Visualization of the three-dimensional topography of the optic nerve head through a passive stereo vision model

1999 ◽  
Vol 8 (1) ◽  
pp. 92 ◽  
Author(s):  
Sunanda Mitra
Keyword(s):  
Optic Nerve ◽  
Stereo Vision ◽  
Optic Nerve Head ◽  
Three Dimensional ◽  
Passive Stereo

scholarly journals Three Dimensional Evaluation of Posterior Pole and Optic Nerve Head in Tilted Disc

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Yong Chan Kim ◽  
Ji-Sun Moon ◽  
Hae-Young Lopilly Park ◽  
Chan Kee Park
Keyword(s):  
Optic Nerve ◽  
Optic Nerve Head ◽  
Three Dimensional ◽  
Posterior Pole ◽  
Tilted Disc

scholarly journals Three-Dimensional Histomorphometry of the Normal and Early Glaucomatous Monkey Optic Nerve Head: Neural Canal and Subarachnoid Space Architecture

2007 ◽  
Vol 48 (7) ◽  
pp. 3195 ◽  
Author(s):  
J. Crawford Downs ◽  
Hongli Yang ◽  
Christopher Girkin ◽  
Lisandro Sakata ◽  
Anthony Bellezza ◽  
...  
Keyword(s):  
Optic Nerve ◽  
Optic Nerve Head ◽  
Subarachnoid Space ◽  
Three Dimensional ◽  
Neural Canal ◽  
Space Architecture

scholarly journals In vivo optic nerve head biomechanics: performance testing of a three-dimensional tracking algorithm

2013 ◽  
Vol 10 (87) ◽  
pp. 20130459 ◽  
Author(s):  
Michaël J. A. Girard ◽  
Nicholas G. Strouthidis ◽  
Adrien Desjardins ◽  
Jean Martial Mari ◽  
C. Ross Ethier
Keyword(s):  
Optic Nerve ◽  
Optic Nerve Head ◽  
Three Dimensional ◽  
Performance Testing ◽  
Speckle Noise ◽  
Tracking Algorithm ◽  
Signal Averaging ◽  
Tissue Tracking ◽  
Tissue Deformations

Measurement of optic nerve head (ONH) deformations could be useful in the clinical management of glaucoma. Here, we propose a novel three-dimensional tissue-tracking algorithm designed to be used in vivo . We carry out preliminary verification of the algorithm by testing its accuracy and its robustness. An algorithm based on digital volume correlation was developed to extract ONH tissue displacements from two optical coherence tomography (OCT) volumes of the ONH (undeformed and deformed). The algorithm was tested by applying artificial deformations to a baseline OCT scan while manipulating speckle noise, illumination and contrast enhancement. Tissue deformations determined by our algorithm were compared with the known (imposed) values. Errors in displacement magnitude, orientation and strain decreased with signal averaging and were 0.15 µm, 0.15° and 0.0019, respectively (for optimized algorithm parameters). Previous computational work suggests that these errors are acceptable to provide in vivo characterization of ONH biomechanics. Our algorithm is robust to OCT speckle noise as well as to changes in illumination conditions, and increasing signal averaging can produce better results. This algorithm has potential be used to quantify ONH three-dimensional strains in vivo , of benefit in the diagnosis and identification of risk factors in glaucoma.

scholarly journals Ultrahigh-Speed Optical Coherence Tomography for Three-Dimensional and En Face Imaging of the Retina and Optic Nerve Head

2008 ◽  
Vol 49 (11) ◽  
pp. 5103 ◽  
Author(s):  
Vivek J. Srinivasan ◽  
Desmond C. Adler ◽  
Yueli Chen ◽  
Iwona Gorczynska ◽  
Robert Huber ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optic Nerve ◽  
Optic Nerve Head ◽  
Three Dimensional ◽  
Optical Coherence ◽  
En Face ◽  
En Face Imaging
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