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Spontaneous retinal Venous Pulsations (SVP) are rhythmic changes in thecaliber of the central retinal vein and are observed in the optic disc region(ODR) of the retina. Its absence is a critical indicator of various ocular orneurological abnormalities. Recent advances in imaging technology have enabledthe development of portable smartphone-based devices for observing the retinaand assessment of SVPs. However, the quality of smartphone-based retinal videosis often poor due to noise and image jitting, which in return, can severelyobstruct the observation of SVPs. In this work, we developed a fully automatedretinal video stabilization method that enables the examination of SVPscaptured by various mobile devices. Specifically, we first propose an ODRSpatio-Temporal Localization (ODR-STL) module to localize visible ODR andremove noisy and jittering frames. Then, we introduce a Noise-Aware TemplateMatching (NATM) module to stabilize high-quality video segments at a fixedposition in the field of view. After the processing, the SVPs can be easilyobserved in the stabilized videos, significantly facilitating userobservations. Furthermore, our method is cost-effective and has been tested inboth subjective and objective evaluations. Both of the evaluations support itseffectiveness in facilitating the observation of SVPs. This can improve thetimely diagnosis and treatment of associated diseases, making it a valuabletool for eye health professionals.

Autonomous Stabilization of Retinal Videos for Streamlining Assessment of Spontaneous Venous Pulsations