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Retinal image analysis

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https://www.readbyqxmd.com/read/28229127/the-application-of-retinal-fundus-camera-imaging-in-dementia-a-systematic-review
#1
REVIEW
Sarah McGrory, James R Cameron, Enrico Pellegrini, Claire Warren, Fergus N Doubal, Ian J Deary, Baljean Dhillon, Joanna M Wardlaw, Emanuele Trucco, Thomas J MacGillivray
INTRODUCTION: The ease of imaging the retinal vasculature, and the evolving evidence suggesting this microvascular bed might reflect the cerebral microvasculature, presents an opportunity to investigate cerebrovascular disease and the contribution of microvascular disease to dementia with fundus camera imaging. METHODS: A systematic review and meta-analysis was carried out to assess the measurement of retinal properties in dementia using fundus imaging. RESULTS: Ten studies assessing retinal properties in dementia were included...
2017: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
https://www.readbyqxmd.com/read/28228831/retinal-nerve-fibre-layer-thickness-of-migraine-patients-with-or-without-white-matter-lesions
#2
Ilke Bahceci Simsek
The aim of this study was to determine whether retinal nerve fibre layer (RNFL) thickness is correlated with cerebral white matter lesions (WML) in migraine patients. Forty migraine and 40 healthy subjects were included in this study. The difference in RNFL thickness between the control and a migraine group with WML and a migraine group without WML were investigated using analysis of variance (ANOVA). A Tukey post hoc test was conducted to determine from which group the difference originated. Lower RNFL thicknesses were observed in the migraine patient group where WML was detected using magnetic resonance imaging (MRI), compared with the control group and with the migraine group with no WML...
February 2017: Neuro-ophthalmology
https://www.readbyqxmd.com/read/28228830/optic-disc-and-macular-imaging-in-blind-eyes-from-non-glaucomatous-optic-neuropathy-a-study-with-spectral-domain-optical-coherence-tomography
#3
Linda Hansapinyo, Andy C O Cheng, Noel C Y Chan, Carmen K M Chan
The purpose of this study was to determine and compare the optic disc and macular thickness measurements using two spectral-domain optical coherence tomography (SD-OCT) instruments in long-standing blind eyes diagnosed with non-glaucomatous optic neuropathies (NGON). A prospective observational case-series design was used. Twelve eyes from 12 NGON patients with no light perception for at least 6 months underwent optic disc and macular imaging with Cirrus HD-OCT and Spectralis OCT. The correlation between the peripapillary retinal nerve fibre layer (PRNFL) and macular ganglion cell layer and inner plexiform layer (GCL+IPL) thicknesses, and between the duration of no light perception (NLP) and PRNFL/GCL+IPL thicknesses were determined using Spearman's correlation analysis...
February 2017: Neuro-ophthalmology
https://www.readbyqxmd.com/read/28226751/deep-neural-ensemble-for-retinal-vessel-segmentation-in-fundus-images-towards-achieving-label-free-angiography
#4
A Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas, A Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas, Debdoot Sheet, Prabir Kumar Biswas, A Lahiri
Automated segmentation of retinal blood vessels in label-free fundus images entails a pivotal role in computed aided diagnosis of ophthalmic pathologies, viz., diabetic retinopathy, hypertensive disorders and cardiovascular diseases. The challenge remains active in medical image analysis research due to varied distribution of blood vessels, which manifest variations in their dimensions of physical appearance against a noisy background. In this paper we formulate the segmentation challenge as a classification task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226748/integrating-holistic-and-local-deep-features-for-glaucoma-classification
#5
Annan Li, Jun Cheng, Damon Wing Kee Wong, Jiang Liu, Annan Li, Jun Cheng, Damon Wing Kee Wong, Jiang Liu, Jun Cheng, Damon Wing Kee Wong, Jiang Liu, Annan Li
Automated glaucoma detection is an important application of retinal image analysis. Compared with segmentation based approaches, image classification based approaches have a potential of better performance. However, it still remains a challenging problem for two reasons. Firstly, due to insufficient sample size, learning effective features is difficult. Secondly, the shape variations of optic disc introduce misalignment. To address these problem, a new classification based approach for glaucoma detection is proposed, in which deep convolutional networks derived from large-scale generic dataset is used to representing the visual appearance and holistic and local features are combined to mitigate the influence of misalignment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226739/automated-segmentation-of-intra-retinal-cysts-from-optical-coherence-tomography-scans-using-marker-controlled-watershed-transform
#6
G N Girish, Abhishek R Kothari, Jeny Rajan, G N Girish, Abhishek R Kothari, Jeny Rajan, Jeny Rajan, G N Girish, Abhishek R Kothari
Optical Coherence Tomography (OCT) has emerged as a major diagnostic modality for retinal imaging. Although OCT generates gross volumetric data, manual analysis of the images for locating or quantifying retinal cysts is a time consuming process. Recently semi- and fully-automatic methods for locating and segmenting retinal cysts have been proposed in the literature. Our paper proposes a fully automatic method for intra-retinal cyst segmentation using marker controlled watershed transform on B-scan images obtained on OCT scanning...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226523/embedded-clutter-reduction-and-face-detection-algorithms-for-a-visual-prosthesis
#7
Derek M Rollend, Paul E Rosendall, Kevin C Wolfe, Dean M Kleissas, Seth D Billings, Jonathan M Oben, John B Helder, Francesco V Tenore, Philippe M Burlina, Arup Roy, Robert Greenberg, Kapil D Katyal, Derek M Rollend, Paul E Rosendall, Kevin C Wolfe, Dean M Kleissas, Seth D Billings, Jonathan M Oben, John B Helder, Francesco V Tenore, Philippe M Burlina, Arup Roy, Robert Greenberg, Kapil D Katyal, Arup Roy, Dean M Kleissas, John B Helder, Seth D Billings, Robert Greenberg, Philippe M Burlina, Derek M Rollend, Paul E Rosendall, Jonathan M Oben, Kapil D Katyal, Francesco V Tenore, Kevin C Wolfe
Retinal prosthetic devices can significantly and positively impact the ability of visually challenged individuals to live a more independent life. We describe a visual processing system which leverages image analysis techniques to produce visual patterns and allows the user to more effectively perceive their environment. These patterns are used to stimulate a retinal prosthesis to allow self guidance and a higher degree of autonomy for the affected individual. Specifically, we describe an image processing pipeline that allows for object and face localization in cluttered environments as well as various contrast enhancement strategies in the "implanted image...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28221328/retinotopic-fmri-reveals-visual-dysfunction-and-functional-reorganization-in-the-visual-cortex-of-mild-to-moderate-glaucoma-patients
#8
Wei Zhou, Eric R Muir, Kundandeep S Nagi, Steven Chalfin, Pavel Rodriguez, Timothy Q Duong
PURPOSE: To investigate retinotopic functional representation in the visual cortex of mild to moderate primary open-angle glaucoma (POAG) participants and age-matched normal volunteers using high-resolution retinotopic blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI). METHODS: fMRI was performed on 9 POAG participants (61±11 y old) and 9 age-matched controls (58±5 y old) were studied. A wide-view visual presentation (±55 degrees) was used to evaluate central and peripheral vision...
February 17, 2017: Journal of Glaucoma
https://www.readbyqxmd.com/read/28218219/reduced-macular-vascular-density-in-myopic-eyes
#9
Hua Fan, Hao-Yu Chen, Hong-Jie Ma, Zheng Chang, Hai-Quan Yin, Danny Siu-Chun Ng, Carol Y Cheung, Shan Hu, Xiang Xiang, Shi-Bo Tang, Shuang-Nong Li
BACKGROUND: Morphological changes of the vasculature system in patients with myopia have been observed by Doppler ultrasound and fundus fluorescein angiography (FFA); however, these studies have limitations. Doppler ultrasound provides low-resolution images which are mainly obtained from visualized large vessels, and FFA is an invasive examination. Optic coherence tomography (OCT) angiography is a noninvasive, high-resolution measurement for vascular density. The purpose of this study was to investigate the change of vascular density in myopic eyes using OCT angiography...
2017: Chinese Medical Journal
https://www.readbyqxmd.com/read/28210739/retinal-oxidative-stress-at-the-onset-of-diabetes-determined-by-synchrotron-ftir-widefield-imaging-towards-diabetes-pathogenesis
#10
Ebrahim Aboualizadeh, Mahsa Ranji, Christine M Sorenson, Reyhaneh Sepehr, Nader Sheibani, Carol J Hirschmugl
Diabetic retinopathy is a microvascular complication of diabetes that can lead to blindness. In the present study, we aimed to determine the nature of diabetes-induced, highly localized biochemical changes in the neuroretina at the onset of diabetes. High-resolution synchrotron Fourier transform infrared (s-FTIR) wide field microscopy coupled with multivariate analysis (PCA-LDA) was employed to identify biomarkers of diabetic retinopathy with spatial resolution at the cellular level. We compared the retinal tissue prepared from 6-week-old Ins2(Akita/+) heterozygous (Akita/+, N = 6; a model of diabetes) male mice with the wild-type (control, N = 6) mice...
February 17, 2017: Analyst
https://www.readbyqxmd.com/read/28205530/retinal-structure-and-function-in-eyes-with-optic-nerve-hypoplasia
#11
Satoshi Katagiri, Sachiko Nishina, Tadashi Yokoi, Masashi Mikami, Yuri Nakayama, Michiko Tanaka, Noriyuki Azuma
We investigated retinal structure and function in eyes with optic nerve hypoplasia (ONH). Twenty-nine eyes of 18 patients with ONH and 21 eyes of 21 control patients were analyzed. Spectral-domain optical coherence tomography (SD-OCT), full-field electroretinography (FF-ERG), and focal macular ERG (FM-ERG) were performed. SD-OCT analysis of the macular region showed significant ganglion cells complex (GCC) thinning nasally and temporally (P < 0.05), but the thickness from the inner nuclear layer (INL) to the retinal pigment epithelium (RPE) became thinner only nasally (P < 0...
February 16, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28194685/selective-search-and-intensity-context-based-retina-vessel-image-segmentation
#12
Zhaohui Tang, Jin Zhang, Weihua Gui
In the framework of computer-aided diagnosis of eye disease, a new contextual image feature named influence degree of average intensity is proposed for retinal vessel image segmentation. This new feature evaluates the influence degree of current detected pixel decreasing the average intensity of the local row where that pixel located. Firstly, Hessian matrix is introduced to detect candidate regions, for the reason of accelerating segmentation. Then, the influence degree of average intensity of each pixel is extracted...
March 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28194407/robust-retinal-blood-vessel-segmentation-based-on-reinforcement-local-descriptions
#13
COMPARATIVE STUDY
Meng Li, Zhenshen Ma, Chao Liu, Guang Zhang, Zhe Han
Retinal blood vessels segmentation plays an important role for retinal image analysis. In this paper, we propose robust retinal blood vessel segmentation method based on reinforcement local descriptions. A novel line set based feature is firstly developed to capture local shape information of vessels by employing the length prior of vessels, which is robust to intensity variety. After that, local intensity feature is calculated for each pixel, and then morphological gradient feature is extracted for enhancing the local edge of smaller vessel...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28192840/-en-face-oct-in-small-pigmented-choroidal-tumors
#14
S Cotting-Bodmer, L Zografos, A Schalenbourg
Background "En face" optical coherence tomography (OCT) is an imaging technique with optic sections parallel to the retinal pigment epithelium (RPE). This study aims to define the use of this technique in the evaluation of small pigmented choroidal tumors. Patients and Methods Investigation of 27 small pigmented choroidal tumors with "en face" OCT. Following manual segmentation, the optic sections performed with a spectral domain OCT at 30, 80 and 130 µ under the RPE were selected for morphological and statistical analysis...
February 13, 2017: Klinische Monatsblätter Für Augenheilkunde
https://www.readbyqxmd.com/read/28192539/optical-coherence-tomography-segmentation-analysis-in-relapsing-remitting-versus-progressive-multiple-sclerosis
#15
Raed Behbehani, Abdullah Abu Al-Hassan, Ali Al-Salahat, Devarajan Sriraman, J D Oakley, Raed Alroughani
INTRODUCTION: Optical coherence tomography (OCT) with retinal segmentation analysis is a valuable tool in assessing axonal loss and neuro-degeneration in multiple sclerosis (MS) by in-vivo imaging, delineation and quantification of retinal layers. There is evidence of deep retinal involvement in MS beyond the inner retinal layers. The ultra-structural retinal changes in MS in different MS phenotypes can reflect differences in the pathophysiologic mechanisms. There is limited data on the pattern of deeper retinal layer involvement in progressive MS (PMS) versus relapsing remitting MS (RRMS)...
2017: PloS One
https://www.readbyqxmd.com/read/28192385/ganglion-cell-complex-loss-in-chiasmal-compression-by-brain-tumors
#16
Marisa G Tieger, Thomas R Hedges, Joseph Ho, Natalie K Erlich-Malona, Laurel N Vuong, Geetha K Athappilly, Carlos E Mendoza-Santiesteban
BACKGROUND: Patterns of ganglion cell complex (GCC) loss detected by optical coherence tomography provide an objective measure of optic nerve injury. These patterns aid in early diagnosis and localization of chiasmal lesions. METHODS: Twenty-three patients with chiasmal compression seen between 2010 and 2015 were imaged with the Cirrus high-definition optical coherence tomography macular cube 512 × 128, retinal nerve fiber layer (RNFL) scan protocols and automated (30-2 Humphrey) visual fields (VFs)...
March 2017: Journal of Neuro-ophthalmology: the Official Journal of the North American Neuro-Ophthalmology Society
https://www.readbyqxmd.com/read/28187898/vessel-segmentation-and-microaneurysm-detection-using-discriminative-dictionary-learning-and-sparse-representation
#17
Malihe Javidi, Hamid-Reza Pourreza, Ahad Harati
Diabetic retinopathy (DR) is a major cause of visual impairment, and the analysis of retinal image can assist patients to take action earlier when it is more likely to be effective. The accurate segmentation of blood vessels in the retinal image can diagnose DR directly. In this paper, a novel scheme for blood vessel segmentation based on discriminative dictionary learning (DDL) and sparse representation has been proposed. The proposed system yields a strong representation which contains the semantic concept of the image...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28180131/semiautomated-segmentation-and-analysis-of-retinal-layers-in-three-dimensional-spectral-domain-optical-coherence-tomography-images-of-patients-with-atrophic-age-related-macular-degeneration
#18
Zhihong Hu, Yue Shi, Kiran Nandanan, Srinivas R Sadda
Historically, regular drusen and geographic atrophy (GA) have been recognized as the hallmarks of nonneovascular age-related macular degeneration (AMD). Recent imaging developments have revealed another distinct nonneovascular AMD phenotype, reticular pseudodrusen (RPD). We develop an approach to semiautomatically quantify retinal surfaces associated with various AMD lesions (i.e., regular drusen, RPD, and GA) in spectral domain (SD) optical coherence tomography (OCT) images. More specifically, a graph-based algorithm was used to segment multiple retinal layers in SD-OCT volumes...
January 2017: Neurophotonics
https://www.readbyqxmd.com/read/28180033/platform-independent-cirrus-and-spectralis-thickness-measurements-in-eyes-with-diabetic-macular-edema-using-fully-automated-software
#19
Alex S Willoughby, Stephanie J Chiu, Rachel K Silverman, Sina Farsiu, Clare Bailey, Henry E Wiley, Frederick L Ferris, Glenn J Jaffe
PURPOSE: We determine whether the automated segmentation software, Duke Optical Coherence Tomography Retinal Analysis Program (DOCTRAP), can measure, in a platform-independent manner, retinal thickness on Cirrus and Spectralis spectral domain optical coherence tomography (SD-OCT) images in eyes with diabetic macular edema (DME) under treatment in a clinical trial. METHODS: Automatic segmentation software was used to segment the internal limiting membrane (ILM), inner retinal pigment epithelium (RPE), and Bruch's membrane (BM) in SD-OCT images acquired by Cirrus and Spectralis commercial systems, from the same eye, on the same day during a clinical interventional DME trial...
February 2017: Translational Vision Science & Technology
https://www.readbyqxmd.com/read/28178266/accuracy-maximization-analysis-for-sensory-perceptual-tasks-computational-improvements-filter-robustness-and-coding-advantages-for-scaled-additive-noise
#20
Johannes Burge, Priyank Jaini
Accuracy Maximization Analysis (AMA) is a recently developed Bayesian ideal observer method for task-specific dimensionality reduction. Given a training set of proximal stimuli (e.g. retinal images), a response noise model, and a cost function, AMA returns the filters (i.e. receptive fields) that extract the most useful stimulus features for estimating a user-specified latent variable from those stimuli. Here, we first contribute two technical advances that significantly reduce AMA's compute time: we derive gradients of cost functions for which two popular estimators are appropriate, and we implement a stochastic gradient descent (AMA-SGD) routine for filter learning...
February 2017: PLoS Computational Biology
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