Automated quantification of retinal non-perfusion areas in ultra-widefield SS-OCTA image of patient with retinal vascular diseases by NP-Unet model.

ABSTRACT:

Purpose

Retinal non-perfusion areas (NPAs) are a crucial biomarker for assessing the degree of retinal ischaemia of patients with retinal vascular diseases. Accurate identification of NPA is useful for assessing therapeutic approaches, guiding laser treatments and predicting prognosis. The ultra-widefield swept-source optical coherence tomography angiography (UWF-SS-OCTA) has emerged as a superior non-invasive imaging modality with an outstanding ability to detect NPA. This study aimed to establish an efficient NP-Unet model to accurately segment and quantify NPA in the UWF-SS-OCTA image of branch retinal vein occlusion (BRVO), central RVO (CRVO) and diabetic retinopathy (DR).

Methods

The 29×24 mm retinal images from the posterior pole of patients with retinal vascular disea

SUBMITTER: Zhu Y 

PROVIDER: S-EPMC12636976 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature