Automated measurement of retinal vascular tortuosity.
Automatic measurement of blood vessel tortuosity is a useful capability for automatic ophthalmological diagnostic tools. We describe a suite of automated tortuosity measures for blood vessel segments extracted from RGB retinal images. The tortuosity measures were evaluated in two classification tasks: (1) classifying the tortuosity of blood vessel segments and (2) classifying the tortuosity of blood vessel networks. These tortuosity measures were able to achieve a classification rate of 91% for the first problem and 95% on the second problem, which confirms that they capture much of the ophthalmologists' notion of tortuosity.
Hart
W E
WE
Applied & Numerical Math Dept., Sandia National Laboratories. wehart@cs.sandia.gov
Goldbaum
M
M
Côté
B
B
Kube
P
P
Nelson
M R
MR
D005654:Fundus Oculi; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D016015:Logistic Models; D012164:Retinal Diseases / Q000145:classification*; D012171:Retinal Vessels / Q000473:pathology*