Gang Sun, Xiaoyan Liu, Ling Gao, Pu Zhang, Siyuan Wang, Yandan Zhou
Journal of Biomedical Optics, Vol. 23, Issue 06, 065006, (June 2018) https://doi.org/10.1117/1.JBO.23.6.065006
TOPICS: Image segmentation, Angiography, Sensors, Image processing, Blood circulation, Video, Retina, Eye, Data modeling, Arteries
Examination of the retinal circulation in patients with retinal diseases is a clinical routine for ophthalmologists. In the present work, an automatic method is proposed for measuring the global retinal circulation in fluorescein angiography (FA). First, the perfusion region in FA images is segmented using a multiscale line detector. Then, the time evolution of the perfusion area is modeled using damped least-squares regression. Based on the perfusion area profile, some circulation parameters are defined to describe quantitatively the global retinal circulation. The effectiveness of the proposed method is tested using our own and public datasets, with reasonable results and satisfactory accuracy compared with manual measurement. The proposed method has good computing efficiency and thus has potential to be used in clinical practice for evaluation of global retinal circulation.