Literature DB >> 23060139

Automated segmentation of the choroid from clinical SD-OCT.

Li Zhang1, Kyungmoo Lee, Meindert Niemeijer, Robert F Mullins, Milan Sonka, Michael D Abràmoff.   

Abstract

PURPOSE: We developed and evaluated a fully automated 3-dimensional (3D) method for segmentation of the choroidal vessels, and quantification of choroidal vasculature thickness and choriocapillaris-equivalent thickness of the macula, and evaluated repeat variability in normal subjects using standard clinically available spectral domain optical coherence tomography (SD-OCT).
METHODS: A total of 24 normal subjects was imaged twice, using clinically available, 3D SD-OCT. A novel, fully-automated 3D method was used to segment and visualize the choroidal vasculature in macular scans. Local choroidal vasculature and choriocapillaris-equivalent thicknesses were determined. Reproducibility on repeat imaging was analyzed using overlapping rates, Dice coefficient, and root mean square coefficient of variation (CV) of choroidal vasculature and choriocapillaris-equivalent thicknesses.
RESULTS: For the 6 × 6 mm(2) macula-centered region as depicted by the SD-OCT, average choroidal vasculature thickness in normal subjects was 172.1 μm (95% confidence interval [CI] 163.7-180.5 μm) and average choriocapillaris-equivalent thickness was 23.1 μm (95% CI 20.0-26.2 μm). Overlapping rates were 0.79 ± 0.07 and 0.75 ± 0.06, Dice coefficient was 0.78 ± 0.08, CV of choroidal vasculature thickness was 8.0% (95% CI 6.3%-9.4%), and of choriocapillaris-equivalent thickness was 27.9% (95% CI 21.0%-33.3%).
CONCLUSIONS: Fully automated 3D segmentation and quantitative analysis of the choroidal vasculature and choriocapillaris-equivalent thickness demonstrated excellent reproducibility in repeat scans (CV 8.0%) and good reproducibility of choriocapillaris-equivalent thickness (CV 27.9%). Our method has the potential to improve the diagnosis and management of patients with eye diseases in which the choroid is affected.

Entities:  

Mesh:

Year:  2012        PMID: 23060139      PMCID: PMC3490539          DOI: 10.1167/iovs.12-10311

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  24 in total

1.  Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images.

Authors:  Y Sato; S Nakajima; N Shiraga; H Atsumi; S Yoshida; T Koller; G Gerig; R Kikinis
Journal:  Med Image Anal       Date:  1998-06       Impact factor: 8.545

2.  Enhanced depth imaging spectral-domain optical coherence tomography.

Authors:  Richard F Spaide; Hideki Koizumi; Maria C Pozzoni; Maria C Pozonni
Journal:  Am J Ophthalmol       Date:  2008-07-17       Impact factor: 5.258

3.  Patterns of the choriocapillaris. A method to study the choroidal vasculature of the enucleated human eye.

Authors:  S Yoneya; M O Tso; K Shimizu
Journal:  Int Ophthalmol       Date:  1983-02       Impact factor: 2.031

4.  Morphometric analysis of Bruch's membrane, the choriocapillaris, and the choroid in aging.

Authors:  R S Ramrattan; T L van der Schaft; C M Mooy; W C de Bruijn; P G Mulder; P T de Jong
Journal:  Invest Ophthalmol Vis Sci       Date:  1994-05       Impact factor: 4.799

5.  Indocyanine green angiographically well-defined choroidal neovascularization: angiographic patterns obtained using the scanning laser ophthalmoscope.

Authors:  U Schneider; H Kuck; W Inhoffen; I Kreissig
Journal:  Ger J Ophthalmol       Date:  1995-03

6.  Intraretinal layer segmentation of macular optical coherence tomography images using optimal 3-D graph search.

Authors:  Mona K Garvin; Michael D Abramoff; Randy Kardon; Stephen R Russell; Xiaodong Wu; Milan Sonka
Journal:  IEEE Trans Med Imaging       Date:  2008-10       Impact factor: 10.048

Review 7.  Current concepts in the pathogenesis of age-related macular degeneration.

Authors:  Marco A Zarbin
Journal:  Arch Ophthalmol       Date:  2004-04

Review 8.  Central serous chorioretinopathy.

Authors:  Maria Wang; Inger Christine Munch; Pascal W Hasler; Christian Prünte; Michael Larsen
Journal:  Acta Ophthalmol       Date:  2007-07-28       Impact factor: 3.761

Review 9.  Indocyanine green angiography in chorioretinal diseases: indications and interpretation: an evidence-based update.

Authors:  Paulo E Stanga; Jennifer I Lim; Peter Hamilton
Journal:  Ophthalmology       Date:  2003-01       Impact factor: 12.079

10.  Choroidal thickness, vascular hyperpermeability, and complement factor H in age-related macular degeneration and polypoidal choroidal vasculopathy.

Authors:  Pichai Jirarattanasopa; Sotaro Ooto; Isao Nakata; Akitaka Tsujikawa; Kenji Yamashiro; Akio Oishi; Nagahisa Yoshimura
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-06-14       Impact factor: 4.799

View more
  59 in total

Review 1.  Enhanced depth imaging-OCT of the choroid: a review of the current literature.

Authors:  H Laviers; H Zambarakji
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2014-11-04       Impact factor: 3.117

2.  Combined 60° Wide-Field Choroidal Thickness Maps and High-Definition En Face Vasculature Visualization Using Swept-Source Megahertz OCT at 1050 nm.

Authors:  Kathrin J Mohler; Wolfgang Draxinger; Thomas Klein; Jan Philip Kolb; Wolfgang Wieser; Christos Haritoglou; Anselm Kampik; James G Fujimoto; Aljoscha S Neubauer; Robert Huber; Armin Wolf
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-10       Impact factor: 4.799

3.  Quantitative analysis of retinal layer optical intensities on three-dimensional optical coherence tomography.

Authors:  Xinjian Chen; Ping Hou; Chao Jin; Weifang Zhu; Xiaohong Luo; Fei Shi; Milan Sonka; Haoyu Chen
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-10-21       Impact factor: 4.799

4.  Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT.

Authors:  Li Zhang; Gabriëlle H S Buitendijk; Kyungmoo Lee; Milan Sonka; Henriët Springelkamp; Albert Hofman; Johannes R Vingerling; Robert F Mullins; Caroline C W Klaver; Michael D Abràmoff
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-05       Impact factor: 4.799

5.  Attenuation correction assisted automatic segmentation for assessing choroidal thickness and vasculature with swept-source OCT.

Authors:  Hao Zhou; Zhongdi Chu; Qinqin Zhang; Yining Dai; Giovanni Gregori; Philip J Rosenfeld; Ruikang K Wang
Journal:  Biomed Opt Express       Date:  2018-11-08       Impact factor: 3.732

6.  Robust deep learning method for choroidal vessel segmentation on swept source optical coherence tomography images.

Authors:  Xiaoxiao Liu; Lei Bi; Yupeng Xu; Dagan Feng; Jinman Kim; Xun Xu
Journal:  Biomed Opt Express       Date:  2019-03-05       Impact factor: 3.732

7.  Towards label-free 3D segmentation of optical coherence tomography images of the optic nerve head using deep learning.

Authors:  Sripad Krishna Devalla; Tan Hung Pham; Satish Kumar Panda; Liang Zhang; Giridhar Subramanian; Anirudh Swaminathan; Chin Zhi Yun; Mohan Rajan; Sujatha Mohan; Ramaswami Krishnadas; Vijayalakshmi Senthil; John Mark S De Leon; Tin A Tun; Ching-Yu Cheng; Leopold Schmetterer; Shamira Perera; Tin Aung; Alexandre H Thiéry; Michaël J A Girard
Journal:  Biomed Opt Express       Date:  2020-10-15       Impact factor: 3.732

8.  Automated segmentation of the choroid in EDI-OCT images with retinal pathology using convolution neural networks.

Authors:  Min Chen; Jiancong Wang; Ipek Oguz; Brian L VanderBeek; James C Gee
Journal:  Fetal Infant Ophthalmic Med Image Anal (2017)       Date:  2017-09-09

Review 9.  Complement activation and choriocapillaris loss in early AMD: implications for pathophysiology and therapy.

Authors:  S Scott Whitmore; Elliott H Sohn; Kathleen R Chirco; Arlene V Drack; Edwin M Stone; Budd A Tucker; Robert F Mullins
Journal:  Prog Retin Eye Res       Date:  2014-12-05       Impact factor: 21.198

10.  Validation of Macular Choroidal Thickness Measurements from Automated SD-OCT Image Segmentation.

Authors:  Michael D Twa; Krystal L Schulle; Stephanie J Chiu; Sina Farsiu; David A Berntsen
Journal:  Optom Vis Sci       Date:  2016-11       Impact factor: 1.973

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.