Three-Dimensional Segmentation of Retinal Vessels in Optical Coherence Tomography with the Help of Scanning Laser Ophthalmoscopy
Journal of Ophthalmic and Optometric Sciences,
Vol. 2 No. 4 (2018),
23 September 2018
,
Page 18-23
https://doi.org/10.22037/joos.v2i4.29942
Abstract
Purpose: To evaluate a new approach based on luminance changes by combining the scanning laser ophthalmoscopy and optical coherence tomography imaging techniques to acheive 3D segmentation of the retinal vessels and improve the retinal vasculature imaging.
Methods: A multifaceted process for the 3D segmentation of retinal blood vessels in optical coherence tomography slices of fundus ophthalmic images with the help of scanning laser ophthalmoscopy images was devised. The proposed algorithm has two distinct clauses, which include 2D segmentation of the retinal blood vessels and three-dimensional segmentation of these vessels based on the calculation of the 2D features of the blood vessels.
Results: Our method for three-dimensional segmentation of retinal vessels in optical coherence tomography images with the help of scanning laser ophthalmoscopy imaging achieved a better reconstruction of retinal vessels in optical coherence tomography image.
Conclussion: Our method was able to improve the imaging of retinal vesels. Further studies in the field of retinal imaging are recommended to achieve better imaging of retinal vesels.
Keywords: Tomography; Optical coherence; ophthalmoscopy; Retinal vessels; Imaging.
How to Cite
References
Montero JA, Ruiz-Moreno JM. Optical coherence tomography characterisation of idiopathic central serous chorioretinopathy. Br J Ophthalmol. 2005;89(5):562-4.
Gabriele ML, Wollstein G, Ishikawa H, Kagemann L, Xu J, Folio LS, et al. Optical coherence tomography: history, current status, and laboratory work. Invest Ophthalmol Vis Sci. 2011;52(5):2425‐36.
Gao SS, Jia Y, Zhang M, Su JP, Liu G, Hwang TS, et al. Optical Coherence Tomography Angiography. Invest Ophthalmol Vis Sci. 2016;57(9):OCT27-36.
Bhende M, Shetty S, Parthasarathy MK, Ramya S. Optical coherence tomography: A guide to interpretation of common macular diseases. Indian J Ophthalmol. 2018;66(1):20‐35.
Kafieh R, Rabbani H, Kermani S. A review of algorithms for segmentation of optical coherence tomography from retina. J Med Signals Sens. 2013;3(1):45-60.
Puliafito CA, Hee MR, Lin CP, Reichel E, Schuman JS, Duker JS, et al. Imaging of macular diseases with optical coherence tomography. Ophthalmology. 1995;102(2):217-29.
Schmitt JM, Optical Coherence Tomography (OCT): A Review. IEEE J Sel Top Quantum Electron. 1999;5(4):1205-14.
Martinez-Perez ME, Hughes AD, Thom SA, Bharath AA, Parker KH. Segmentation of blood vessels from red-free and fluorescein retinal images. Med Image Anal. 2007;11(1):47-61.
Ruminski D, Sikorski BL, Bukowska D, Szkulmowski M, Krawiec K, Malukiewicz G, et al. OCT angiography by absolute intensity difference applied to normal and diseased human retinas. Biomed Opt Express. 2015;6(8):2738‐54.
Srinivasan VJ, Radhakrishnan H, Lo EH, Mandeville ET, Jiang JY, Barry S, et al. OCT methods for capillary velocimetry. Biomed Opt Express. 2012;3(3):612-29.
Ang M, Baskaran M, Werkmeister RM, Chua J, Schmidl D, Aranha Dos Santos V, et al. Anterior segment optical coherence tomography. Prog Retin Eye Res. 2018;66:132-56.
Kipli K, Hoque ME, Lim LT, Mahmood MH, Sahari SK, Sapawi R, et al. A Review on the Extraction of Quantitative Retinal Microvascular Image Feature. Comput Math Methods Med. 2018;2018:4019538.
Abràmoff MD, Garvin MK, Sonka M. Retinal imaging and image analysis. IEEE Rev Biomed Eng. 2010;3:169‐208.
Campbell JP, Zhang M, Hwang TS, Bailey ST, Wilson DJ, Jia Y, et al. Detailed Vascular Anatomy of the Human Retina by Projection-Resolved Optical Coherence Tomography Angiography. Sci Rep. 2017;7:42201.
Ishibazawa A, Mehta N, Sorour O, et al. Accuracy and Reliability in Differentiating Retinal Arteries and Veins Using Widefield En Face OCT Angiography Translational Vision Science & Technology, 2019, 8.3: 60.
Liew G, Wang JJ, Mitchell P, Wong TY. Retinal vascular imaging: a new tool in microvascular disease research. Circ Cardiovasc Imaging. 2008;1(2):156-61.
Köse C, Sevik U, Gençalioğlu O. Automatic segmentation of age-related macular degeneration in retinal fundus images. Comput Biol Med. 2008;38(5):611-9.
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