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Abstract #82867 Published in IGR 20-4

A novel method for retinal vessel segmentation and diameter measurement using high speed video

Rezaeian M; Butlin M; Golzan SM; Graham SL; Avolio AP
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 2781-2784

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Studying dynamic characteristics of retinal vessels, as opposed to static measures, may provide additional insight into pathophysiological changes associated with local and systemic abnormalities such as glaucoma and hypertension. Various approaches have been developed to derive static biomarkers from retinal still images, but not many for dynamic analysis of video sequences. This study presents a novel method for the assessment of time-dependent diameter changes in high-speed videos (125 fps) from the rat retina. The proposed method is composed of a vessel segmentation and a diameter measurement module. The specificity and sensitivity of the segmentation method over 25 images were 95.1% and 97.3% respectively. The mean and standard deviation of the diameter measurement errors were -0.147±0.41 pixels over 100 measurements.

Full article

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Classification:

6.9.5 Other (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis)
6.11 Bloodflow measurements (Part of: 6 Clinical examination methods)

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