Written in Blood: Applying Shape Grammars to Retinal Vasculatures
Written in Blood: Applying Shape Grammars to Retinal Vasculatures
复制标题
用血写成:将形状语法应用于视网膜脉管系统
DOI:
10.1167/tvst.9.9.36
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发表时间:
2020
影响因子:
3
通讯作者:
Cagan, Jonathan
中科院分区:
文献类型:
--
作者:
Yeh, Ryan Y.;Nischal, Ken K.;LeDuc, Philip;Cagan, Jonathan
Purpose: Blood vessel networks within the retina are crucial for maintaining tissue perfusion and therefore good vision. Their complexity and unique patterns often require a steep learning curve for humans to identify trends and changes in the shape and topology of the networks, even though there exists much information important to identifying disease within them.Methods: Through image processing, the vasculature is isolated from other features of the fundus images, forcing the viewer to focus on the complex vascular feature. This article explores an approach using a grammar based on shape to describe retinal vasculature and to generate realistic and increasingly unrealistic artificial vascular networks that are then reviewed by ophthalmologists via digital survey. The ophthalmologists are asked whether these artificial vascular networks appeared realistic or unrealistic.Results: With only three rules (initiate, branch, and curve), the grammar accomplishes these goals. Networks are generated by adding noise to rule parameters present in existing networks. Via the survey of synthetic networks generated with different noise parameters, a correlation between noise in the branch rule and realistic association is revealed.Conclusions: By creating a language to describe retinal vasculature, this article allows for the potential of new insight into such an important but less understood feature of the retina, which in the future may play a role in diagnosing or helping to predict types of ocular disease.Translational Relevance: Applying shape grammar to describe retinal vasculature permits new understanding, which in turn provides the potential for new diagnostic tools.
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DOI:
10.1109/mvhi.2010.182
发表时间:
2010
期刊:
2010 International Conference on Machine Vision and Human-machine Interface
影响因子:
--
作者:
Xuemei Liu;Huan Liu;A. Hao;Qinping Zhao
通讯作者:
Qinping Zhao
DOI:
10.15676/ijeei.2015.7.4.14
发表时间:
2016
期刊:
2010 International Conference on Machine Vision and Human-machine Interface
影响因子:
--
作者:
G. Hichem;Fraj Chouchene;H. Belmabrouk
通讯作者:
H. Belmabrouk
影响因子:
120.7
作者:
Gulshan, Varun;Peng, Lily;Webster, R.
通讯作者:
Webster, R.
影响因子:
5
作者:
Bhaskaranand, Malavika;Ramachandra, Chaithanya;Solanki, Kaushal
通讯作者:
Solanki, Kaushal