Mapping of Internal Features on En-Face Imagery
This technology leverages Optical Coherence Tomography (OCT) imaging in combination with specialized software to capture A-scans, B-scans, and en face images. It creates detailed composite maps of internal ocular structures, focusing on the aqueous humor outflow tract. A planning tool and mapping engine enable users to tag key features on cross-sectional images and translate these coordinates to two-dimensional surface maps. Advanced processing techniques, including split-spectrum amplitude decorrelation (SSADA) and pseudo-coloring, enrich the visualization by differentiating vessel types. Additional functional metrics, such as trabecular meshwork stiffness and vessel density from fluorescein canalograms, can be integrated to form comprehensive anatomical maps.
Description
This approach is differentiated by its bidirectional linking between volumetric OCT data and the surface maps, allowing seamless navigation between detailed cross-sectional slices and mapped representations. It offers an intuitive and interactive interface tailored to improve surgical planning for minimally invasive glaucoma procedures. The system’s ability to merge anatomical, functional, and biomechanical data sets it apart from traditional imaging methods, providing medical professionals with a more accurate, multi-layered understanding of ocular anatomy for enhanced clinical outcomes.Applications
- MIGS surgical planning- Advanced OCT imaging integration
- 3D ocular mapping
- Preoperative visualization system
Advantages
- Provides a comprehensive, multi-layered anatomical map for improved surgical planning in MIGS procedures.- Enables bidirectional navigation between surface maps and corresponding OCT slices for enhanced spatial orientation.
- Enhances visualization through advanced SSADA processing and pseudo-coloring to differentiate vessel types.
- Integrates additional functional data, such as trabecular meshwork stiffness and canalograms, for a holistic view of ocular structures.
- Facilitates more precise pre-operative planning by overcoming the limitations of traditional 2D OCT image interpretation.