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Measurement of Retinal Vessel Widths From Fundus Images Based on 2-D Modeling

J. Lowell, A. Hunter, D. Steel, A. Basu, R. Ryder, R.L. Kennedy
2004 IEEE Transactions on Medical Imaging  
The diameter measurement is based on a two-dimensional difference of Gaussian model, which is optimized to fit a two-dimensional intensity vessel segment.  ...  Obtaining precise measurements of vascular widths is a critical and demanding process in automated retinal image analysis as the typical vessel is only a few pixels wide.  ...  This paper introduces a new algorithm, based on fitting a local 2D vessel model, which can measure vascular width to an accuracy of about one third of a pixel.  ... 
doi:10.1109/tmi.2004.830524 pmid:15493688 fatcat:b2evkgev6ngfhnmvcd5vae3xhi

A Review on the Extraction of Quantitative Retinal Microvascular Image Feature

Kuryati Kipli, Mohammed Enamul Hoque, Lik Thai Lim, Muhammad Hamdi Mahmood, Siti Kudnie Sahari, Rohana Sapawi, Nordiana Rajaee, Annie Joseph
2018 Computational and Mathematical Methods in Medicine  
This paper will also review recent research on the image processing-based extraction techniques of the quantitative retinal microvascular feature.  ...  Various diagnostic techniques are used to analyze retinal microvasculature image to enable geometric features measurements such as vessel tortuosity, branching angles, branching coefficient, vessel diameter  ...  ] An adaptive model to measure the width of retinal vessels in fundus photographs.  ... 
doi:10.1155/2018/4019538 pmid:30065780 pmcid:PMC6051289 fatcat:cdobi3d3vjgp5atzuponk7xgre

Predicting CT-Based Coronary Artery Disease Using Vascular Biomarkers Derived from Fundus Photographs with a Graph Convolutional Neural Network

Fan Huang, Jie Lian, Kei-Shi Ng, Kendrick Shih, Varut Vardhanabhuti
2022 Diagnostics  
The CCTA scans were stratified by CAD-RADS scores by expert readers, and the vascular biomarkers were extracted from their fundus images.  ...  This study first examined the association between retinal vascular changes and the Coronary Artery Disease Reporting and Data System (CAD-RADS) as assessed on CCTA.  ...  In brief, let d 0 , d 1 and d 2 be the width of parent vessel and its daughter vessels, θ 1 and θ 2 be the angle between two daughter vessels and the parent vessels, and θ be the angle between the two  ... 
doi:10.3390/diagnostics12061390 pmid:35741200 pmcid:PMC9221688 fatcat:fccdlkoxozatlci5rd5k6ll7eq

Vessel Boundary Delineation on Fundus Images Using Graph-Based Approach

Xiayu Xu, Meindert Niemeijer, Qi Song, Milan Sonka, Mona K. Garvin, Joseph M. Reinhardt, Michael D. Abramoff
2011 IEEE Transactions on Medical Imaging  
This paper proposes an algorithm to measure the width of retinal vessels in fundus photographs using graph-based algorithm to segment both vessel edges simultaneously.  ...  Index Terms Graph-based segmentation; retinal photography; vessel width measurement  ...  In addition to AV-ratio analysis, automated determination of vessel width measurement based on segmentation of both vessel boundaries would also allow the geometry of the retinal vessels to be quantified  ... 
doi:10.1109/tmi.2010.2103566 pmid:21216707 pmcid:PMC3137950 fatcat:aqexnhqnxbbznjrc7fycmyk4em


2014 Journal of Computer Science  
Retinal vessel diameter was measured based on blood vessel wall estimating on the digital fundus image.  ...  In this study we develop new method based on computer aided to determine the width of retinal blood vessels by analysing the color fundus image.  ...  Xu et al. (2011) introduced amethod to segment the two blood vessel edges in fundus image using the graph-based algorithm to facilitate measuring the diameter of retinal blood vessels.  ... 
doi:10.3844/jcssp.2014.879.883 fatcat:xpygfmxs7bftraguiibpmoo3se

The application of retinal fundus camera imaging in dementia: A systematic 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
2017 Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring  
Methods: A systematic review and meta-analysis was carried out to assess the measurement of retinal properties in dementia using fundus imaging.  ...  Future work should focus on refining and standardizing methods and measurements.  ...  Conflicts of interest: The authors do not have any conflicts of interest.  ... 
doi:10.1016/j.dadm.2016.11.001 pmid:28229127 pmcid:PMC5312461 fatcat:3whwhprqdvg6fezxlbxgcyr5si

Comparative assessment of retinal vasculature using topological and geometric measures

Denis Fan, Abhir Bhalerao, Roland Wilson, J. Michael Fitzpatrick, Joseph M. Reinhardt
2005 Medical Imaging 2005: Image Processing  
We present a quantitative method for the comparison of vascular topology and geometry measured from retinal fundus photographs.  ...  We have tested out the measures on a set of 20 images from the STARE project data [3] .  ...  We have compared our own vessel segmentation method [1] based on a statistical random tree model (RTM) of the vessel topology and a popular technique that uses matched filtering(MSF) [2] on a set of  ... 
doi:10.1117/12.595914 dblp:conf/miip/FanBW05 fatcat:j5mclaum3ndyhjyqpjomccva4m

Quantitative measurement of changes in retinal vessel diameter in ocular fundus images

L. Pedersen, M. Grunkin, B. Ersbøll, K. Madsen, M. Larsen, N. Christoffersen, U. Skands
2000 Pattern Recognition Letters  
The width or diameter measurement is based on intensity pro®les orthogonal to a smoothed trace in the vessel found by Dijkstra's shortest path algorithm.  ...  The vessel diameter is calculated from the intensity pro®les using two dierent methods to estimate pro®le widths.  ...  Department of Ophthalmology, Herlev Hospital, University of Copenhagen is acknowledged for selecting and providing the image material.  ... 
doi:10.1016/s0167-8655(00)00084-2 fatcat:gde3iofrlvg7bc53yx7wnoxmxm

Computer-Aided Detection of Retinopathy of Prematurity Severity in Preterm Infants via Measurement of Temporal Vessel Width and Angle

Yo-Ping Huang, Spandana Vadloori, Eugene Yu-Chuan Kang, Wei-Chi Wu
2022 Frontiers in Pediatrics  
We also estimated retinal vessel width—temporal artery width (TAW) and temporal vein width (TVW)—by applying the Radon transform method to fundus images.  ...  Telescreening using retinal fundus images has the potential to reduce the burden engendered by the necessity of on-site screening.  ...  ACKNOWLEDGMENTS The authors appreciate the partial final support from both the National Taipei University of Technology and Chang Gung Memorial Hospital.  ... 
doi:10.3389/fped.2022.792724 pmid:35155307 pmcid:PMC8831837 fatcat:wz3ittnz3baapeifi2sdighx2u

Impact of Novel Image Preprocessing Techniques on Retinal Vessel Segmentation

Toufique A. Soomro, Ahmed Ali, Nisar Ahmed Jandan, Ahmed J. Afifi, Muhammad Irfan, Samar Alqhtani, Adam Glowacz, Ali Alqahtani, Ryszard Tadeusiewicz, Eliasz Kantoch, Lihong Zheng
2021 Electronics  
Our binarization steps contained the image coherence technique for the retinal blood vessels. The proposed method gives good performance on a database accessible to the public named DRIVE and STARE.  ...  Due to new tactics at each step of the proposed process, this blood vessel segmentation application is suitable for computer analysis of retinal images, such as automated screening for the early diagnosis  ...  Acknowledgments: Authors acknowledge the support from Najran University Saudi Arabia. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics10182297 fatcat:i632fbut2rd2li7kwz4n6x7on4

Automated identification of retinal vessels using a multiscale directional contrast quantification (MDCQ) strategy

Yi Zhen, Suicheng Gu, Xin Meng, Xinyuan Zhang, Bin Zheng, Ningli Wang, Jiantao Pu
2014 Medical Physics (Lancaster)  
The multiscale strategy is to deal with the variety of retinal vessels in width, intensity, resolution, and orientation; and the progressive fusion is to combine consequent images and meanwhile avoid a  ...  Purpose: A novel algorithm is presented to automatically identify the retinal vessels depicted in color fundus photographs.  ...  RO1 HL096613 from National Institutes of Health to the University of Pittsburgh, and 4132030 from Beijing Science Foundation to the National Engineering Research Center for Ophthalmic Equipments).  ... 
doi:10.1118/1.4893500 pmid:25186416 pmcid:PMC4149694 fatcat:aosiu2l7lrf7xji5e7zbmbdan4

Blur detection in fundus images

Alexandra A. Chernomorets, Andrey S. Krylov
2012 2012 5th International Conference on BioMedical Engineering and Informatics  
The blur value is obtained using an analysis of blood vessel edge widths. The paper presents the model of a general edge and the algorithm for edge width estimation.  ...  The paper addresses the problem of retinal image quality assessment. The problem of blur detection for retinal images is considered.  ...  Current approaches for retinal image quality determination are based on global image intensity histogram analysis [1] or on the analysis of the global edge histogram in combination with localized image  ... 
doi:10.1109/bmei.2012.6513030 dblp:conf/bmei/ChernomoretsK12 fatcat:son6tb3rhfhfdovixd4uknu2mi

A Modified Dolph-Chebyshev Type II Function Matched Filter for Retinal Vessels Segmentation

Dhimas Dharmawan, Boon Ng, Susanto Rahardja
2018 Symmetry  
Fundus images from the DRIVE and STARE databases, as well as high-resolution fundus images from the HRF database, are utilized to validate the proposed algorithm.  ...  In this paper, we present a new unsupervised algorithm for retinal vessels segmentation.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/sym10070257 fatcat:muce3f5hyfhpdbhkyezskxttfu

Comparative Analysis of Vessel Segmentation Techniques in Retinal Images

Azhar Imran, Jianqiang Li, Yan Pei, Ji-Jiang Yang, Qing Wang
2019 IEEE Access  
INDEX TERMS Vessel segmentation, retinal diseases, image segmentation, retinal fundus images, medical imaging. 114866 VOLUME 7, 2019 A.  ...  This survey presents a comparative analysis of various machine learning and deep learning-based methods for automated blood vessel segmentation in retinal images.  ...  A 2-D MF was introduced to detect the vessel in the retinal image based on piecewise linear segmentation.  ... 
doi:10.1109/access.2019.2935912 fatcat:64ycsdgecza4tkq3m5c7qs2r7m

Model Based Segmentation for Retinal Fundus Images [chapter]

Li Wang, Abhir Bhalerao
2003 Lecture Notes in Computer Science  
We present results of evaluations on a set of twenty digital fundus retinal images. This work is funded by UK EPSRC (GR/M82899/01)  ...  This paper presents a method for detecting and measuring the vascular structures of retinal images. Features are modelled as a superposition of Gaussian functions in a local region.  ...  After a description of the methodology, results are presented on a sample retinal fundus image.  ... 
doi:10.1007/3-540-45103-x_57 fatcat:g3likknyrfaytfknug4dwqfgtu
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