504 Hits in 7.2 sec

3D Automatic Segmentation Method for Retinal Optical Coherence Tomography Volume Data Using Boundary Surface Enhancement [article]

Yankui Sun, Tian Zhang, Yue Zhao, Yufan He
2015 arXiv   pre-print
Thus, there is a critical need for the development of 3D segmentation methods for processing these data. We present here a novel 3D automatic segmentation method for retinal OCT volume data.  ...  Our method can extract retinal layer boundary surfaces sequentially with a decreasing search region of volume data.  ...  Lee used multi-scale 3D graph search for segmenting the optic nerve head [21] .  ... 
arXiv:1508.00966v1 fatcat:6leguqs2jzbkpa56qrwtrbitfy

A 3D Segmentation Method for Retinal Optical Coherence Tomography Volume Data [article]

Yankui Sun, Tian Zhang
2012 arXiv   pre-print
We present a new 3D segmentation method for retinal OCT volume data, which generates an enhanced volume data by using pixel intensity, boundary position information, intensity changes on both sides of  ...  Thus, the need for 3-D segmentation methods for processing such data is becoming increasingly important.  ...  ., Ltd. for providing us with important clinical retinal OCT data which is the foundation of our work.  ... 
arXiv:1204.6385v1 fatcat:h2zz57bwmbdihkkx5hdynpu66u

Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review [article]

Rita Marques, Danilo Andrade De Jesus, João Barbosa Breda, Jan Van Eijgen, Ingeborg Stalmans, Theo van Walsum and Stefan Klein and Pedro G. Vaz and Luisa Sánchez Brea
2021 arXiv   pre-print
For each algorithm, the methods, the size and type of dataset used for validation, and the respective results were carefully analyzed.  ...  The advent of optical coherence tomography (OCT) has enabled the evaluation of novel optic nerve head parameters, namely the depth and curvature of the lamina cribrosa (LC).  ...  Automated segmentation of neural canal opening and op- tic cup in 3d spectral optical coherence tomog- raphy volumes of the optic nerve head.  ... 
arXiv:2109.02322v1 fatcat:rvfqfobnlbgj7agpm3axl6hule

A Review of Algorithms for Segmentation of Retinal Image Data Using Optical Coherence Tomography [chapter]

Delia Cabrera
2011 Image Segmentation  
This approach also used A Review of Algorithms for Segmentation of Retinal Image Data Using Optical Coherence Tomography 35 a multiscale 3D graph search method to identify automatically  ...  of Retinal Image Data Using Optical Coherence Tomography A Review of Algorithms for Segmentation of Retinal Image Data Using Optical Coherence Tomography Kajic, V. , 2010, 3DOCT Table  ... 
doi:10.5772/15833 fatcat:z5au7rekmrgkjhfzd7kpyl35ja

Evaluation of Retinal and Choroidal Thickness by Swept-Source Optical Coherence Tomography: Repeatability and Assessment of Artifacts

Kaweh Mansouri, Felipe A. Medeiros, Andrew J. Tatham, Nicholas Marchase, Robert N. Weinreb
2014 American Journal of Ophthalmology  
PURPOSE-To determine the repeatability of automated retinal and choroidal thickness measurements with swept-source optical coherence tomography (SS OCT) and the frequency and type of scan artifacts.  ...  RESULTS-ICCs for choroidal measurements were 0.92, 0.98, 0.80, and 0.91, respectively, for 3D macula, 3D optic disc, radial, and line scans.  ...  FIGURE 4 . 4 Demonstration of retinal segmentation failure with the 12-mm line scan protocol using swept-source optical coherence tomography (SS OCT).  ... 
doi:10.1016/j.ajo.2014.02.008 pmid:24531020 pmcid:PMC5596889 fatcat:zipphn5lxndstmimq4ysmvlk5u

Shared-hole graph search with adaptive constraints for 3D optic nerve head optical coherence tomography image segmentation

Kai Yu, Fei Shi, Enting Gao, Weifang Zhu, Haoyu Chen, Xinjian Chen
2018 Biomedical Optics Express  
With the proposed method, both the optic disc boundary and nine retinal surfaces can be accurately segmented in SD-OCT images.  ...  Optic nerve head (ONH) is a crucial region for glaucoma detection and tracking based on spectral domain optical coherence tomography (SD-OCT) images.  ...  The average running time of the algorithm for optic disc boundary detection and 9 layers segmentation in one 3D volume data was 263.9 seconds.  ... 
doi:10.1364/boe.9.000962 pmid:29541497 pmcid:PMC5846542 fatcat:i7ovbutviffnzosqhnfcps3cqi

Three-dimensional visualization of choroidal vessels by using standard and ultra-high resolution scattering optical coherence angiography

Youngjoo Hong, Shuichi Makita, Masahiro Yamanari, Masahiro Miura, Soohyun Kim, Toyohiko Yatagai, Yoshiaki Yasuno
2007 Optics Express  
In this paper, we have demonstrated the use of this method for in vivo human retinal imaging.  ...  Scattering optical coherence angiography (S-OCA) is a noninvasive imaging method that is based on the high-speed standard 800nm band spectral-domain optical coherence tomography (SD-OCT) and the ultra-high-resolution  ...  This research has been partially supported by a Grant-in-Aid for Scientific Research 18360029 from the Japan Society for the Promotion of Science (JSPS), Japan Science and Technology Agency, and the Special  ... 
doi:10.1364/oe.15.007538 pmid:19547079 fatcat:jpum2esg55ckfif4xzoa63rdlu

Segmentation of Intra-retinal Layers in 3D Optic Nerve Head Images [chapter]

Chuang Wang, Yaxing Wang, Djibril Kaba, Haogang Zhu, You Lv, Zidong Wang, Xiaohui Liu, Yongmin Li
2015 Lecture Notes in Computer Science  
The segmentation results show that our method can effectively delineate the surfaces of the retinal tissues in the noisy 3D optic nerve head images.  ...  Spectral-Domain Optical Coherence Tomography (SD-OCT) is a non-invasive imaging modality, which provides retinal structures with unprecedented detail in 3D.  ...  The authors would like to thank Quan Wang for providing the source of the MRF method.  ... 
doi:10.1007/978-3-319-21969-1_28 fatcat:uid5yip2wfhjzpikregvfvmcju

Handheld optical coherence tomography angiography

Jianlong Yang, Liang Liu, J. Peter Campbell, David Huang, Gangjun Liu
2017 Biomedical Optics Express  
We developed a handheld optical coherence tomography angiography (OCTA) system using a 100-kHz swept-source laser. The handheld probe weighs 0.4 kg and measures 20.6 × 12.8 × 4.6 cm 3 .  ...  The system has dedicated features for handheld operation. The probe is equipped with a mini iris camera for easy alignment.  ...  Sonka, "Intraretinal layer segmentation of macular optical coherence tomography images using optimal 3-D graph search," IEEE Trans. Med. Imaging 27(10), 1495-1505 (2008). 37. K. Li, X. Wu, D. Z.  ... 
doi:10.1364/boe.8.002287 pmid:28736672 pmcid:PMC5516829 fatcat:iq7uxb7uprc5bpdzuuj535dux4

Automated segmentation of retinal layer boundaries and capillary plexuses in wide-field optical coherence tomographic angiography

Yukun Guo, Acner Camino, Miao Zhang, Jie Wang, David Huang, Thomas Hwang, Yali Jia
2018 Biomedical Optics Express  
Advances in the retinal layer segmentation of structural optical coherence tomography (OCT) images have allowed the separation of capillary plexuses in OCT angiography (OCTA).  ...  A guided bidirectional graph search method consisting of an improvement of our previous segmentation algorithm was used to search for the precise boundaries.  ...  DeBuc, "A review of algorithms for segmentation of retinal image data using optical coherence tomography," in Image Segmentation, P.-G. Ho, ed. (InTech, 2011), pp. 15-54. 11. D. Koozekanani, K.  ... 
doi:10.1364/boe.9.004429 pmid:30615747 pmcid:PMC6157796 fatcat:k4y2j2f2vfgxncbft3h4gb5cwu

Automated lamina cribrosa microstructural segmentation in optical coherence tomography scans of healthy and glaucomatous eyes

Zach Nadler, Bo Wang, Gadi Wollstein, Jessica E. Nevins, Hiroshi Ishikawa, Larry Kagemann, Ian A. Sigal, R. Daniel Ferguson, Daniel X. Hammer, Ireneusz Grulkowski, Jonathan J. Liu, Martin F. Kraus (+4 others)
2013 Biomedical Optics Express  
We demonstrate an automated segmentation method for in-vivo 3D optical coherence tomography (OCT) imaging of the lamina cribrosa (LC).  ...  Automated segmentation of in-vivo 3D LC OCT microstructure performed comparably to manual segmentation and is useful for investigative research and in clinical quantification of the LC.  ...  Pittsburgh, PA); Research to Prevent Blindness (New York, NY); German Research Foundation DFG-HO-1791/11-1, DFG Training Group 1773 "Heterogeneous Image Systems" and Erlangen Graduate School in Advanced Optical  ... 
doi:10.1364/boe.4.002596 pmid:24298418 pmcid:PMC3829553 fatcat:74nlwnpoyfd6xa25f4blj36erq

Real-Time Automatic Segmentation of Optical Coherence Tomography Volume Data of the Macular Region

Jing Tian, Boglárka Varga, Gábor Márk Somfai, Wen-Hsiang Lee, William E. Smiddy, Delia Cabrera DeBuc, Daniel L Rubin
2015 PLoS ONE  
In this work, we have developed an automatic algorithm, OCTRIMA 3D (OCT Retinal IMage Analysis 3D), that could segment OCT volume data in the macular region fast and accurately.  ...  Optical coherence tomography (OCT) is a high speed, high resolution and non-invasive imaging modality that enables the capturing of the 3D structure of the retina.  ...  Thanks to Sandra Pineda, B.S. for her assistance with the recruitment of healthy subjects and clinical coordination. Author Contributions  ... 
doi:10.1371/journal.pone.0133908 pmid:26258430 pmcid:PMC4530974 fatcat:yxyymscuyvdf5khui2l2hux6na

Automated segmentation and enhancement of optical coherence tomography-acquired images of rodent brain

Utku Baran, Wenbin Zhu, Woo June Choi, Michael Omori, Wenri Zhang, Nabil J. Alkayed, Ruikang K. Wang
2016 Journal of Neuroscience Methods  
Background-Optical coherence tomography (OCT) is a non-invasive optical imaging method that has proven useful in various fields such as ophthalmology, dermatology and neuroscience.  ...  New Method-We describe simple image processing methods that allow automatic segmentation and enhancement of OCT images of rodent brain.  ...  Acknowledgments The authors would like to thank Tracy Petrie, Wei Wei and Kirsti Golgotiu for their help with the system setup and useful discussions.  ... 
doi:10.1016/j.jneumeth.2016.06.014 pmid:27328369 pmcid:PMC4981518 fatcat:2lzh4ihu7bdtnlwlq5l6ntcona

Fast Retinal Segmentation Based on the Wave Algorithm

Shiliang Lou, Xiaodong Chen, Xiaoyan Han, Jing Liu, Yi Wang, Huaiyu Cai
2020 IEEE Access  
The retinal layer segmentation technique of optical coherence tomography (OCT) data is essential for the diagnosis of ophthalmic and systemic diseases.  ...  When the method is applied to the retinal layer segmentation of an OCT image, the method first detects the boundary area of the retinal layer according to the wave potential energy equation and then uses  ...  Regarding the 3D graph theory method, the 3D optimal surface segmentation method (3D-GT) proposed by Song [6] is used as the representative comparison algorithm.  ... 
doi:10.1109/access.2020.2981206 fatcat:p4fl62ygjjcupb73vu2tgr5vbq

An Approach to the Quantitative Assessment of Retinal Layer Distortions and Subretinal Fluid in SD-OCT Images

Melinda Katona, László G. Nyúl
2017 Acta Cybernetica  
A modern tool for age-related macular degeneration (AMD) investigation is Optical Coherence Tomography (OCT), which can produce high resolution cross-sectional images of retinal layers.  ...  We present our results using a set of SD-OCT images. The quantitative information can also be visualized in an anatomical context for visual assessment.  ...  Attila Kovács for providing the OCT data sets and for their medical advice. The authors would also like to thank Dr.  ... 
doi:10.14232/actacyb.23.2.2017.11 fatcat:wns6iar6wrhxzfc65qfmeisw54
« Previous Showing results 1 — 15 out of 504 results