Year: 2024
Type: article
Abstract: To analyze the biomechanical properties of the posterior sclera, we denoised OCT images and segmented them using the nnU-Net model. After obtaining the segmented tissues, we performed registration and calculated the deformation of the posterior eye tissues using mathematical methods. Finally, we combined the baseline images and the force-loaded images and trained an Attention 3D U-Net model to predict the deformation of the posterior sclera, i.e., to predict its 3D strain field. The model performance was evaluated using the mean absolute error (MAE), which was below 0.2.
Authors: Xubo Zhang, Yusong Wang, Siyuan Shao, Chongbao Zhou, Mingming Gong
Institutions: Henan University of Technology, IFlyTek (China)
Language: English
Topic: Retinal Imaging and Analysis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4409891314