[EYECUBE as 3D multimedia imaging in macular diagnostics].

Area of Science:

• Ophthalmology
• Medical Imaging
• Computational Pathology

Background:

• The latest EYECUBE devices integrate angiography and optical coherence tomography (OCT) into 3D illustrations.
• Autofluorescence and indocyanine green (ICG) angiography can be correlated with OCT data.
• The study aimed to precisely classify and correlate various 2D diagnostic findings.

Purpose of the Study:

• To evaluate a new software feature for integrating multiple diagnostic imaging modalities in the EYECUBE system.
• To enable precise classification and comparison of macular findings.
• To assess the clinical utility in patients with macular disorders.

Main Methods:

• Utilized new EYECUBE software for integrating topographic images (red-free, autofluorescence) with Cirrus OCT data.
• Correlated various diagnostic findings captured within the same timeframe by projecting them onto a 3D cube surface.
• Tested the method's practical application on 45 eyes of patients with macular disorders, focusing on image quality and automated integration.

Main Results:

• Automated integration into the EYECUBE was largely successful in all patients (n=45 eyes) with good image quality.
• The system allows direct comparison of pathologies with OCT results by integrating data from various diagnostic procedures.
• The application's success is device-independent.

Conclusions:

• Enhanced precision in imaging and data handling allows comparative analysis of imaging, perfusion (FLA, ICG), and morphology (OCT) for macular diagnostics.
• Minimizing motion artifacts and ensuring reliable scan positioning significantly increases the diagnostic value of OCT.
• The integrated approach facilitates a comprehensive understanding of macular pathologies.