New Automated Method Developed for Corneal Nerve Fiber Tortuosity Analysis
The Intelligent Medical Imaging (iMED) Group at the Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering (CNITECH) of the Chinese Academy of Sciences proposed a fully automated method for image-level corneal nerve fiber tortuosity estimation, contributing to the examination and diagnosis of eye-related diseases, according to a report in Medical Xpress.
The study was published in IEEE Transactions on Medical Imaging.
Existing clinical research suggests that the morphological changes in anatomical curvilinear structures, such as blood vessels or nerve fibers, are closely linked to various diseases. Tortuosity is one of the most significant biomarkers reflecting variations in corneal nerve fibers, serving as a significant clinical parameter to assess eye-related diseases, like hypertensive retinopathy and diabetic neuropathy.