PMID- 34157370
OWN - NLM
STAT- MEDLINE
DCOM- 20210823
LR  - 20220802
IS  - 1872-678X (Electronic)
IS  - 0165-0270 (Print)
IS  - 0165-0270 (Linking)
VI  - 360
DP  - 2021 Aug 1
TI  - Automated segmentation of choroidal layers from 3-dimensional macular optical 
      coherence tomography scans.
PG  - 109267
LID - S0165-0270(21)00202-8 [pii]
LID - 10.1016/j.jneumeth.2021.109267 [doi]
AB  - BACKGROUND: Changes in choroidal thickness are associated with various ocular 
      diseases, and the choroid can be imaged using spectral-domain optical coherence 
      tomography (SD-OCT) and enhanced depth imaging OCT (EDI-OCT). NEW METHOD: Eighty 
      macular SD-OCT volumes from 80 patients were obtained using the Zeiss Cirrus 
      machine. Eleven additional control subjects had two Cirrus scans done in one 
      visit along with enhanced depth imaging (EDI-OCT) using the Heidelberg Spectralis 
      machine. To automatically segment choroidal layers from the OCT volumes, our 
      graph-theoretic approach was utilized. The segmentation results were compared 
      with reference standards from two independent graders, and the accuracy of 
      automated segmentation was calculated using unsigned/signed border 
      positioning/thickness errors and Dice similarity coefficient (DSC). The 
      repeatability and reproducibility of our choroidal thicknesses were determined by 
      intraclass correlation coefficient (ICC), coefficient of variation (CV), and 
      repeatability coefficient (RC). RESULTS: The mean unsigned/signed border 
      positioning errors for the choroidal inner and outer surfaces are 3.39 +/- 1.26 microm 
      (mean +/- standard deviation)/- 1.52 +/- 1.63 microm and 16.09 +/- 6.21 microm/4.73 +/- 9.53 microm, 
      respectively. The mean unsigned/signed choroidal thickness errors are 
      16.54 +/- 6.47 microm/6.25 +/- 9.91 microm, and the mean DSC is 0.949 +/- 0.025. The ICC (95% 
      confidence interval), CV, RC values are 0.991 (0.977-0.997), 2.48%, 14.25 microm for 
      the repeatability and 0.991 (0.977-0.997), 2.49%, 14.30 microm for the 
      reproducibility studies, respectively. COMPARISON WITH EXISTING METHOD(S): The 
      proposed method outperformed our previous method using choroidal vessel 
      segmentation and inter-grader variability. CONCLUSIONS: This automated 
      segmentation method can reliably measure choroidal thickness using different OCT 
      platforms.
CI  - Copyright (c) 2021 Elsevier B.V. All rights reserved.
FAU - Lee, Kyungmoo
AU  - Lee K
AD  - Iowa Institute for Biomedical Imaging, University of Iowa, Iowa City, IA, United 
      States; Department of Electrical and Computer Engineering, University of Iowa, 
      Iowa City, IA, United States.
FAU - Warren, Alexis K
AU  - Warren AK
AD  - Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and 
      Clinics, Iowa City, IA, United States.
FAU - Abramoff, Michael D
AU  - Abramoff MD
AD  - Iowa Institute for Biomedical Imaging, University of Iowa, Iowa City, IA, United 
      States; Department of Electrical and Computer Engineering, University of Iowa, 
      Iowa City, IA, United States; Department of Ophthalmology and Visual Sciences, 
      University of Iowa Hospitals and Clinics, Iowa City, IA, United States; 
      Department of Biomedical Engineering, University of Iowa, Iowa City, IA, United 
      States; Institute for Vision Research, University of Iowa, Iowa City, IA, United 
      States; Veterans Affairs Medical Center, Iowa City, IA, United States; IDx, 
      Coralville, IA, United States.
FAU - Wahle, Andreas
AU  - Wahle A
AD  - Iowa Institute for Biomedical Imaging, University of Iowa, Iowa City, IA, United 
      States; Department of Electrical and Computer Engineering, University of Iowa, 
      Iowa City, IA, United States.
FAU - Whitmore, S Scott
AU  - Whitmore SS
AD  - Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and 
      Clinics, Iowa City, IA, United States; Institute for Vision Research, University 
      of Iowa, Iowa City, IA, United States.
FAU - Han, Ian C
AU  - Han IC
AD  - Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and 
      Clinics, Iowa City, IA, United States; Institute for Vision Research, University 
      of Iowa, Iowa City, IA, United States.
FAU - Fingert, John H
AU  - Fingert JH
AD  - Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and 
      Clinics, Iowa City, IA, United States; Institute for Vision Research, University 
      of Iowa, Iowa City, IA, United States.
FAU - Scheetz, Todd E
AU  - Scheetz TE
AD  - Iowa Institute for Biomedical Imaging, University of Iowa, Iowa City, IA, United 
      States; Department of Ophthalmology and Visual Sciences, University of Iowa 
      Hospitals and Clinics, Iowa City, IA, United States; Department of Biomedical 
      Engineering, University of Iowa, Iowa City, IA, United States; Institute for 
      Vision Research, University of Iowa, Iowa City, IA, United States.
FAU - Mullins, Robert F
AU  - Mullins RF
AD  - Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and 
      Clinics, Iowa City, IA, United States; Institute for Vision Research, University 
      of Iowa, Iowa City, IA, United States.
FAU - Sonka, Milan
AU  - Sonka M
AD  - Iowa Institute for Biomedical Imaging, University of Iowa, Iowa City, IA, United 
      States; Department of Electrical and Computer Engineering, University of Iowa, 
      Iowa City, IA, United States; Department of Ophthalmology and Visual Sciences, 
      University of Iowa Hospitals and Clinics, Iowa City, IA, United States.
FAU - Sohn, Elliott H
AU  - Sohn EH
AD  - Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and 
      Clinics, Iowa City, IA, United States; Institute for Vision Research, University 
      of Iowa, Iowa City, IA, United States. Electronic address: 
      Elliott.sohn@gmail.com.
LA  - eng
GR  - P30 EY025580/EY/NEI NIH HHS/United States
GR  - R01 EB004640/EB/NIBIB NIH HHS/United States
GR  - R01 EY026547/EY/NEI NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
DEP - 20210619
PL  - Netherlands
TA  - J Neurosci Methods
JT  - Journal of neuroscience methods
JID - 7905558
SB  - IM
MH  - *Choroid/diagnostic imaging
MH  - Humans
MH  - Reproducibility of Results
MH  - *Tomography, Optical Coherence
PMC - PMC8324559
MID - NIHMS1716914
COIS- Declaration of Competing Interest: Michael D. Abramoff: Personal Financial 
      Interest (IDx), Consultant (IDx), Patent (University of Iowa); Milan Sonka: 
      Patent (University of Iowa); All other authors: None
EDAT- 2021/06/23 06:00
MHDA- 2021/08/24 06:00
PMCR- 2022/08/01
CRDT- 2021/06/22 20:11
PHST- 2020/11/20 00:00 [received]
PHST- 2021/05/29 00:00 [revised]
PHST- 2021/06/17 00:00 [accepted]
PHST- 2021/06/23 06:00 [pubmed]
PHST- 2021/08/24 06:00 [medline]
PHST- 2021/06/22 20:11 [entrez]
PHST- 2022/08/01 00:00 [pmc-release]
AID - S0165-0270(21)00202-8 [pii]
AID - 10.1016/j.jneumeth.2021.109267 [doi]
PST - ppublish
SO  - J Neurosci Methods. 2021 Aug 1;360:109267. doi: 10.1016/j.jneumeth.2021.109267. 
      Epub 2021 Jun 19.