Cardiac Roadmap Registration via Configuration Reference Map
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for registering 2D fluoroscopic images with 3D data during endovascular interventions face challenges, particularly in large vascular structures where the intervention device's position is ambiguous due to size differences, leading to inaccurate registrations without contrast medium injection.
Innovation Solution
An apparatus and method utilizing a configuration reference map that matches intervention device information with reference object information, enabling accurate registration by exploiting known device characteristics and anatomical contexts, allowing for improved roadmap image data generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If intervention device based registration is used in large vascular structures, then the procedure complexity is reduced and contrast medium injection is avoided, but the registration accuracy deteriorates due to ambiguous device positioning
Solution Approach 1:
The patent introduces a configuration reference map as an intermediary that links intervention device configurations to anatomical structures. This map serves as a mediator between the intervention device and the vascular anatomy, enabling accurate registration by providing pre-established correspondence relationships without requiring direct device-anatomy matching or contrast medium injection
Solution Approach 2:
The configuration reference map is prepared in advance by establishing correspondence between intervention device configurations and anatomical structures before the actual intervention. This preliminary action creates a lookup table that can be quickly referenced during the procedure, eliminating the need for real-time complex matching and improving both speed and accuracy
2Measurement precision
If contrast medium injection is used to enable vessel discernment, then the registration accuracy is improved, but the patient exposure to contrast medium increases and the procedure time is extended
Solution Approach 1:
The patent uses a configuration reference map that contains pre-stored anatomical configuration data as a copy or representation of the actual vascular anatomy. This digital copy allows registration to be performed using the reference map instead of requiring real-time contrast medium injection to visualize vessels, thereby eliminating contrast medium exposure while maintaining registration accuracy
3Quantity of substance
If bony structures are used for registration without contrast medium, then the contrast medium quantity is reduced, but the registration accuracy deteriorates due to indirect registration through proximal structures
Solution Approach 1:
The configuration reference map enables local quality matching by establishing specific correspondence relationships between intervention device configurations and local anatomical structures at the target site. This allows direct registration at the location of interest rather than indirect registration through distant bony structures, improving accuracy while avoiding contrast medium use
Data Source
AI summary
In cardiac roadmapping, a “roadmap”, which is typically a representation of the vasculature of a patient obtained via previously acquired data from a CT scan, is overlaid on live intervention data, showing the position of an intervention device obtained using fluoroscopy. In this way, the intervention device may be tracked inside a realistic representation of the patient. The accurate registration of the fluoroscopic image to the roadmap data is an important step, otherwise the reported live position of the intervention device would not be shown at an accurate position inside the roadmap. Registration can be performed by the injection of contrast medium. In the case of cardiac roadmapping, the small vessel diameters mean that it is possible to register intervention devices directly. However, the behavior of intervention devices in larger vessels is difficult to predict, and so device-based registration is harder to achieve in such a context. By detecting the presence of a specific intervention device and a specific vascular context, an accurate registration of the intervention device to the 3D roadmap can be provided via comparison to a library of known device configurations.