We overview the existing OCT work, especially the practical aspects of it. We create a novel algorithm for 3D OCT segmentation with the goals of speed and/or accuracy while remaining flexible in the design and implementation for future extensions and improvements. The document at this point is a running draft being iteratively “developed ” as a progress report as the work and survey advance. It contains the review and summarization of select OCT works, the design and implementation of the OCTMARF experimentation application and some results. ar X iv:1 2
This report introduces a new framework for segmentation of 3D raster data. Segmentation is formalize...
Surfaces in 3D are often represented by polygonal meshes and point clouds obtained from 3D modeling ...
Abstract—We build on recent fast and accurate 3-D re-construction techniques to segment objects duri...
<p>(a) Cross section of one B-scan; (b) Top view; (c) Cross section perpendicular to B-scan; (d) 3D ...
<p>(a) Cross section of one B-scan; (b) Top view; (c) Cross section perpendicular to B-scan; (d) 3D ...
Optical coherence tomography (OCT) is a recently established imaging technique to describe different...
A) Main steps of the segmentation algorithm. The operations presented in square blocks are always pe...
This report reviews selected image binarization and segmentation methods that have been proposed and...
Optical coherence tomography (OCT) is a high speed, high resolution and non-invasive imag-ing modali...
Obtaining quantitative geometry of the anterior segment of the eye, generally from Optical Coherence...
<div><p>Optical coherence tomography (OCT) is a high speed, high resolution and non-invasive imaging...
Optical coherence tomography (OCT) is a high speed, high resolution and non-invasive imaging modalit...
<p>(A) The image of a healthy macula scanned by the Stratus OCT “Macular Thickness Map” protocol. (B...
Modern measurement equipment delivers more detailed data and faster data with each generation. These...
Optical coherence tomography (OCT) has revolutionized ophthalmology since its invention around 25 ye...
This report introduces a new framework for segmentation of 3D raster data. Segmentation is formalize...
Surfaces in 3D are often represented by polygonal meshes and point clouds obtained from 3D modeling ...
Abstract—We build on recent fast and accurate 3-D re-construction techniques to segment objects duri...
<p>(a) Cross section of one B-scan; (b) Top view; (c) Cross section perpendicular to B-scan; (d) 3D ...
<p>(a) Cross section of one B-scan; (b) Top view; (c) Cross section perpendicular to B-scan; (d) 3D ...
Optical coherence tomography (OCT) is a recently established imaging technique to describe different...
A) Main steps of the segmentation algorithm. The operations presented in square blocks are always pe...
This report reviews selected image binarization and segmentation methods that have been proposed and...
Optical coherence tomography (OCT) is a high speed, high resolution and non-invasive imag-ing modali...
Obtaining quantitative geometry of the anterior segment of the eye, generally from Optical Coherence...
<div><p>Optical coherence tomography (OCT) is a high speed, high resolution and non-invasive imaging...
Optical coherence tomography (OCT) is a high speed, high resolution and non-invasive imaging modalit...
<p>(A) The image of a healthy macula scanned by the Stratus OCT “Macular Thickness Map” protocol. (B...
Modern measurement equipment delivers more detailed data and faster data with each generation. These...
Optical coherence tomography (OCT) has revolutionized ophthalmology since its invention around 25 ye...
This report introduces a new framework for segmentation of 3D raster data. Segmentation is formalize...
Surfaces in 3D are often represented by polygonal meshes and point clouds obtained from 3D modeling ...
Abstract—We build on recent fast and accurate 3-D re-construction techniques to segment objects duri...