The following is a summary of the “Quantitative approaches in multimodal fundus imaging: State of the art and future perspectives,” published in the January 2023 issue of Progress in retinal and eye research by Arrigo, et al.
When it was first introduced, multimodal fundus imaging completely altered the diagnostic process and revealed groundbreaking new information about the causes of fundus diseases. The recent incorporation of quantitative methods has greatly increased the scope of available data. However, despite a growing interest in advanced quantitative metrics, the scientific community still needs to settle on repeatable, standardized quantitative techniques to process and analyze images.
Imaging artifacts will also majorly impact how quantitative data is analyzed and used, casting doubt on their accuracy. This review aims to provide a synopsis of the most important multimodal imaging techniques, including a discussion of their advantages and disadvantages. They also provide a detailed analysis of popular quantitative imaging metrics’ technical characteristics, limitations, and interpretation.
They also detail the most prominent imaging artifacts and how they may affect image quality and consistency. With the potential shift towards AI-based analyses comes the call for improved imaging technology that incorporates transparent, standardized post-processing protocols and the creation of more refined quantitative metrics. These steps are becoming necessary immediately if these analyses are to make the transition from the laboratory to clinical practice.
Source: sciencedirect.com/science/article/pii/S1350946222000714
