Fiducial Marker Co-Registration of Intravascular and Extravascular Data
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Solution Overview
Problem
Existing imaging technologies struggle to integrate and co-register intravascular and extravascular data effectively, limiting the accuracy and efficiency of vascular clinical procedures.
Innovation Solution
A method and system for registering intravascular data with extravascular data, such as angiography and optical coherence tomography, by superimposing features and locations in real-time, using machine learning models and fiducial markers to enhance accuracy and reduce the need for contrast agents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If intravascular and extravascular data are integrated and co-registered in real-time, then the accuracy of vascular procedures is improved, but the device complexity and processing requirements increase
Solution Approach 1:
The patent uses fiducial markers as intermediary objects that appear in both intravascular and extravascular imaging modalities. These markers serve as reference points that enable co-registration between the two different imaging systems, bridging the gap between intravascular (e.g., OCT, IVUS) and extravascular (e.g., angiography, CT) data without requiring complex direct transformation algorithms
Solution Approach 2:
The patent creates a virtual copy or model of the vascular anatomy by integrating intravascular imaging data with extravascular angiography data. This registered model allows operators to visualize and plan procedures using the combined information, improving accuracy without requiring simultaneous operation of all imaging systems
2Productivity
If real-time integration of intravascular and extravascular data is implemented, then procedure efficiency is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent performs data pre-processing and feature extraction before the actual co-registration process. By preparing the data in advance and identifying key features (such as fiducial marker locations, vessel contours) beforehand, the system reduces the computational burden during real-time integration, allowing faster processing without sacrificing accuracy
3Loss of information
If multiple imaging modalities are combined, then the information completeness is improved, but the difficulty of detecting and measuring features increases
Solution Approach 1:
The patent employs fiducial markers that are universally detectable across multiple imaging modalities. These markers can be visualized in both intravascular (OCT, IVUS) and extravascular (angiography, fluoroscopy) imaging systems, providing a common reference framework that simplifies feature detection and measurement across different data types
Data Source
AI summary
Provided herein are systems and methods for registering extravascular and intravascular data.


