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    1. Automated Segmentation of Retinal Optical Coherence Tomography Images (Thesis)

      Automated Segmentation of Retinal Optical Coherence Tomography Images (Thesis)

      Aim Optical Coherence Tomography (OCT) is a fast and non-invasive medical imaging technique which helps in the investigation of each individual retinal layer structure. For early detection of retinal diseases and the study of their progression, segmentation of the OCT images into the distinct layers of the retina plays a crucial role. However, segmentation done by the clinicians manually is extremely tedious, time-consuming and variable with respect to the expertise level. Hence, there is an utmost necessity to develop an automated segmentation algorithm for retinal OCT images which is fast, accurate, and eases clinical decision making. Methods Graph-theoretical methods have ...

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    2. Developing algorithms for the analysis of retinal Optical Coherence Tomography images (Thesis)

      Developing algorithms for the analysis of retinal Optical Coherence Tomography images (Thesis)

      Vision loss, with a prevalence loss greater than 42 million in the United States is one of the major challenges of today's health-care industry and medical science. Early detection of different retinal-related diseases will dramatically reduce the risk of vision loss. Optical Coherence Tomography (OCT) is a relatively new imaging technique which is of great importance in the identification of ocular and especially retinal diseases. Thus, the efficient analysis of OCT images provides several advantages. In this thesis, we propose a series of image processing and machine learning techniques for the automated analysis of OCT images. The proposed methodology ...

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    3. Evaluation and Correlation of Morphological, Blood Flow and Physiological Retinal Changes in a Rat Model of Glaucoma with a Combined Optical Coherence Tomography and Electroretinography System (Thesis)

      Evaluation and Correlation of Morphological, Blood Flow and Physiological Retinal Changes in a Rat Model of Glaucoma with a Combined Optical Coherence Tomography and Electroretinography System (Thesis)

      Glaucoma is a chronic disease associated with progressive dysfunction of the retinal ganglion cells (RGC), reduction of the retinal blood flow, thinning of the retinal nerve fiber layer (RNFL) and deformation of the optical nerve head (ONH). It is the second leading cause of blindness worldwide, with an estimate of 64.3 million people between the ages of 40 to 80 years affected in 2013, 76.7 million by 2020, and 111.8 million by 2040. Currently, there is no cure for glaucoma and any clinically available pharmaceutical or surgical approaches to treating the disease can only slow its progression ...

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    1-3 of 3
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