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 …

[HTML][HTML] State-of-the-art in retinal optical coherence tomography image analysis

A Baghaie, Z Yu, RM D'Souza - Quantitative imaging in medicine …, 2015 - ncbi.nlm.nih.gov
Optical coherence tomography (OCT) is an emerging imaging modality that has been widely
used in the field of biomedical imaging. In the recent past, it has found uses as a diagnostic …

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 …

Efficient reduction of speckle noise in Optical Coherence Tomography

M Szkulmowski, I Gorczynska, D Szlag… - Optics express, 2012 - opg.optica.org
Speckle pattern, which is inherent in coherence imaging, influences significantly axial and
transversal resolution of Optical Coherence Tomography (OCT) instruments. The well known …

Correlation mapping method for generating microcirculation morphology from optical coherence tomography (OCT) intensity images

E Jonathan, J Enfield, MJ Leahy - Journal of biophotonics, 2011 - Wiley Online Library
Standard optical coherence tomography (OCT) in combination with software tools can be
harnessed to generate vascular maps in vivo. In this study we have successfully combined a …

Retinal optical coherence tomography image enhancement via deep learning

KJ Halupka, BJ Antony, MH Lee, KA Lucy… - Biomedical optics …, 2018 - opg.optica.org
Optical coherence tomography (OCT) images of the retina are a powerful tool for diagnosing
and monitoring eye disease. However, they are plagued by speckle noise, which reduces …

Three dimensional data-driven multi scale atomic representation of optical coherence tomography

R Kafieh, H Rabbani, I Selesnick - IEEE transactions on …, 2014 - ieeexplore.ieee.org
In this paper, we discuss about applications of different methods for decomposing a signal
over elementary waveforms chosen in a family called a dictionary (atomic representations) …

DeSpecNet: a CNN-based method for speckle reduction in retinal optical coherence tomography images

F Shi, N Cai, Y Gu, D Hu, Y Ma, Y Chen… - Physics in Medicine & …, 2019 - iopscience.iop.org
Speckle is a major quality degrading factor in optical coherence tomography (OCT) images.
In this work we propose a new deep learning network for speckle reduction in retinal OCT …

Probability-based non-local means filter for speckle noise suppression in optical coherence tomography images

H Yu, J Gao, A Li - Optics letters, 2016 - opg.optica.org
In this Letter, a probability-based non-local means filter is proposed for speckle reduction in
optical coherence tomography (OCT). Originally developed for additive white Gaussian …

Compressive SD-OCT: the application of compressed sensing in spectral domain optical coherence tomography

X Liu, JU Kang - Optics express, 2010 - opg.optica.org
We applied compressed sensing (CS) to spectral domain optical coherence tomography
(SD OCT) and studied its effectiveness. We tested the CS reconstruction by randomly …