Developing Algorithms For The Analysis Of Retinal Optical Coherence Tomography Images
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Developing Algorithms For The Analysis Of Retinal Optical Coherence Tomography Images
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Author : Peyman Gholami
language : en
Publisher:
Release Date : 2018
Developing Algorithms For The Analysis Of Retinal Optical Coherence Tomography Images written by Peyman Gholami and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Optical coherence tomography categories.
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 in chapter 2 localizes different retinal layers using a modified version of active contour models. In chapter 3, we propose a method which classifies OCT images based on different pathological conditions using novel methods, e.g., transfer learning and new texture detection techniques. The proposed methods along with the clinically meaningful extracted characteristics provide numbers of applications and benefits, e.g., saving a considerable amount of time and providing more-efficient and -accurate indices for the diagnosis and treatment of different ocular diseases to ophthalmologists and finally reducing the overall risk of vision loss.
Automated Segmentation Of Retinal Optical Coherence Tomography Images
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Author : Priyanka Roy
language : en
Publisher:
Release Date : 2018
Automated Segmentation Of Retinal Optical Coherence Tomography Images written by Priyanka Roy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Optical coherence tomography categories.
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 been implemented to develop an automated segmentation algorithm for spectral domain OCT (SD-OCT) images of the retina. As a pre-processing step, the best method for denoising the SD-OCT images prior to graph-based segmentation was determined by comparison between simple Gaussian filtering and an advanced wavelet-based denoising technique. A shortest-path based graph search technique was implemented to accurately delineate intra-retinal layer boundaries within the SD-OCT images. The results from the automated algorithm were also validated by comparison with manual segmentation done by an expert clinician using a specially designed graphical user interface (GUI). Results. The algorithm delineated seven intra-retinal boundaries thereby segmenting six layers of the retina along with computing their thicknesses. The thickness results from the automated algorithm when compared to normative layer thickness values from a published study showed no significant differences (p > 0.05) for all layers except layer 4 (p = 0.04). Furthermore, when a comparative analysis was done between the results from the automated segmentation algorithm and that from manual segmentation by an expert, the accuracy of the algorithm varied between 74.58% (layer 2) to 98.90% (layer 5). Additionally, the comparison of two different denoising techniques revealed that there was no significant impact of an advanced wavelet-based denoising technique over the use of simple Gaussian filtering on the accuracy of boundary detection by the graph-based algorithm. Conclusion. An automated graph-based algorithm was developed and implemented in this thesis for the segmentation of seven intra-retinal boundaries and six layers in SD-OCT images which is as good as manual segmentation by an expert clinician. This thesis also concludes on the note that simple Gaussian filters are sufficient to denoise the images in graph-based segmentation techniques and does not require an advanced denoising technique. This makes the complexity of implementation far more simple and efficient in terms of time and memory requirements.
Optical Coherence Tomography Angiography Of The Eye
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Author : David Huang
language : en
Publisher: Kugler Publications
Release Date : 2024-01-08
Optical Coherence Tomography Angiography Of The Eye written by David Huang and has been published by Kugler Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-08 with Medical categories.
Optical coherence tomography angiography (OCTA) has undergone tremendous growth since its first commercial introduction in 2014. Because it provides injection-free, capillary-resolution, 3-dimensional angiography of the retina and choroid, OCTA is likely to overtake fluorescein as the most important angiographic imaging technique in the eye. Nearly all manufacturers of ophthalmic OCT now offer OCTA products. A PubMed search now yields over 5700 articles on OCTA and related terms. Clinical investigators have already found a use for OCTA in almost every category of retinal and optic nerve diseases. This book is meant to bring together all this information so clinicians can have one authoritative text to turn to as we begin to use this new imaging modality that was never taught when we were in formal training. Table of contents Introduction Dedication About the Editors Contributors 1. Optical coherence tomography systems for angiography 2. Optical coherence tomographic angiography algorithms 3. Vascular anatomy of the normal retina and choroid 4. OCTA of the normal anterior eye circulations 5. Artifacts 6. Quantification 7. Artificial intelligence in optical coherence tomographic angiography 8. Terminology: a new standard 9. AngioVue SSADA OCTA on the Optovue SOLIX Spectral-Domain OCT 10. Optical microangiography with AngioPlex® and PLEX® Elite systems 11. Optical coherence tomography angiography imaging on the Topcon Triton and Maestro2 systems 12. NIDEK Mirante OCT angiography 13. OCTA on the Heidelberg spectralis spectral-domain OCT 14. OCTA on the Optopol REVO NX spectral-domain OCT 15. OCTA on the Canon OCT-HS100 and Xephilio OCT-A1 Spectral-Domain OCT 16. Exudative neovascular age-related macular degeneration—Type 1, 2 and 3 neovascularization 17. Retinal angiomatous proliferation—type 3 choroidal neovascularization 18. Short- and long-term follow-up of macular neovascularization response to antiangiogenic treatment 19. Nonexudative neovascular age-related macular degeneration 20. Non-neovascular age-related macular degeneration 21. Polypoidal choroidal vasculopathy 22. Macular telangiectasia 23. Central serous chorioretinopathy 25. Nonproliferative diabetic retinopathy 26. Subclinical neovascular diabetic retinopathy 27. Proliferative diabetic retinopathy 28. Retinal venous occlusion 29. Retinal arterial occlusion 30. Plexus-specific occlusions in retinal vascular diseases 31. Paracentral acute middle maculopathy 32. Inherited retinal degenerations 33. Pathologic myopia 34. Multimodal imaging and the role of optical coherence tomography angiography in retinal vasculitis 35. White spot syndromes 36. Choroidal tumors 37. Radiation retinopathy 38. Open-angle glaucoma 39. Primary angle-closure glaucoma 40. Optic neuritis and multiple sclerosis 41. Alzheimer’s disease 42. Corneal neovascularization 43. Ocular surface and iris tumors
Intraretinal Fluid Identification Via Enhanced Maps Using Optical Coherence Tomography Images
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Author : PLÁCIDO L. VIDAL
language : en
Publisher: Infinite Study
Release Date :
Intraretinal Fluid Identification Via Enhanced Maps Using Optical Coherence Tomography Images written by PLÁCIDO L. VIDAL and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
Nowadays, among the main causes of blindness in developed countries are age-related macular degeneration (AMD) and the diabetic macular edema (DME). Both diseases present, as a common symptom, the appearance of cystoid fluid regions inside the retinal layers. Optical coherence tomography (OCT) image modality was one of the main medical imaging techniques for the early diagnosis and monitoring of AMD and DME via this intraretinal fluid detection and characterization.
Development And Application Of Optical Coherence Tomography Oct
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Author : Michael Pircher
language : en
Publisher: MDPI
Release Date : 2018-03-23
Development And Application Of Optical Coherence Tomography Oct written by Michael Pircher and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-23 with Electronic books categories.
This book is a printed edition of the Special Issue "Development and Application of Optical Coherence Tomography (OCT)" that was published in Applied Sciences
Deep Learning Approach For The Detection And Quantification Of Intraretinal Cystoid Fluid In Multivendor Optical Coherence Tomography
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Author : FREERK G. VENHUIZEN
language : en
Publisher: Infinite Study
Release Date :
Deep Learning Approach For The Detection And Quantification Of Intraretinal Cystoid Fluid In Multivendor Optical Coherence Tomography written by FREERK G. VENHUIZEN and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
We developed a deep learning algorithm for the automatic segmentation and quantification of intraretinal cystoid fluid (IRC) in spectral domain optical coherence tomography (SD-OCT) volumes independent of the device used for acquisition.
Image Segmentation
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Author : Pei-Gee Ho
language : en
Publisher: IntechOpen
Release Date : 2011-04-19
Image Segmentation written by Pei-Gee Ho and has been published by IntechOpen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-19 with Computers categories.
It was estimated that 80% of the information received by human is visual. Image processing is evolving fast and continually. During the past 10 years, there has been a significant research increase in image segmentation. To study a specific object in an image, its boundary can be highlighted by an image segmentation procedure. The objective of the image segmentation is to simplify the representation of pictures into meaningful information by partitioning into image regions. Image segmentation is a technique to locate certain objects or boundaries within an image. There are many algorithms and techniques have been developed to solve image segmentation problems, the research topics in this book such as level set, active contour, AR time series image modeling, Support Vector Machines, Pixon based image segmentations, region similarity metric based technique, statistical ANN and JSEG algorithm were written in details. This book brings together many different aspects of the current research on several fields associated to digital image segmentation. Four parts allowed gathering the 27 chapters around the following topics: Survey of Image Segmentation Algorithms, Image Segmentation methods, Image Segmentation Applications and Hardware Implementation. The readers will find the contents in this book enjoyable and get many helpful ideas and overviews on their own study.
High Resolution Imaging In Microscopy And Ophthalmology
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Author : Josef F. Bille
language : en
Publisher: Springer
Release Date : 2019-08-13
High Resolution Imaging In Microscopy And Ophthalmology written by Josef F. Bille and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-13 with Medical categories.
This open access book provides a comprehensive overview of the application of the newest laser and microscope/ophthalmoscope technology in the field of high resolution imaging in microscopy and ophthalmology. Starting by describing High-Resolution 3D Light Microscopy with STED and RESOLFT, the book goes on to cover retinal and anterior segment imaging and image-guided treatment and also discusses the development of adaptive optics in vision science and ophthalmology. Using an interdisciplinary approach, the reader will learn about the latest developments and most up to date technology in the field and how these translate to a medical setting. High Resolution Imaging in Microscopy and Ophthalmology – New Frontiers in Biomedical Optics has been written by leading experts in the field and offers insights on engineering, biology, and medicine, thus being a valuable addition for scientists, engineers, and clinicians with technical and medical interest who would like to understand the equipment, the applications and the medical/biological background. Lastly, this book is dedicated to the memory of Dr. Gerhard Zinser, co-founder of Heidelberg Engineering GmbH, a scientist, a husband, a brother, a colleague, and a friend.
Automated 3 D Segmentation And Analysis Of Retinal Optical Coherence Tomography Images
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Author : Mona Kathryn Garvin
language : en
Publisher:
Release Date : 2008
Automated 3 D Segmentation And Analysis Of Retinal Optical Coherence Tomography Images written by Mona Kathryn Garvin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Optical coherence tomography categories.
Fully Automated Segmentation Of Fluid Cyst Regions In Optical Coherence Tomography Images With Diabetic Macular Edema Using Neutrosophic Sets And Graph Algorithms
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Author : Abdolreza Rashno
language : en
Publisher: Infinite Study
Release Date :
Fully Automated Segmentation Of Fluid Cyst Regions In Optical Coherence Tomography Images With Diabetic Macular Edema Using Neutrosophic Sets And Graph Algorithms written by Abdolreza Rashno and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
This paper presents a fully-automated algorithm to segment fluid-associated (fluid-filled) and cyst regions in optical coherence tomography (OCT) retina images of subjects with diabetic macular edema (DME).