Automated Analysis of Retinal Vascular Tortuosity on Color Retinal Images

2010 ◽  
Vol 36 (2) ◽  
pp. 689-697 ◽  
Author(s):  
Alauddin Bhuiyan ◽  
Baikunth Nath ◽  
Kotagiri Ramamohanarao ◽  
Ryo Kawasaki ◽  
Tien Yin Wong
1985 ◽  
Vol 191 (1) ◽  
pp. 57-60
Author(s):  
Erling Grønvold Olsen ◽  
Amund Ringvold ◽  
Sigvald B. Refsum

Information ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 466
Author(s):  
Francesco Martelli ◽  
Claudia Giacomozzi

A growing body of research in retinal imaging is recently considering vascular tortuosity measures or indexes, with definitions and methods mostly derived from cardiovascular research. However, retinal microvasculature has its own peculiarities that must be considered in order to produce reliable measurements. This study analyzed and compared various derived metrics (e.g., TI, TI_avg, TI*CV) across four existing computational workflows. Specifically, the implementation of the models on two critical OCT images highlighted main pitfalls of the methods, which may fail in reliably differentiating a highly tortuous image from a normal one. A tentative, encouraging approach to mitigate the issue on the same OCT exemplificative images is described in the paper, based on the suggested index TI*CV.


2019 ◽  
Vol 212 ◽  
pp. 26-32 ◽  
Author(s):  
Abhishek Appaji ◽  
Bhargavi Nagendra ◽  
Dona Maria Chako ◽  
Ananth Padmanabha ◽  
Arpitha Jacob ◽  
...  

2014 ◽  
Vol 26 (1) ◽  
pp. 25-40 ◽  
Author(s):  
Jihene Malek ◽  
Ahmad Taher Azar ◽  
Rached Tourki

2010 ◽  
Vol 51 (7) ◽  
pp. 3736 ◽  
Author(s):  
Victor Koh ◽  
Carol Yim-lui Cheung ◽  
Yingfeng Zheng ◽  
Tien Yin Wong ◽  
Wanling Wong ◽  
...  

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