Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation.
Abstract
Segmentation of anatomical and pathological structures in ophthalmic images is crucial
for the diagnosis and study of ocular diseases. However, manual segmentation is often
a time-consuming and subjective process. This paper presents an automatic approach
for segmenting retinal layers in Spectral Domain Optical Coherence Tomography images
using graph theory and dynamic programming. Results show that this method accurately
segments eight retinal layer boundaries in normal adult eyes more closely to an expert
grader as compared to a second expert grader.
Type
Journal articleSubject
AlgorithmsAutomatic Data Processing
Computers
Diagnostic Techniques, Ophthalmological
Humans
Image Processing, Computer-Assisted
Imaging, Three-Dimensional
Observer Variation
Optics and Photonics
Retina
Retinal Neurons
Software
Tomography, Optical Coherence
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https://hdl.handle.net/10161/4238Collections
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Show full item recordScholars@Duke
Sina Farsiu
Professor in the Department of Biomedical Engineering
I am the director of the Vision and Image Processing (VIP) Laboratory. Along with
my colleagues, we investigate how to improve early diagnostic methods and find new
imaging biomarkers of ocular and neurological diseases in adults (e.g. age-related
macular degeneration, diabetic retinopathy, Glaucoma, Alzheimer) and children (e.g.
retinopathy or prematurity). We also develop automatic artificial intelligence machine
learning and deep learning algorithms to detect/segment/quantify anatomical/patho
Joseph A. Izatt
Michael J. Fitzpatrick Distinguished Professor of Engineering
My research centers on the development and application of cutting-edge optical technologies
for non-invasive, high-resolution imaging and sensing in living biological tissues.
Our laboratory is recognized for foundational contributions to optical coherence-based
approaches for in vivo sub-surface microscopic tissue imaging, particularly optical
coherence tomography (OCT) which has become a standard of care in ophthalmology and
other clinical specialties. The technologies we employ includ
Cynthia Ann Toth
Joseph A.C. Wadsworth Distinguished Professor of Ophthalmology
RESEARCH INTERESTS Dr. Toth specializes in the evaluation and surgical treatment
of vitreoretinal diseases in infants, children and adults, and in novel research resulting
in the clinical application of optical coherence tomography (OCT) imaging in surgery
and at the bedside. Her clinical interests and skills include the surgical treatment
of macular diseases (such as, macular hole, epiretinal membrane and vitreomacular
traction), retinal detachment, proliferative diabetic ret
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