Journal article
Choroidal thickness maps from spectral domain and swept source optical coherence tomography: algorithmic versus ground truth annotation
The British journal of ophthalmology, Vol.100(10), pp.1372-1376
10/2016
DOI: 10.1136/bjophthalmol-2015-307985
PMCID: PMC5774332
PMID: 26769670
Abstract
The purpose of the study was to create a standardised protocol for choroidal thickness measurements and to determine whether choroidal thickness measurements made on images obtained by spectral domain optical coherence tomography (SD-OCT) and swept source (SS-) OCT from patients with healthy retina are interchangeable when performed manually or with an automatic algorithm. 36 grid cell measurements for choroidal thickness for each volumetric scan were obtained, which were measured for SD-OCT and SS-OCT with two methods on 18 eyes of healthy volunteers. Manual segmentation by experienced retinal graders from the Vienna Reading Center and automated segmentation on >6300 images of the choroid from both devices were statistically compared. Model-based comparison between SD-OCT/SS-OCT showed a systematic difference in choroidal thickness of 16.26±0.725 μm (p<0.001) for manual segmentation and 21.55±0.725 μm (p<0.001) for automated segmentation. Comparison of automated with manual segmentations revealed small differences in thickness of -0.68±0.513 μm (p=0.1833). The correlation coefficients for SD-OCT and SS-OCT measures within eyes were 0.975 for manual segmentation and 0.955 for automatic segmentation. Choroidal thickness measurements of SD-OCT and SS-OCT indicate that these two devices are interchangeable with a trend of choroidal thickness measurements being slightly thicker on SD-OCT with limited clinical relevance. Use of an automated algorithm to segment choroidal thickness was validated in healthy volunteers.
Details
- Title: Subtitle
- Choroidal thickness maps from spectral domain and swept source optical coherence tomography: algorithmic versus ground truth annotation
- Creators
- Ana-Maria Philip - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of ophthalmology, Medical University of Vienna, Vienna, AustriaBianca S Gerendas - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of ophthalmology, Medical University of Vienna, Vienna, AustriaLi Zhang - Iowa Institute for Biomedical Imaging, L300 Pappajohn Biomedical Discovery Building, Iowa City, Iowa, USAHenrik Faatz - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of ophthalmology, Medical University of Vienna, Vienna, AustriaDominika Podkowinski - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of ophthalmology, Medical University of Vienna, Vienna, AustriaHrvoje Bogunovic - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of ophthalmology, Medical University of Vienna, Vienna, Austria Iowa Institute for Biomedical Imaging, L300 Pappajohn Biomedical Discovery Building, Iowa City, Iowa, USAMichael D Abramoff - Iowa Institute for Biomedical Imaging, L300 Pappajohn Biomedical Discovery Building, Iowa City, Iowa, USA Stephen R Wynn Institute for Vision Research, Iowa City, Iowa, USAMichael Hagmann - Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, AustriaRoland Leitner - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of ophthalmology, Medical University of Vienna, Vienna, AustriaChristian Simader - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of ophthalmology, Medical University of Vienna, Vienna, AustriaMilan Sonka - Iowa Institute for Biomedical Imaging, L300 Pappajohn Biomedical Discovery Building, Iowa City, Iowa, USASebastian M Waldstein - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of ophthalmology, Medical University of Vienna, Vienna, AustriaUrsula Schmidt-Erfurth - Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of ophthalmology, Medical University of Vienna, Vienna, Austria
- Resource Type
- Journal article
- Publication Details
- The British journal of ophthalmology, Vol.100(10), pp.1372-1376
- DOI
- 10.1136/bjophthalmol-2015-307985
- PMID
- 26769670
- PMCID
- PMC5774332
- NLM abbreviation
- Br J Ophthalmol
- ISSN
- 0007-1161
- eISSN
- 1468-2079
- Publisher
- England
- Grant note
- R01 EB004640 / NIBIB NIH HHS R01 EY018853 / NEI NIH HHS R01 EY019112 / NEI NIH HHS P30 CA086862 / NCI NIH HHS
- Language
- English
- Date published
- 10/2016
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9983806270902771
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