Phase-free Cardiac Roadmapping via Global Registration
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Solution Overview
Problem
Current cardiac roadmapping techniques face inaccuracies in registering angiogram and live images due to phase-centric methods, leading to poor navigation and positioning of guidewires and devices during interventions, especially under cardiac and respiratory motion.
Innovation Solution
A global registration method that combines the pairing and registration of angiogram and live images within a single operation, using object enhancement techniques to identify key objects like the catheter injection tip and guidewire, and creating a multi-device map for improved accuracy without relying on phase measuring, enabling robust vessel-to-device registration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If phase-centric methods are used to register angiogram and live images, then the registration process is simplified, but the accuracy of navigation and positioning deteriorates due to cardiac and respiratory motions
Solution Approach 1:
The patent applies dynamics by making the registration process adaptive rather than static. The system continuously updates the roadmap overlay to match current cardiac and respiratory phases, transforming the registration from a fixed phase-centric approach to a dynamic process that adapts to ongoing physiological motions. This resolves the contradiction by maintaining simplicity while improving accuracy through real-time adaptation.
Solution Approach 2:
The patent implements feedback mechanisms by using extracted guidewire tip positions from live fluoroscopy to refine and adjust the roadmap registration. The system continuously compares expected guidewire positions with actual detected positions and uses this feedback to correct registration drift caused by cardiac and respiratory motions, thereby maintaining high navigation accuracy without increasing overall system complexity.
2Loss of time
If static diagnostic angiogram overlay is used during intervention, then the setup time is reduced, but the positioning accuracy deteriorates due to patient movements and vessel changes
Solution Approach 1:
The patent applies preliminary action by pre-extracting the vessel tree structure and creating the roadmap overlay before the intervention begins. This allows the basic registration to be established quickly, reducing setup time. The system then maintains positioning accuracy through continuous updates during the procedure, combining the benefits of quick setup with sustained accuracy.
Solution Approach 2:
The patent transforms the static overlay approach into a dynamic system that continuously updates the roadmap registration based on current physiological phases and detected device positions. This dynamic adaptation maintains positioning accuracy despite patient movements and vessel changes, while the initial setup remains quick due to the pre-established vessel tree extraction.
3Measurement precision
If guidewire tip extraction and registration is performed continuously, then the navigation accuracy is improved, but the computational load and processing time increase
Solution Approach 1:
The patent applies local quality by focusing computational resources on extracting and registering only the guidewire tip region rather than processing the entire image. The system identifies and processes only the radio-opaque guidewire tip area, applying sophisticated extraction algorithms locally to this small region while using simpler methods for the rest of the image, thereby maintaining high localization accuracy with reduced computational load.
Solution Approach 2:
The patent implements partial action by performing guidewire tip extraction and registration at selective intervals rather than continuously at full resolution. The system uses lower-resolution or simplified extraction methods between critical measurement points, applying full computational power only when precise localization is essential, thus balancing accuracy requirements with processing load constraints.
Data Source
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AI summary
According to an exemplary embodiment of the present invention, a cardiac roadmapping technique is provided, that does not rely on the prerequisite of a phase-centric pairing of the angiogram and life images. Instead, both the pairing and accurate registration of the images are combined within a single operation, for example by using a multi-device map. This may provide for robust and precise cardiac roadmapping.