Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images

M.K Garvin; M.D Abramoff; Xiaodong Wu; S.R Russell; T.L Burns; M Sonka

doi:10.1109/TMI.2009.2016958

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Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images

Journal article

Open access

Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images

M.K Garvin, M.D Abramoff, Xiaodong Wu, S.R Russell, T.L Burns and M Sonka

IEEE Transactions on Medical Imaging, Vol.28(9), pp.1436-1447

09/2009

DOI: 10.1109/TMI.2009.2016958

PMCID: PMC2911837

PMID: 19278927

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Abstract

With the introduction of spectral-domain optical coherence tomography (OCT), much larger image datasets are routinely acquired compared to what was possible using the previous generation of time-domain OCT. Thus, the need for 3-D segmentation methods for processing such data is becoming increasingly important. We report a graph-theoretic segmentation method for the simultaneous segmentation of multiple 3-D surfaces that is guaranteed to be optimal with respect to the cost function and that is directly applicable to the segmentation of 3-D spectral OCT image data. We present two extensions to the general layered graph segmentation method: the ability to incorporate varying feasibility constraints and the ability to incorporate true regional information. Appropriate feasibility constraints and cost functions were learned from a training set of 13 spectral-domain OCT images from 13 subjects. After training, our approach was tested on a test set of 28 images from 14 subjects. An overall mean unsigned border positioning error of 5.69 plusmn 2.41 mum was achieved when segmenting seven surfaces (six layers) and using the average of the manual tracings of two ophthalmologists as the reference standard. This result is very comparable to the measured interobserver variability of 5.71 plusmn 1.98 mum.

Oncology

Ophthalmology

spectral-domain

Biomedical optical imaging

optical coherence tomography

Time domain analysis

three-dimensional (3-D) graph search

Image segmentation

retina

Tomography

Cities and towns

Cost function

segmentation

Optical sensors

Testing

Biomedical imaging

Details

Title: Subtitle: Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images
Creators: M.K Garvin - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
M.D Abramoff
Xiaodong Wu - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
S.R Russell
T.L Burns
M Sonka - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
Resource Type: Journal article
Publication Details: IEEE Transactions on Medical Imaging, Vol.28(9), pp.1436-1447
DOI: 10.1109/TMI.2009.2016958
PMID: 19278927
PMCID: PMC2911837
NLM abbreviation: IEEE Trans Med Imaging
ISSN: 0278-0062
eISSN: 1558-254X
Publisher: IEEE
Language: English
Date published: 09/2009
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Epidemiology; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9983806266802771

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