Quantitative image sequence analysis of fundus fluorescein angiography

Interpretation of retinal angiographic studies has heretofore been largely qualitative, The temporal properties associated with fluorescein fluorescen ce of normal and pathologic fundus features are quantified to potentiate pi xel assignment and fundus feature quantitation for clinical studies where p recise image metrology is vital. Fluorescein angiography studies were digit ized, and temporally sequential images were spatially registered with polyn omial warping algorithms, allowing for the construction of a three-dimensio nal angiogram vector. Temporal profiles through spatially registered, tempo rally sequential pixels were computed. Fundus feature fluorescence behavior was quantified. Fundus features may be discriminated on the basis of spati o-temporal fluorescein fluorescence properties. Pixel assignment based on s patio-temporal relationships will facilitate fundus feature quantitation.