Literature DB >> 23842365

Automated segmentation and characterization of choroidal vessels in high-penetration optical coherence tomography.

Lian Duan1, Young-Joo Hong, Yoshiaki Yasuno.   

Abstract

An automated choroidal vessel segmentation and quantification method for high-penetration optical coherence tomography (OCT) was developed for advanced visualization and evaluation of the choroidal vasculature. This method uses scattering OCT volumes for the segmentation of choroidal vessels by using a multi-scale adaptive threshold. The segmented choroidal vessels are then processed by multi-scale morphological analysis to quantify the vessel diameters. The three-dimensional structure and the diameter distribution of the choroidal vasculature were then obtained. The usefulness of the method was then evaluated by analyzing the OCT volumes of normal subjects.

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Year:  2013        PMID: 23842365     DOI: 10.1364/OE.21.015787

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  18 in total

1.  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

2.  Choroidal structures in polypoidal choroidal vasculopathy, neovascular age-related maculopathy, and healthy eyes determined by binarization of swept source optical coherence tomographic images.

Authors:  Malini Bakthavatsalam; Danny Siu-Chun Ng; Frank Hiu-Ping Lai; Fang Yao Tang; Mårten Erik Brelén; Chi Wai Tsang; Timothy Yuk-Yau Lai; Carol Yim-Lui Cheung
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2017-02-01       Impact factor: 3.117

3.  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

4.  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

5.  Pixel-wise segmentation of severely pathologic retinal pigment epithelium and choroidal stroma using multi-contrast Jones matrix optical coherence tomography.

Authors:  Shinnosuke Azuma; Shuichi Makita; Arata Miyazawa; Yasushi Ikuno; Masahiro Miura; Yoshiaki Yasuno
Journal:  Biomed Opt Express       Date:  2018-06-06       Impact factor: 3.732

6.  A novel and faster method of manual grading to measure choroidal thickness using optical coherence tomography.

Authors:  K X Cheong; L W Lim; K Z Li; C S Tan
Journal:  Eye (Lond)       Date:  2017-10-20       Impact factor: 3.775

7.  Segmentation and quantification of blood vessels for OCT-based micro-angiograms using hybrid shape/intensity compounding.

Authors:  Siavash Yousefi; Ting Liu; Ruikang K Wang
Journal:  Microvasc Res       Date:  2014-10-02       Impact factor: 3.514

8.  Multi-scale and -contrast sensorless adaptive optics optical coherence tomography.

Authors:  Myeong Jin Ju; Destiny Hsu; Ji Hoon Kwon; Daniel J Wahl; Stefano Bonora; Yifan Jian; Shuichi Makita; Yoshiaki Yasuno; Marinko V Sarunic
Journal:  Quant Imaging Med Surg       Date:  2019-05

9.  Hybrid Three-Dimensional Visualization of Choroidal Vasculature Imaged by Swept-Source Optical Coherence Tomography.

Authors:  Tetsuju Sekiryu; Yukinori Sugano; Akira Ojima; Takafumi Mori; Minoru Furuta; Masahiro Okamoto; Satoshi Eifuku
Journal:  Transl Vis Sci Technol       Date:  2019-10-22       Impact factor: 3.283

10.  Three-dimensional segmentation and depth-encoded visualization of choroidal vasculature using swept-source optical coherence tomography.

Authors:  Hao Zhou; Tommaso Bacci; K Bailey Freund; Ruikang K Wang
Journal:  Exp Biol Med (Maywood)       Date:  2021-07-14
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