacts, misalignments between adjacent slices being the most noticeable. Any distortion in…

Machine Learning · Computer Science 2020-07-06 Yasmeen M. George , Suman Sedai , Bhavna J. Antony , Hiroshi Ishikawa , Gadi Wollstein , Joel S. Schuman , Rahil Garnavi

Optical coherence tomography (OCT) is an important interferometric diagnostic technique which provides cross-sectional views of the subsurface microstructure of biological tissues. However, the imaging quality of high-speed OCT is limited…

Computer Vision and Pattern Recognition · Computer Science 2015-03-13 Liheng Bian , Jinli Suo , Feng Chen , Qionghai Dai

In today's clinics, a cellular-resolution view of the cornea can be achieved only with an in vivo confocal microscope (IVCM) in contact with the eye. Here, we present a common-path Full-field/Spectral-domain OCT microscope (FF/SD OCT),…

We describe a new approach to automated Glaucoma detection in 3D Spectral Domain Optical Coherence Tomography (OCT) optic nerve scans. First, we gathered a unique and diverse multi-ethnic dataset of OCT scans consisting of glaucoma and…

We demonstrate that simultaneous application of optical clearing agents (OCAs) and complex wavefront shaping in optical coherence tomography (OCT) can provide significant enhancement of the penetration depth and imaging quality. OCA reduces…

Optical coherence tomography (OCT) microscope (OCM) uses a high-numerical-aperture objective to achieve cellular-level lateral resolution. However, its practical imaging depth range is limited by the depth of focus (DOF). Although…

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

Glaucoma is one of the leading causes of blindness worldwide and Optical Coherence Tomography (OCT) is the quintessential imaging technique for its detection. Unlike most of the state-of-the-art studies focused on glaucoma detection, in…

Image and Video Processing · Electrical Eng. & Systems 2021-06-28 Gabriel García , Rocío del Amor , Adrián Colomer , Rafael Verdú-Monedero , Juan Morales-Sánchez , Valery Naranjo

We present a filtering procedure based on singular value decomposition to remove artifacts arising from sample motion during dynamic full field OCT acquisitions. The presented method succeeded in removing artifacts created by environmental…

Image and Video Processing · Electrical Eng. & Systems 2019-07-01 Jules Scholler
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