Synergistic Imaging Systems for Enhanced Lesion Diagnosis

The invention integrates diffuse optical tomography (DOT) with artificial intelligence (AI), Internet of Things (IoT), and blockchain technologies to create a powerful system for optimizing functional images of lesion regions, enabling more accurate diagnoses and personalized treatment.

The original patent, 'Systems and methods of optimizing functional images of a lesion region using guided diffuse optical tomography,' addressed the limitations of traditional imaging methods in breast cancer diagnosis. However, it did not leverage the potential of AI, IoT, and blockchain to further enhance the accuracy and efficiency of lesion diagnosis. The new inventive concept bridges this gap by integrating these technologies to provide a more comprehensive and secure diagnostic platform.

The synergistic imaging system consists of a DOT device, an AI module for predictive diagnosis, an IoT-enabled sensor module for environmental factor monitoring, and a blockchain-based data storage module for secure storage and sharing of functional images. The system acquires lesion functional data using the DOT device, transmits it to the AI module for analysis, and generates optimized functional images using the blockchain-based data storage module. The IoT-enabled sensor module integrates environmental factors with the lesion functional data to provide a comprehensive diagnosis. The system can be used for detecting vasculature distribution, assessing malignancy, and reducing biopsies of low-risk benign tumors.

The new inventive concept introduces the synergistic integration of DOT with AI, IoT, and blockchain technologies, which is not obvious from the original patent. The combination of these technologies enables a more accurate, efficient, and secure diagnostic platform, overcoming the limitations of traditional imaging methods.

Alternative embodiments of the inventive concept could include the use of different AI algorithms, IoT sensor configurations, or blockchain protocols. Variations could also involve the integration of additional technologies, such as machine learning or natural language processing, to further enhance the diagnostic capabilities of the system.

The synergistic imaging system has significant commercial potential in the medical imaging industry, particularly in the areas of breast cancer diagnosis, tumor detection, and personalized medicine. The system's ability to provide accurate and secure diagnoses could lead to improved patient outcomes, reduced healthcare costs, and increased market share for companies that adopt this technology.