ArticleJournal of the Royal Society, Interface2013
In vivo optic nerve head biomechanics: performance testing of a three-dimensional tracking algorithm.
Article in Journal of the Royal Society, Interface, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- In vivo characterization of the deformation of the human optic nerve head using optical coherence tomography and digital volume correlation.Acta biomaterialia · 2019Trial
- The Strain Response to Intraocular Pressure Decrease in the Lamina Cribrosa of Patients with Glaucoma.Ophthalmology. GlaucomaTrial
- Gaze-Induced Optic Nerve Head Deformations Are Greater in High Myopia and Strains Increase With Axial Length.Investigative ophthalmology & visual science · 2025Article
- Strain heterogeneity measurement of mouse sclera by stereo digital image correlation under inflation testing.Optics and lasers in engineering · 2025Article
- Ciliary muscle traction during accommodation is able to induce optic nerve head deformation.Eye (London, England) · 2025Article
- Proposing a Methodology for Axon-Centric Analysis of IOP-Induced Mechanical Insult.Investigative ophthalmology & visual science · 2024Article
- Dense optic nerve head deformation estimated using CNN as a structural biomarker of glaucoma progression.Eye (London, England) · 2023Article
- Choroidal Vessel and Stromal Volumetric Analysis After Photodynamic Therapy or Focal Laser for Central Serous Chorioretinopathy.Translational vision science & technology · 2023Article
- Optical Coherence Tomography Angiography Demonstrates Strain and Volume Effects on Optic Disk and Peripapillary Vasculature Caused by Horizontal Duction.Current eye research · 2023Article
- Comprehensive Review on the Use of Artificial Intelligence in Ophthalmology and Future Research Directions.Diagnostics (Basel, Switzerland) · 2022Review
- Comparing Acute IOP-Induced Lamina Cribrosa Deformations Premortem and Postmortem.Translational vision science & technology · 2022Article
- Quantitative Microstructural Analysis of Cellular and Tissue Remodeling in Human Glaucoma Optic Nerve Head.Investigative ophthalmology & visual science · 2022Article
- A high-accuracy and high-efficiency digital volume correlation method to characterize in-vivo optic nerve head biomechanics from optical coherence tomography.Acta biomaterialia · 2022Article
- Strain by virtual extensometers and video-imaging optical coherence tomography as a repeatable metric for IOP-Induced optic nerve head deformations.Experimental eye research · 2021Article
- Effect of Changing Heart Rate on the Ocular Pulse and Dynamic Biomechanical Behavior of the Optic Nerve Head.Investigative ophthalmology & visual science · 2020Article
- The inflation response of the human lamina cribrosa and sclera: Analysis of deformation and interaction.Acta biomaterialia · 2020Article
- In Vivo Measurements of Prelamina and Lamina Cribrosa Biomechanical Properties in Humans.Investigative ophthalmology & visual science · 2020Article
- Scleral structure and biomechanics.Progress in retinal and eye research · 2020Review
- Racioethnic differences in the biomechanical response of the lamina cribrosa.Acta biomaterialia · 2019Article
- In vivo optic nerve head mechanical response to intraocular and cerebrospinal fluid pressure: imaging protocol and quantification method.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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