PMID- 23349432
OWN - NLM
STAT- MEDLINE
DCOM- 20130429
LR  - 20220408
IS  - 1552-5783 (Electronic)
IS  - 0146-0404 (Linking)
VI  - 54
IP  - 3
DP  - 2013 Mar 7
TI  - Semiautomated segmentation of the choroid in spectral-domain optical coherence 
      tomography volume scans.
PG  - 1722-9
LID - 10.1167/iovs.12-10578 [doi]
AB  - PURPOSE: Changes in the choroid, in particular its thickness, are believed to be 
      of importance in the pathophysiology of a number of retinal diseases. The purpose 
      of this study was to adapt the graph search algorithm to semiautomatically 
      identify the choroidal layer in spectral-domain optical coherence tomography 
      (SD-OCT) volume scans and compare its performance to manual delineation. METHODS: 
      A graph-based multistage segmentation approach was used to identify the choroid, 
      defined as the layer between the outer border of the RPE band and the 
      choroid-sclera junction. Thirty randomly chosen macular SD-OCT (1024 x 37 x 496 
      voxels, Heidelberg Spectralis) volumes were obtained from 20 healthy subjects and 
      10 subjects with non-neovascular AMD. The positions of the choroidal borders and 
      resultant thickness were compared with consensus manual delineation performed by 
      two graders. For consistency of the statistical analysis, the left eyes were 
      horizontally flipped in the x-direction. RESULTS: The algorithm-defined position 
      of the outer RPE border and choroid-sclera junction was consistent with the 
      manual delineation, resulting in highly correlated choroidal thickness values 
      with r = 0.91 to 0.93 for the healthy subjects and 0.94 for patients with 
      non-neovascular AMD. Across all cases, the mean and absolute differences between 
      the algorithm and manual segmentation for the outer RPE boundary was -0.74 +/- 3.27 
      mum and 3.15 +/- 3.07 mum; and for the choroid-sclera junction was -3.90 +/- 15.93 mum 
      and 21.39 +/- 10.71 mum. CONCLUSIONS: Excellent agreement was observed between the 
      algorithm and manual choroidal segmentation in both normal eyes and those with 
      non-neovascular AMD. The choroid was thinner in AMD eyes. Semiautomated choroidal 
      thickness calculation may be useful for large-scale quantitative studies of the 
      choroid.
FAU - Hu, Zhihong
AU  - Hu Z
AD  - Doheny Eye Institute, University of Southern California, Los Angeles, CA, USA.
FAU - Wu, Xiaodong
AU  - Wu X
FAU - Ouyang, Yanwei
AU  - Ouyang Y
FAU - Ouyang, Yanling
AU  - Ouyang Y
FAU - Sadda, Srinivas R
AU  - Sadda SR
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20130307
PL  - United States
TA  - Invest Ophthalmol Vis Sci
JT  - Investigative ophthalmology & visual science
JID - 7703701
SB  - IM
MH  - Adult
MH  - Aged
MH  - Aged, 80 and over
MH  - *Algorithms
MH  - Choroid/*pathology
MH  - Humans
MH  - Macular Degeneration/*pathology
MH  - Middle Aged
MH  - Tomography, Optical Coherence/*methods
MH  - Young Adult
EDAT- 2013/01/26 06:00
MHDA- 2013/04/30 06:00
CRDT- 2013/01/26 06:00
PHST- 2013/01/26 06:00 [entrez]
PHST- 2013/01/26 06:00 [pubmed]
PHST- 2013/04/30 06:00 [medline]
AID - iovs.12-10578 [pii]
AID - 10.1167/iovs.12-10578 [doi]
PST - epublish
SO  - Invest Ophthalmol Vis Sci. 2013 Mar 7;54(3):1722-9. doi: 10.1167/iovs.12-10578.