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Volumetrically tracking retinal and choroidal structural changes in central serous chorioretinopathy.
Biorxiv : the Preprint Server for Biology
|October 2, 2023
Summary
A new algorithm registers optical coherence tomography scans for central serous chorioretinopathy (CSCR) without layer segmentation. This tool aids in automatically monitoring disease progression and treatment response.
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 layer segmentation and 3-D visualization, hindering efficient assessment.
- Accurate monitoring of CSCR progression and treatment efficacy is crucial for patient management.
Approach:
- Developed a novel algorithm for registering OCT scans from different patient visits.
- The algorithm does not require prior retinal layer segmentation for accurate alignment.
- Calculated three-dimensional (3-D) structural change maps to visualize CSCR-related pathologies.
Key Points:
- The new algorithm enables automated registration of OCT scans for CSCR patients.
- It bypasses the need for intricate retinal layer segmentation, simplifying pre-processing.
- Generated 3-D structural change maps provide clear visualization of disease evolution.
Conclusions:
- The developed tool facilitates automatic monitoring of CSCR progression.
- It effectively reveals pathological resolution following treatment with minimal pre-processing.
- This approach offers a valuable aid for clinicians in assessing CSCR and its response to therapy.
