Past, present and future role of retinal imaging in neurodegenerative disease

AH Kashani, S Asanad, JW Chan, MB Singer… - Progress in retinal and …, 2021 - Elsevier
Retinal imaging technology is rapidly advancing and can provide ever-increasing amounts
of information about the structure, function and molecular composition of retinal tissue in …

Speckle noise reduction in optical coherence tomography images based on edge-sensitive cGAN

Y Ma, X Chen, W Zhu, X Cheng, D Xiang… - Biomedical optics …, 2018 - opg.optica.org
Speckle noise in optical coherence tomography (OCT) impairs both the visual quality and
the performance of automatic analysis. Edge preservation is an important issue for speckle …

Motion correction in optical coherence tomography volumes on a per A-scan basis using orthogonal scan patterns

MF Kraus, B Potsaid, MA Mayer, R Bock… - Biomedical optics …, 2012 - opg.optica.org
High speed Optical Coherence Tomography (OCT) has made it possible to rapidly capture
densely sampled 3D volume data. One key application is the acquisition of high quality in …

Retinal OCT image registration: methods and applications

L Pan, X Chen - IEEE Reviews in Biomedical Engineering, 2021 - ieeexplore.ieee.org
Retinal image registration is a critical task in the diagnosis and treatment of various eye
diseases. And as a relatively new imaging method, optical coherence tomography (OCT) …

Fast acquisition and reconstruction of optical coherence tomography images via sparse representation

L Fang, S Li, RP McNabb, Q Nie… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
In this paper, we present a novel technique, based on compressive sensing principles, for
reconstruction and enhancement of multi-dimensional image data. Our method is a major …

Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography

FG Venhuizen, B Van Ginneken, B Liefers… - Biomedical optics …, 2018 - opg.optica.org
We developed a deep learning algorithm for the automatic segmentation and quantification
of intraretinal cystoid fluid (IRC) in spectral domain optical coherence tomography (SD-OCT) …

Sparsity based denoising of spectral domain optical coherence tomography images

L Fang, S Li, Q Nie, JA Izatt, CA Toth… - Biomedical optics …, 2012 - opg.optica.org
In this paper, we make contact with the field of compressive sensing and present a
development and generalization of tools and results for reconstructing irregularly sampled …

Speckle-modulating optical coherence tomography in living mice and humans

O Liba, MD Lew, ED SoRelle, R Dutta, D Sen… - Nature …, 2017 - nature.com
Optical coherence tomography (OCT) is a powerful biomedical imaging technology that
relies on the coherent detection of backscattered light to image tissue morphology in vivo. As …

A deep learning approach to denoise optical coherence tomography images of the optic nerve head

SK Devalla, G Subramanian, TH Pham, X Wang… - Scientific reports, 2019 - nature.com
Optical coherence tomography (OCT) has become an established clinical routine for the in
vivo imaging of the optic nerve head (ONH) tissues, that is crucial in the diagnosis and …

Automated segmentation of intraretinal cystoid fluid in optical coherence tomography

GR Wilkins, OM Houghton… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Cystoid macular edema (CME) is observed in a variety of ocular disorders and is strongly
associated with vision loss. Optical coherence tomography (OCT) provides excellent …