At the Pulse of Time: Machine Vision in Retinal Videos

2022
Timothy Hamann, Maximilian Wiest, Antons Mislēvičs, Andrejs Bondarenko, Sandrine Zweifel

Spontaneous venous pulsations (SVP) are a common finding in healthy people. The absence of SVP is associated with rapid progression in glaucoma and increased intracranial pressure. Traditionally, SVP has been documented qualitatively by clinicians during biomicroscopy. Nowadays numerous imaging devices recording the fundus exist. Hence, video data for objectification of SVP is readily available. Still, these clinical datasets are afflicted with various quality issues and artifacts. In this machine vision based study, we explore methods to overcome challenges in identifying SVP in fundus videos of varying quality and provide a detailed protocol thereof. Hereby, we aim to lower the burden of access of implementing machine vision in clinical video datasets and quantification of SVP.

Keywords
Glaucoma; Intracranial pressure; Machine vision; Neuro-ophthalmology; Spontaneous venous pulsations
DOI
10.1007/978-3-030-85292-4_34
Hyperlink
https://link.springer.com/chapter/10.1007/978-3-030-85292-4_34

Hamann, T., Wiest, M., Mislēvičs, A., Bondarenko, A., Zweifel, S. At the Pulse of Time: Machine Vision in Retinal Videos. In: Machine Learning in Clinical Neuroscience: Foundations and Applications. Acta Neurochirurgica Supplementum. Vol.134. Cham: Springer, 2022. pp.303-311. ISBN 978-3-030-85291-7. e-ISBN 978-3-030-85292-4. ISSN 0065-1419. e-ISSN 2197-8395. Available from: doi:10.1007/978-3-030-85292-4_34

Publication language
English (en)