Next-Generation Angiographic Examination System

A paradigm-shifting angiographic examination system that leverages advanced multi-modal imaging, machine learning, and robotics to revolutionize vascular treatment planning and stent graft placement.

The original patent described an angiographic examination method for depicting a target region inside a patient with a vascular system. However, it relied on traditional X-ray systems and manual instrument navigation, limiting its accuracy and efficiency. The new inventive concept addresses these limitations by integrating cutting-edge technologies to provide real-time guidance, personalized treatment planning, and autonomous instrument navigation.

The next-generation angiographic examination system comprises a multi-modal imaging module that generates high-resolution 3D images of the vascular system. A machine learning-based analysis module predicts optimal stent graft placement and orientation, while a patient-specific modeling module generates detailed 3D models of the vascular system for personalized treatment planning. The system also includes a simulation module for predicting treatment outcomes based on various stent graft configurations. Additionally, a robotic arm module enables precise instrument navigation, and a real-time feedback module adjusts stent graft placement based on live fluoroscopy images. The system can also be equipped with a deep learning-based image analysis module for detecting vascular anomalies and a visualization module for highlighting them in 3D space.

The new inventive concept's integration of advanced multi-modal imaging, machine learning, and robotics represents a significant departure from the original patent's traditional X-ray-based approach. The use of machine learning for predicting optimal stent graft placement and orientation, as well as the robotic arm module for autonomous instrument navigation, are particularly novel and non-obvious features that overcome the limitations of the original patent.

Alternative embodiments of the inventive concept could include the use of different imaging modalities, such as MRI or ultrasound, or the integration of other machine learning algorithms for predicting treatment outcomes. Additionally, the system could be adapted for use in other medical specialties, such as cardiology or neurology.

The next-generation angiographic examination system has significant commercial potential in the medical device industry, particularly in the fields of vascular surgery and interventional cardiology. The system's ability to provide real-time guidance, personalized treatment planning, and autonomous instrument navigation could revolutionize the way vascular procedures are performed, improving patient outcomes and reducing healthcare costs.