Enhanced Functional OCT Image Data Processing through Synergistic Combinations

This inventive concept integrates functional OCT image data processing with advanced technologies like AI, blockchain, IoT, and more to provide a more powerful system for analyzing retinal responses to light stimuli.

The original patent's functional OCT image data processing has limitations in terms of accuracy, security, and scalability. This new concept addresses these limitations by incorporating synergistic combinations of distinct technologies to enhance the processing of functional OCT image data.

The inventive concept involves integrating an OCT imaging device with advanced technologies such as artificial intelligence algorithms, blockchain-based secure data processing, machine learning algorithms, IoT-based data transmission protocols, graph-based neural networks, and natural language processing algorithms to calculate the rolling window correlation between OCT image data and stimulus indicators. This enables the generation of a more accurate indication of a response of the retina to the light stimulus, as well as enhanced security, scalability, and visualization capabilities.

The new claims introduce novel combinations of functional OCT image data processing with advanced technologies, providing an inventive step beyond the original patent. The use of AI, blockchain, IoT, and other technologies enables a more powerful and efficient system for analyzing retinal responses.

Alternative embodiments may include using different AI algorithms, blockchain protocols, or IoT transmission protocols. Variations may also include integrating the inventive concept with other medical imaging modalities or using it for analyzing responses to different types of stimuli.

The enhanced functional OCT image data processing system has potential commercial applications in the medical imaging industry, particularly in ophthalmology and optometry. The target market includes hospitals, clinics, and research institutions seeking to improve their retinal analysis capabilities.