Stereo reconstruction from microscopic images for computer-assisted ophthalmic surgery.

ABSTRACT:

Purpose

This work presents a novel platform for stereo reconstruction in anterior segment ophthalmic surgery to enable enhanced scene understanding, especially depth perception, for advanced computer-assisted eye surgery by effectively addressing the lack of texture and corneal distortions artifacts in the surgical scene.

Methods

The proposed platform for stereo reconstruction uses a two-step approach: generating a sparse 3D point cloud from microscopic images, deriving a dense 3D representation by fitting surfaces onto the point cloud, and considering geometrical priors of the eye anatomy. We incorporate a pre-processing step to rectify distortion artifacts induced by the cornea's high refractive power, achieved by aligning a 3D phenotypical cornea geometry model to the ima

SUBMITTER: Peter R 

PROVIDER: S-EPMC11929700 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature