scholarly journals Three-dimensional curvelet-based dictionary learning for speckle noise removal of optical coherence tomography

2020 ◽  
Vol 11 (2) ◽  
pp. 586
Author(s):  
Mahad Esmaeili ◽  
Alireza Mehri Dehnavi ◽  
Fedra Hajizadeh ◽  
Hossein Rabbani
Keyword(s):  
Optical Coherence Tomography ◽  
Dictionary Learning ◽  
Three Dimensional ◽  
Speckle Noise ◽  
Noise Removal ◽  
Optical Coherence

scholarly journals A New Idea of Fast Three-Dimensional Median Filtering for Despeckling of Optical Coherence Tomography Images

2015 ◽  
Vol 20 (3) ◽  
pp. 25-34 ◽  
Author(s):  
Jarosław Gocławski ◽  
Joanna Sekulska-Nalewajko
Keyword(s):  
Optical Coherence Tomography ◽  
Graphics Processing Unit ◽  
Median Filter ◽  
Three Dimensional ◽  
Speckle Noise ◽  
Noise Removal ◽  
Processing Unit ◽  
Optical Coherence ◽  
Median Filtering ◽  
Local Intensity

Abstract Median filtering has been widely used in image processing for noise removal because it can significantly reduce the power of noise while limiting edge blurring. This filtering is still a challenging task in the case of three-dimensional images containing up to a billion of voxels, especially for large size filtering windows. The authors encountered the problem when applying median filter to speckle noise reduction in optical coherence tomography images acquired by the Spark OCT systems. In the paper a new approach to the GPU (Graphics Processing Unit) based median smoothing has been proposed, which uses two-step evaluation of local intensity histograms stored in the shared memory of a graphic device. The solution is able to output about 50 million voxels per second while processing the neighbourhood of 125 voxels by Quadro K6000 graphic card configured on the Kepler architecture.

scholarly journals Non-invasive three-dimensional thickness analysis of oral epithelium based on optical coherence tomography—development and diagnostic performance

Heliyon ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. e06645
Author(s):  
Charlotte Theresa Trebing ◽  
Sinan Sen ◽  
Stefan Rues ◽  
Christopher Herpel ◽  
Maria Schöllhorn ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Diagnostic Performance ◽  
Three Dimensional ◽  
Oral Epithelium ◽  
Optical Coherence ◽  
Non Invasive

scholarly journals Three-dimensional segmentation and depth-encoded visualization of choroidal vasculature using swept-source optical coherence tomography

2021 ◽  
pp. 153537022110285
Author(s):  
Hao Zhou ◽  
Tommaso Bacci ◽  
K Bailey Freund ◽  
Ruikang K Wang
Keyword(s):  
Optical Coherence Tomography ◽  
Three Dimensional ◽  
Age Related Macular Degeneration ◽  
Optical Coherence ◽  
Full Thickness ◽  
Swept Source ◽  
Automated Method ◽  
Choroidal Imaging ◽  
Choroidal Vasculature ◽  
Choroidal Vessels

The choroid provides nutritional support for the retinal pigment epithelium and photoreceptors. Choroidal dysfunction plays a major role in several of the most important causes of vision loss including age-related macular degeneration, myopic degeneration, and pachychoroid diseases such as central serous chorioretinopathy and polypoidal choroidal vasculopathy. We describe an imaging technique using depth-resolved swept-source optical coherence tomography (SS-OCT) that provides full-thickness three-dimensional (3D) visualization of choroidal anatomy including topographical features of individual vessels. Enrolled subjects with different clinical manifestations within the pachychoroid disease spectrum underwent 15 mm × 9 mm volume scans centered on the fovea. A fully automated method segmented the choroidal vessels using their hyporeflective lumens. Binarized choroidal vessels were rendered in a 3D viewer as a vascular network within a choroidal slab. The network of choroidal vessels was color depth-encoded with a reference to the Bruch’s membrane segmentation. Topographical features of the choroidal vasculature were characterized and compared with choroidal imaging obtained with indocyanine green angiography (ICGA) from the same subject. The en face SS-OCT projections of the larger choroid vessels closely resembled to that obtained with ICGA, with the automated SS-OCT approach proving additional depth-encoded 3D information. In 16 eyes with pachychoroid disease, the SS-OCT approach added clinically relevant structural details, including choroidal thickness and vessel depth, which the ICGA studies could not provide. Our technique appears to advance the in vivo visualization of the full-thickness choroid, successfully reveals the topographical features of choroidal vasculature, and shows potential for further quantitative analysis when compared with other choroidal imaging techniques. This improved visualization of choroidal vasculature and its 3D structure should provide an insight into choroid-related disease mechanisms as well as their responses to treatment.

Three-dimensional computational analysis of optical coherence tomography images for the detection of soft tissue sarcomas

2013 ◽  
Vol 19 (2) ◽  
pp. 021102 ◽  
Author(s):  
Shang Wang ◽  
Chih-Hao Liu ◽  
Valery P. Zakharov ◽  
Alexander J. Lazar ◽  
Raphael E. Pollock ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Soft Tissue ◽  
Computational Analysis ◽  
Three Dimensional ◽  
Soft Tissue Sarcomas ◽  
Optical Coherence

scholarly journals Visualizing dynamics of angiogenic sprouting from a three-dimensional microvasculature model using stage-top optical coherence tomography

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Haruko Takahashi ◽  
Keisuke Kato ◽  
Kenji Ueyama ◽  
Masayoshi Kobayashi ◽  
Gunwoong Baik ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Three Dimensional ◽  
Optical Coherence

Three-dimensional ophthalmic optical coherence tomography with a refraction correction algorithm

2003 ◽  
Author(s):  
Robert J. Zawadzki ◽  
Christoph Leisser ◽  
Rainer Leitgeb ◽  
Michael Pircher ◽  
Adolf F. Fercher
Keyword(s):  
Optical Coherence Tomography ◽  
Three Dimensional ◽  
Optical Coherence ◽  
Correction Algorithm
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