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24 March 2016 Detection and measurement of retinal blood vessel pulsatile motion
Di Xiao, Shaun Frost, Janardhan Vignarajan, Dong An, Mei-Ling Tay-Kearney, Yogi Kanagasingam
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Proceedings Volume 9785, Medical Imaging 2016: Computer-Aided Diagnosis; 97852C (2016) https://doi.org/10.1117/12.2217339
Event: SPIE Medical Imaging, 2016, San Diego, California, United States
Abstract
Retinal photography is a non-invasive and well-accepted clinical diagnosis of ocular diseases. Qualitative and quantitative assessment of retinal images is crucial in ocular diseases related clinical application. Pulsatile properties caused by cardiac rhythm, such as spontaneous venous pulsation (SVP) and pulsatile motion of small arterioles, can be visualized by dynamic retinal imaging techniques and provide clinical significance. In this paper, we aim at vessel pulsatile motion detection and measurement. We proposed a novel approach for pulsatile motion measurement of retinal blood vessels by applying retinal image registration, blood vessel detection and blood vessel motion detection and measurement on infrared retinal image sequences. The performance of the proposed methods was evaluated on 8 image sequences with 240 images. A preliminary result has demonstrated the good performance of the method for blood vessel pulsatile motion observation and measurement.
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Di Xiao, Shaun Frost, Janardhan Vignarajan, Dong An, Mei-Ling Tay-Kearney, and Yogi Kanagasingam "Detection and measurement of retinal blood vessel pulsatile motion", Proc. SPIE 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 97852C (24 March 2016); https://doi.org/10.1117/12.2217339
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KEYWORDS
Blood
Image processing
Electroluminescence
Motion detection
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