choroidSegmentation

choroidSegmentation segments and quantifies the choroidal layer in optical coherence tomography (OCT) volume reconstructions for quantitative analysis of choroidal physiology.

Key Features:

• Automatic Segmentation: Automates delineation of the choroidal layer from 3D OCT volume reconstructions, replacing manual B-scan tracing.
• Open Source License: Distributed under the GNU General Public License (GPL).
• Robust Algorithm Design: Designed to handle variations in image quality in 3D OCT reconstructions to provide consistent segmentation results.
• Validation and Benchmarking: Subjected to validation and benchmarking to assess segmentation accuracy and reliability.

Scientific Applications:

• Ocular disease research: Enables quantitative analysis of choroidal morphology in studies of ocular diseases involving choroidal physiology.
• Disease mechanisms and progression: Supports investigation of disease mechanisms, progression, and treatment response through automated choroidal measurements from OCT.
• Volumetric analysis: Processes 3D OCT reconstructions to enable comprehensive volumetric analyses of the choroid.

Methodology:

The algorithm identifies and quantifies the choroidal layer within OCT volume data using advanced image processing techniques applied to 3D OCT reconstructions; implementation is on MATLAB Central File Exchange and licensed under the GNU GPL.