Volumetrically tracking retinal and choroidal structural changes in central serous chorioretinopathy

Area of Science:

• Ophthalmology
• Medical Imaging
• Biomedical Engineering

Background:

• Central serous chorioretinopathy (CSCR) causes subretinal fluid and retinal thickness changes, detectable via optical coherence tomography (OCT).
• Current quantification methods for CSCR often require complex retinal layer segmentation and 3-D visualization, hindering efficient assessment.

Purpose of the Study:

• To develop and validate an algorithm for registering OCT scans from different visits in CSCR patients.
• To create 3-D structural change maps for CSCR monitoring without prior layer segmentation.

Main Methods:

• Developed a novel algorithm for OCT scan registration across multiple visits.
• Calculated 3-D structural change maps using the developed algorithm.
• Minimal pre-processing required, avoiding complex layer segmentation.

Main Results:

• The algorithm successfully registered OCT scans without requiring layer segmentation.
• Generated 3-D structural change maps effectively visualized CSCR pathologies.
• Demonstrated utility in monitoring disease progression and treatment response.

Conclusions:

• The developed algorithm offers an automated and efficient tool for assessing CSCR.
• This method facilitates the monitoring of disease progression and treatment efficacy.
• The tool simplifies the analysis of structural changes in CSCR using OCT data.