1. University of Queensland

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    1. Mentioned In 33 Articles

    2. Prediction of visual field defects from macular optical coherence tomography in glaucoma using cluster analysis

      Prediction of visual field defects from macular optical coherence tomography in glaucoma using cluster analysis
      Purpose To assess the accuracy of cluster analysis-based models in predicting visual field (VF) defects from macular ganglion cell-inner plexiform layer (GCIPL) measurements in glaucomatous and healthy cohorts. Methods GCIPL measurements were extracted from posterior pole optical coherence tomography (OCT), from locations corresponding to central VF test grids. Models incorporating cluster analysis methods and corrections for age and fovea to optic disc tilt were developed from 493 healthy participants, and ...
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    3. Anterior segment optical coherence tomography (AS-OCT) image analysis methods and applications: A systematic review

      Anterior segment optical coherence tomography (AS-OCT) image analysis methods and applications: A systematic review
      Background: Anterior segment optical coherence tomography (AS-OCT) constitutes an important imaging modality to examine the anterior eye, which is commonly used in research and clinical practice. Since its introduction, a range of image analysis methods have been developed to quantify these images using different analysis techniques for various applications. This systematic review aims to provide an in-depth summary and to classify image analysis techniques found in the literature applied to ...
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    4. Automatic Assessment of Calcified Plaque and Nodule by Optical Coherence Tomography Adopting Deep Learning Mode

      Automatic Assessment of Calcified Plaque and Nodule by Optical Coherence Tomography Adopting Deep Learning Mode
      Significance: Detection and characterization of coronary atherosclerotic plaques often need reviews of a large number of optical coherence tomography (OCT) imaging slices to make a clinical decision. However, it is a challenge to manually review all the slices and consider the interrelationship between adjacent slices. Approach : Inspired by the recent success of deep convolutional network on the classification of medical images, we proposed a ResNet-3D network for classification of coronary ...
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    5. Static compression optical coherence elastography to measure the mechanical properties of soft contact lenses

      Static compression optical coherence elastography to measure the mechanical properties of soft contact lenses
      In this study, a novel method was developed for estimating the elastic modulus (Young's modulus) of soft contact lens materials using static compression optical coherence elastography. Using a commercially available spectral domain optical coherence tomography instrument, an experimental setup was developed to image a soft contact lens sample before and during compression with a known applied force, from which the lens material's mechanical properties can be derived. A ...
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    6. Deep feature loss to denoise OCT images using deep neural networks

      Deep feature loss to denoise OCT images using deep neural networks
      Significance: Speckle noise is an inherent limitation of optical coherence tomography (OCT) images that makes clinical interpretation challenging. The recent emergence of deep learning could offer a reliable method to reduce noise in OCT images. Aim: We sought to investigate the use of deep features (VGG) to limit the effect of blurriness and increase perceptual sharpness and to evaluate its impact on the performance of OCT image denoising (DnCNN). Approach ...
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    7. Induced refractive error changes optical coherence tomography angiography transverse magnification and vascular indices.

      Induced refractive error changes optical coherence tomography angiography transverse magnification and vascular indices.
      Purpose To assess the effect of changing anterior eye refractive power with contact lenses on the transverse magnification of enface images and associated vascular indices from optical coherence tomography angiography (OCT-A). Design Prospective cross-over study. Methods Spherical soft contact lenses (-6D to +6D in 2D steps) were used to induce anterior eye refractive power changes in 11 healthy young adults and 3 3mm macular scans were captured using OCT-A (Zeiss ...
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    8. Optical coherence tomography: fundamentals and clinical utility

      Optical coherence tomography: fundamentals and clinical utility
      Although coronary angiography is the standard method employed to assess the severity of coronary artery disease and to guide treatment strategies, it provides only 2D image of the intravascular lesions. In contrast, intravascular imaging modalities such as optical coherence tomography (OCT) produce cross-sectional images of the coronary arteries at a far greater spatial resolution, capable of accurately determining vessel size as well as plaque morphology, eliminating many of the disadvantages ...
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    9. Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated

      Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated
      Purpose : To use a deep learning model to develop a fully automated method (fully semantic network and graph search [FS-GS]) of retinal segmentation for optical coherence tomography (OCT) images from patients with Stargardt disease. Methods : Eighty-seven manually segmented (ground truth) OCT volume scan sets (5171 B-scans) from 22 patients with Stargardt disease were used for training, validation and testing of a novel retinal boundary detection approach (FS-GS) that combines a ...
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    10. Automatic choroidal segmentation in OCT images using supervised deep learning methods

      Automatic choroidal segmentation in OCT images using supervised deep learning methods
      The analysis of the choroid in the eye is crucial for our understanding of a range of ocular diseases and physiological processes. Optical coherence tomography (OCT) imaging provides the ability to capture highly detailed cross-sectional images of the choroid yet only a very limited number of commercial OCT instruments provide methods for automatic segmentation of choroidal tissue. Manual annotation of the choroidal boundaries is often performed but this is impractical ...
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    11. Numerical Investigation of Atherosclerotic Plaque Rupture using Optical Coherence Tomography Imaging and XFEM

      Numerical Investigation of Atherosclerotic Plaque Rupture using Optical Coherence Tomography Imaging and XFEM
      Myocardial infarction contributes to most fatalities in which atherosclerotic plaque disruption is the underlying pathology. From the mechanics view point, the pulsatile blood flow in the arteries resembles a fatigue environment and generates stresses that affect the rupture of the atherosclerotic plaque. In this context, patient-specific optical coherence tomography (OCT) was used to develop the fatigue crack growth behavior. The impact of location specific morphological features and their relative effect ...
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    12. SYNTAX Score, and Pre- and Post-Stent Optical Coherence Tomography Findings in the Left Anterior Descending Coronary Artery in Patients with Stable Angina Pectoris

      SYNTAX Score, and Pre- and Post-Stent Optical Coherence Tomography Findings in the Left Anterior Descending Coronary Artery in Patients with Stable Angina Pectoris
      SYNTAX score (SS) has been reported to be an independent predictor of future cardiac events including target lesion revascularization (TLR). The aim of this study was to assess the relationship between SS and plaque characteristics and post-stent vascular response using optical coherence tomography (OCT) in coronary artery tree and left anterior descending artery (LAD) in patients with stable angina. A total of 179 lesions among 165 patients, including 100 lesions ...
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    13. Clinical Significance of Lipid-Rich Plaque Detected by Optical Coherence Tomography : A 4-Year Follow-Up Study

      Clinical Significance of Lipid-Rich Plaque Detected by Optical Coherence Tomography : A 4-Year Follow-Up Study
      Background Lipid-rich plaque (LRP) is thought to be a precursor to cardiac events. However, its clinical significance in coronary arteries has never been systematically investigated. Objectives This study investigated the prevalence and clinical significance of LRP in the nonculprit region of the target vessel in patients undergoing percutaneous coronary intervention (PCI). Methods The study included 1,474 patients from 20 sites across 6 countries undergoing PCI, who had optical coherence ...
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    14. Tissue thickness calculation in ocular optical coherence tomography

      Tissue thickness calculation in ocular optical coherence tomography
      Thickness measurements derived from optical coherence tomography (OCT) images of the eye are a fundamental clinical and research metric, since they provide valuable information regarding the eyes anatomical and physiological characteristics, and can assist in the diagnosis and monitoring of numerous ocular conditions. Despite the importance of these measurements, limited attention has been given to the methods used to estimate thickness in OCT images of the eye. Most current studies ...
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    15. Re: Mwanza et al.: Diagnostic performance of optical coherence tomography ganglion cell–inner plexiform layer thickness measurements in early glaucoma (Ophthalmology 2014;121:849-54)

      Re: Mwanza et al.: Diagnostic performance of optical coherence tomography ganglion cell–inner plexiform layer thickness measurements in early glaucoma (Ophthalmology 2014;121:849-54)
      ...avi Thomas x Ravi Thomas Search for articles by this author Affiliations * Queensland Eye Institute, and University of Queensland, Brisbane, Queensland, Australia , MD, FRANZCO , Mark J. Walland x Mark J. Walland ...
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  2. About University of Queensland

    University of Queensland

    University of Queensland is one of Australia's premier learning and research institutions. The University is a founding member of the national Group of Eight, an alliance of research-strong "sandstone" universities committed to ensuring that Australia has higher education institutions which are genuinely world class. It belongs also to the global Universitas 21 alliance. This group aims to enhance the quality of university outcomes through international benchmarking and a joint venture e-learning project with The Thomson Corporation.