Details

Title

Improving Segmentation of 3D Retina Layers Based on Graph Theory Approach for Low Quality OCT Images

Journal title

Metrology and Measurement Systems

Yearbook

2016

Volume

vol. 23

Numer

No 2

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Date

2016

Identifier

ISSN 0860-8229

References

Chiu (2010), Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation, Opt Express, 10, 19413, doi.org/10.1364/OE.18.019413 ; Teng (2013), Caserel An Open Source Software for Computer - aided Segmentation of Retinal Layers in Optical Coherence Tomography Images, Zenodo, 11, doi.org/10.5281/zenodo.17893 ; Yazdanpanah (2009), Intra - retinal Layer Segmentation in Optical Coherence Tomography Using an Active Contour Approach of the th International Conference on Medical Image Computing and Computer - Assisted Intervention : Part II Springer Verlag, Proc, 12. ; Fernandez (2005), Automated detection of retinal layer structures on optical coherence tomography images, Opt Express, 17, 10200, doi.org/10.1364/OPEX.13.010200 ; Yaqoob (2005), Spectral domain optical coherence tomography : a better OCT imaging strategy, Biotechniques, 39, 6, doi.org/10.2144/000112090 ; Fabritius (2009), Automated segmentation of the macula by optical coherence tomography, Opt Express, 17, 15659, doi.org/10.1364/OE.17.015659 ; Ehnes (2014), zu Optical Coherence Tomography Device Independent Intraretinal Layer Segmentation, OCT Trans Vis Sci Tech, 16. ; Garvin (2008), Intraretinal Layer Segmentation of Macular Optical Coherence Tomography Images Using Optimal D Graph Search on, IEEE Transactions Medical Imaging, 9, 1495, doi.org/10.1109/TMI.2008.923966 ; Szkulmowski (2013), Averaging techniques for OCT imaging, OPTICS EXPRESS, 14, 9757, doi.org/10.1364/OE.21.009757 ; Kajic (2010), Robust segmentation of intraretinal layers in the normal human fovea using a novel statistical model based on texture and shape analysis, Optics Express, 8, 14730, doi.org/10.1364/OE.18.014730 ; Ishikawa (2005), Macular segmentation with optical coherence tomography, Invest Ophthalmol Vis Sci, 46, 2012, doi.org/10.1167/iovs.04-0335 ; Dijkstra (1959), A note on two problems in connexion with graphs, Numerische Mathematik, 1, 269, doi.org/10.1007/BF01386390 ; Szkulmowski (2007), Analysis of posterior retinal layers in spectral optical coherence tomography images of the normal retina and retinal pathologies of, Journal Biomedical Optics, 13. ; Shi (2000), Normalized Cuts and Image Segmentation Pattern Anal, IEEE Trans Mach Intell, 22, 888, doi.org/10.1109/34.868688 ; Rogalski (2014), Infrared Devices And Techniques ( Revision, Metrol Meas Syst, 1, 565. ; RTVue (2014), Avanti Podręcznik użytkownika Optovue Inc, Edition. ; Stankiewicz (2014), A New OCT - based Method to Generate Virtual Maps of Vitreomacular Interface Pathologies of SPA Processing Algorithms Architectures Arrangements and Applications Conference, Proc Signal, 21, 83. ; Cha (2014), High - Accuracy Retinal Layer Segmentation for Optical Coherence Tomography Using Tracking Kernels Based on Gaussian Mixture Model of Selected Topics in, IEEE Journal Quantum Electronics, 20. ; Stein (2015), A New Quality Assessment Parameter for Optical Coherence Tomography The of, British Journal Ophthalmology, 90, 186, doi.org/10.1136/bjo.2004.059824 ; Antoniuk (2012), Non - Destructive Inspection Of Anti - Corrosion Protective Coatings Using Optical Coherent Tomography, Metrol Meas Syst, 19, 365, doi.org/10.2478/v10178-012-0031-x

DOI

10.1515/mms-2016-0016

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