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Recent Techniques and Trends for Retinal Blood Vessel Extraction and Tortuosity Evaluation: A Comprehensive Review

Alice Krestanova, Jan Kubicek, Marek Penhaker
2020 IEEE Access  
This article presents a comprehensive overview of all segmentation techniques for retinal blood vessel extraction from images taken with a fundus camera in adults and older children or with a RetCam fundus  ...  Retinal blood vessel segmentation plays an important part in the early diagnosis and treatment of eye disease. It is a tool for ophthalmologists.  ...  Retinal images of patients were taken with fundus cameras by Canon, TopCon, Zeiss, Optos, EasyScan SLO. In new-borns, the retina was scanned using a RetCam3 or RetCam130 fundus camera.  ... 
doi:10.1109/access.2020.3033027 fatcat:utinj25kpfd3nbrmuaf5ujn7gq

Retinopathy of Prematurity Vessel and Ridge Parameters Measurement by Unsupervised Algorithm

S. Prabakar, K. Porkumaran, Parag K. Shah, V. Narendran
2014 Research Journal of Applied Sciences Engineering and Technology  
It is essential that those caring for premature infants should know who is at risk of ROP and their severity stage.  ...  The Retinopathy of Prematurity (ROP) is an ocular pathological disorder of the retinal blood vessels in premature infants and low birth weight infants.  ...  ACKNOWLEDGMENT The authors would like to thank Kathir College of Engineering, Coimbatore and Aravind eye hospital, Coimbatore for providing necessary facilities to carry out this study.  ... 
doi:10.19026/rjaset.7.702 fatcat:cli2iwftt5fcjef4ulind6orkq

Parapapillary atrophy and optic disc region assessment (PANDORA): retinal imaging tool for assessment of the optic disc and parapapillary atrophy

Cheng-Kai Lu, Tong Boon Tang, Augustinus Laude, Baljean Dhillon, Alan F. Murray
2012 Journal of Biomedical Optics  
the optic disc (OD) regions in two-dimensional color retinal fundus images.  ...  PANDORA demonstrates for the first time how to quantify the OD and PPA regions using two-dimensional fundus images, enabling ophthalmologists to study ocular diseases related to PPA using a standard fundus  ...  In this work, we used a naïve thresholding technique to segment retinal blood vessels from the fundus images.  ... 
doi:10.1117/1.jbo.17.10.106010 pmid:23224009 fatcat:mba75nvfzfcepkskgnuvt6773a

Retinal Imaging and Image Analysis

Michael D. Abramoff, Mona K. Garvin, Milan Sonka
2010 IEEE Reviews in Biomedical Engineering  
A separate section is devoted to 3-D analysis of OCT images, describing methods for segmentation and analysis of retinal layers, retinal vasculature, and 2-D/3-D detection of symptomatic exudateassociated  ...  This review focuses on quantitative approaches to retinal image analysis. Principles of 2-D and 3-D retinal imaging are outlined first.  ...  for Vision Research, University of Iowa, by the Department of Veterans' Affairs Center of Excellence for the Treatment and Prevention of Visual Loss, and by the Department of Veterans' Affairs Merit program  ... 
doi:10.1109/rbme.2010.2084567 pmid:22275207 pmcid:PMC3131209 fatcat:5tnyvgeujfhovkwlmasuf7huja

Retinal image analysis: Concepts, applications and potential

Niall Patton, Tariq M. Aslam, Thomas MacGillivray, Ian J. Deary, Baljean Dhillon, Robert H. Eikelboom, Kanagasingam Yogesan, Ian J. Constable
2006 Progress in retinal and eye research  
In addition, quantitative measurements of retinal vascular topography using digital image analysis from retinal photography have been used as research tools to better understand the relationship between  ...  retinopathy, age-related macular degeneration and retinopathy of prematurity.  ...  Four main techniques are used to segment the vasculature form retinal images: Matched filters This usually employs a two-dimensional linear ''structural element'' (kernel) that has a Gaussian cross-profile  ... 
doi:10.1016/j.preteyeres.2005.07.001 pmid:16154379 fatcat:aolu6uxia5gdpdx4iuv2pycdwq

Retinal image analysis: concepts, applications and potential

N. Patton, T.M. Aslam, T. MacGillivray, I.J. Deary, B. Dhillon, R.H. Eikelboom, K. Yogesan, I.J. Constable
2006 American Journal of Ophthalmology  
In addition, quantitative measurements of retinal vascular topography using digital image analysis from retinal photography have been used as research tools to better understand the relationship between  ...  retinopathy, age-related macular degeneration and retinopathy of prematurity.  ...  Four main techniques are used to segment the vasculature form retinal images: Matched filters This usually employs a two-dimensional linear ''structural element'' (kernel) that has a Gaussian cross-profile  ... 
doi:10.1016/j.ajo.2006.01.057 fatcat:mbsxu3qztzggvjyknekde2edcq

Early Prediction and Diagnosis of Retinoblastoma Using Deep Learning Techniques [article]

C. Anand Deva Durai, T Jemima Jebaseeli, Salem Alelyani, Azath Mubharakali
2021 arXiv   pre-print
The preprocessed images are segmented using the Convolutional Neural Network (CNN) to distinguish the foreground tumor cells from the background.  ...  The contribution of the proposed approach is to save the life of infants and the grown-up children from vision impairment.  ...  Acknowledgements The authors would like to thank Dr. J. Kishore Kumar Jacob, Eye Specialist, K.  ... 
arXiv:2103.07622v1 fatcat:wykfrhcylbcolfb4d7ajnm3sni

Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis

C Heneghan
2002 Medical Image Analysis  
stimulate the segmenting out the retinal vasculature from an image of new blood vessels, using either cryotherapy (Cryotherapy the retina, and for using this segmentation to provide for Retinopathy of  ...  directly based on simplified clinical examinations which doDetection of blood vessels in retinal images using two-dimensional not require the use of indirect ophthalmoscopy to view the matched filters.  ...  This indicates how the average vessel width varies as a function of time for all eyes from all subjects in the study.  ... 
doi:10.1016/s1361-8415(02)00058-0 pmid:12426111 fatcat:wjfnzcs445cjbcpaf3qg6wbrcm

CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images [article]

Jin Chao, Ahmad Al Badawi, Balagopal Unnikrishnan, Jie Lin, Chan Fook Mun, James M. Brown, J. Peter Campbell, Michael Chiang, Jayashree Kalpathy-Cramer, Vijay Ramaseshan Chandrasekhar, Pavitra Krishnaswamy, Khin Mi Mi Aung
2019 arXiv   pre-print
We apply CaRENets to perform homomorphic abnormality detection with 80-bit security level in two clinical conditions - Retinopathy of Prematurity (ROP) and Diabetic Retinopathy (DR).  ...  However, translating neural network models for clinical applications remains challenging due to data privacy issues.  ...  Sciences University, and a Career Development Award from Research to Prevent Blindness (New York, NY).  ... 
arXiv:1901.10074v1 fatcat:wt2yjtmydzcc5kl6tsghdkx224

Differential Modulation of Retinal Degeneration by Ccl2 and Cx3cr1 Chemokine Signalling

Ulrich F. O. Luhmann, Clemens A. Lange, Scott Robbie, Peter M. G. Munro, Jill A. Cowing, Hannah E. J. Armer, Vy Luong, Livia S. Carvalho, Robert E. MacLaren, Frederick W. Fitzke, James W. B. Bainbridge, Robin R. Ali (+1 others)
2012 PLoS ONE  
To control for genetic background variability, we compared the original phenotype with that of single Ccl2, Cx3cr1 and Ccl2/Cx3cr1 double knockout mice obtained from backcrosses of CCDKO with C57Bl/6 mice  ...  These findings indicate that CCDKO mice are not a model of AMD, but a model for an inherited retinal degeneration that is differentially modulated by Ccl2-Ccr2 and Cx3cl1-Cx3cr1 chemokine signalling.  ...  First OCT images were obtained from the animals using OCT+IR or OCT+AF channels to correlate the retinal position with the obtained two-dimensional optical section obtained by the OCT.  ... 
doi:10.1371/journal.pone.0035551 pmid:22545116 pmcid:PMC3335860 fatcat:c6pw3bue6zfphl74en5zpxsnry

Deep Learning Models for Automated Diagnosis of Retinopathy of Prematurity in Preterm Infants

Yo-Ping Huang, Spandana Vadloori, Hung-Chi Chu, Eugene Yu-Chuan Kang, Wei-Chi Wu, Shunji Kusaka, Yoko Fukushima
2020 Electronics  
Retinopathy of prematurity (ROP) is a disease that can cause blindness in premature infants. It is characterized by immature vascular growth of the retinal blood vessels.  ...  To this end, we applied transfer learning to five deep neural network architectures for identifying ROP in preterm infants.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.  ... 
doi:10.3390/electronics9091444 fatcat:ie22mui2wzay7nw5varvf3xl4i

A Multilevel Deep Feature Selection Framework for Diabetic Retinopathy Image Classification

Farrukh Zia, Isma Irum, Nadia Nawaz Qadri, Yunyoung Nam, Kiran Khurshid, Muhammad Ali, Imran Ashraf, Muhammad Attique Khan
2022 Computers Materials & Continua  
The thought behind this paper is to propose a computerized learning model to distinguish the key precursors of Dimensionality Reduction (DR).  ...  To select the most discriminant features from a pool of features, an entropy concept is employed before the classification step.  ...  A hybrid approach is proposed, which uses deep convolution neural networks for pre-trained networks like InceptionV3 and VGG19.  ... 
doi:10.32604/cmc.2022.017820 fatcat:slznjpvppvbclksdpree3jghdy

A LINE-1 insertion situated in the promoter of IMPG2 is associated with autosomal recessive progressive retinal atrophy in Lhasa Apso dogs

Rebekkah J Hitti-Malin, Louise M Burmeister, Sally L Ricketts, Thomas W Lewis, Louise Pettitt, Mike Boursnell, Ellen C Schofield, David Sargan, Cathryn S Mellersh
2020 BMC Genetics  
The identification of this PRA-associated variant has enabled the development of a DNA test for this form of PRA in the breed, here termed PRA4 to distinguish it from other forms of PRA described in other  ...  Canine progressive retinal atrophies are a group of hereditary retinal degenerations in dogs characterised by depletion of photoreceptor cells in the retina, which ultimately leads to blindness.  ...  the PRA4 homozygote and helping obtain retinal images from this dog.  ... 
doi:10.1186/s12863-020-00911-w pmid:32894063 pmcid:PMC7487703 fatcat:4mtplfxtnfdf5ebujnosfjuq2e

The Lrat−/− Rat: CRISPR/Cas9 Construction and Phenotyping of a New Animal Model for Retinitis Pigmentosa

Céline Koster, Koen T. van den Hurk, Colby F. Lewallen, Mays Talib, Jacoline B. ten Brink, Camiel J. F. Boon, Arthur A. Bergen
2021 International Journal of Molecular Sciences  
Conclusions: Our Lrat−/− rat is a new animal model for retinal dystrophy, especially for the LRAT-subtype of early-onset retinal dystrophies.  ...  Lrat−/− animals showed progressively reduced ERG potentials compared to wildtype controls from two weeks of age onwards. Vison-based behavioral assays confirmed reduced vision.  ...  Acknowledgments: The authors thank Mary van Schooneveld for the thourough clinical examintation of the patients, Leon Begthel for his help during the in vivo studies and Roos-Sanne Verkerk for her hands-on  ... 
doi:10.3390/ijms22137234 fatcat:gkltxjl4zvdplalzr2whrhuugu

The value of digital imaging in diabetic retinopathy

P Sharp, J Olson, F Strachan, J Hipwell, A Ludbrook, M O'Donnell, S Wallace, K Goatman, A Grant, N Waugh, K McHardy, J Forrester
2003 Health Technology Assessment  
Non-UK purchasers will have to pay a small fee for post and packing. For European countries the cost is £2 per monograph and for the rest of the world £3 per monograph.  ...  Additionally the HTA website allows you either to pay securely by credit card or to print out your order and then post or fax it.  ...  The data on retinal flow which are subsequently calculated allow the construction of a two-dimensional image, where areas of healthy blood flow are attributed the brightest pixel density.  ... 
doi:10.3310/hta7300 fatcat:4qwigarakzdlrbbjotj2fnnyye
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