Intelligent Image Registration System for Multi-Modal Imaging

The present inventive concept integrates the original image registration system with advanced technologies like AI, IoT, blockchain, and novel materials to create a more accurate, secure, and personalized system for registering x-ray and ultrasound images in real-time.

The original image registration system had limitations in terms of accuracy, security, and personalization. The new inventive concept addresses these limitations by leveraging synergistic combinations of distinct technologies to improve the registration process, enabling more effective image-guided interventions and personalized medicine.

The system comprises a beamforming ultrasound probe, an X-ray imaging device, and an AI-based image registration module that utilizes machine learning algorithms to improve the accuracy of image registration. The system can also utilize an IoT-based communication network to transmit images to a cloud-based server for registration and analysis. Additionally, a blockchain-based data storage module can securely store and manage patient data and image registration information. In another embodiment, a novel material-based sensor can detect and track the movement of the medical device in real-time, enabling automated image registration. The system can further integrate image registration data with patient-specific data using an AI-based analytics module to provide personalized treatment recommendations.

The new claims introduce novel combinations of AI, IoT, blockchain, and novel materials with the original image registration system, providing an inventive step in the field of multi-modal imaging. The integration of these distinct technologies enables a more accurate, secure, and personalized system for registering x-ray and ultrasound images in real-time.

Other embodiments of the inventive concept could include the use of different AI algorithms, alternative IoT communication protocols, or various blockchain architectures. Additionally, the system could be adapted for use in different medical specialties or integrated with other medical imaging modalities.

The intelligent image registration system has significant commercial potential in the medical imaging industry, particularly in the fields of image-guided interventions and personalized medicine. The system could be marketed to hospitals, clinics, and medical research institutions, and could also be used in various medical specialties such as cardiology, oncology, and neurology.