«Development of a Patient-Specific Eye Model for Glaucoma Research»
Supervisor: Kharmysov Ch.
Funding Source: Internal university grant
Project Duration: 2021–2022
Funding Amount: 1,000,000 KZT
Funding Source: Internal university grant
Project Duration: 2021–2022
Funding Amount: 1,000,000 KZT
Project Objective
Development of automatic segmentation of optical coherence tomography (OCT) images
Three-dimensional reconstruction of segmented images
Creation of a 3D eye model
Results
An algorithm for automatic segmentation of CT images has been developed.
A total of 120 OCT images of the human eye were processed automatically.
An automated algorithm for three-dimensional reconstruction of morphological features of the optic nerve head (ONH) has been developed, enabling rapid determination of depth and volume parameters of the ONH structure.
A three-dimensional model of the eyeball has been constructed.
A scientific paper has been published: Chingis Kharmyssov, Alshyn Abduvalov, Konstantinos Kostas, Yerkin G. Abdildin, Zaure Dzhumatayeva. “Development of the Patient-Specific Ocular Models using Optical Coherence Tomography Images: Glaucoma Model”. 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST).