A Review on the Extraction of Quantitative Retinal Microvascular Image Feature
Joint Authors
Lim, Lik Thai
Sahari, S. K.
Kipli, Kuryati
Hoque, Mohammed Enamul
Mahmood, Muhammad Hamdi
Sapawi, Rohana
Rajaee, Nordiana
Joseph, Annie
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-02
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
Digital image processing is one of the most widely used computer vision technologies in biomedical engineering.
In the present modern ophthalmological practice, biomarkers analysis through digital fundus image processing analysis greatly contributes to vision science.
This further facilitates developments in medical imaging, enabling this robust technology to attain extensive scopes in biomedical engineering platform.
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, and fractal dimension.
These extracted markers or characterized fundus digital image features provide insights and relates quantitative retinal vascular topography abnormalities to various pathologies such as diabetic retinopathy, macular degeneration, hypertensive retinopathy, transient ischemic attack, neovascular glaucoma, and cardiovascular diseases.
Apart from that, this noninvasive research tool is automated, allowing it to be used in large-scale screening programs, and all are described in this present review paper.
This paper will also review recent research on the image processing-based extraction techniques of the quantitative retinal microvascular feature.
It mainly focuses on features associated with the early symptom of transient ischemic attack or sharp stroke.
American Psychological Association (APA)
Kipli, Kuryati& Hoque, Mohammed Enamul& Lim, Lik Thai& Mahmood, Muhammad Hamdi& Sahari, S. K.& Sapawi, Rohana…[et al.]. 2018. A Review on the Extraction of Quantitative Retinal Microvascular Image Feature. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-21.
https://search.emarefa.net/detail/BIM-1131971
Modern Language Association (MLA)
Kipli, Kuryati…[et al.]. A Review on the Extraction of Quantitative Retinal Microvascular Image Feature. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-21.
https://search.emarefa.net/detail/BIM-1131971
American Medical Association (AMA)
Kipli, Kuryati& Hoque, Mohammed Enamul& Lim, Lik Thai& Mahmood, Muhammad Hamdi& Sahari, S. K.& Sapawi, Rohana…[et al.]. A Review on the Extraction of Quantitative Retinal Microvascular Image Feature. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-21.
https://search.emarefa.net/detail/BIM-1131971
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131971