Intravascular Data Coregistration with X-Ray Pathway Correction
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Solution Overview
Problem
Existing co-registration systems for intravascular data with extraluminal fluoroscopy images often inaccurately locate intravascular data points, leading to errors in vascular catheterization procedures and potentially requiring additional procedures.
Innovation Solution
A system that uses a processor circuit to receive x-ray images and intravascular ultrasound (IVUS) images, determining the location of an intravascular device in each x-ray image and generating a pathway for the IVUS images, which can be adjusted by the user for accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic co-registration systems are used to locate intravascular data points, then processing efficiency is improved, but location accuracy deteriorates due to errors in mapping intravascular data to x-ray images
Solution Approach 1:
The system allows users to review and correct automatically determined intravascular data point locations by displaying coregistered data on x-ray images. Users can pause the image stream and manually adjust indicator positions to match actual device locations, providing feedback that corrects registration errors and improves overall location accuracy while maintaining automated processing efficiency.
Solution Approach 2:
The system dynamically adjusts the pathway shape to match the actual intravascular device trajectory observed in x-ray images. The pathway can be modified in real-time based on user input, allowing the system to adapt from rigid automated mapping to flexible, observation-based correction, thereby improving location precision without sacrificing processing speed.
2Productivity
If automated pathway generation is used to map intravascular device locations, then workflow speed is improved, but the ability to detect and measure location errors worsens
Solution Approach 1:
The system continuously monitors and displays the coregistered intravascular data points overlaid on x-ray images, enabling users to visually detect location errors. The feedback mechanism allows users to compare the automated pathway against actual device positions and identify discrepancies, making error detection as easy as visual inspection while maintaining rapid workflow.
Solution Approach 2:
The system creates a visual copy of the intravascular device trajectory overlaid on the x-ray image pathway. This graphical representation allows users to easily compare the automated mapping with the actual device path, making it simple to detect and measure location errors without slowing down the workflow.
3Measurement precision
If manual correction of intravascular data locations is performed, then location accuracy is improved, but processing time increases
Solution Approach 1:
The system performs partial manual correction by allowing users to correct only the most significant location errors rather than requiring complete manual verification of all data points. Users can quickly identify and adjust only the problematic indicators while accepting the automated mapping for accurate segments, thereby improving overall accuracy without the time cost of full manual correction.
Solution Approach 2:
The real-time visual feedback system allows users to quickly identify and correct only the erroneous location mappings by displaying coregistered data points on x-ray images. This targeted feedback approach enables rapid correction of obvious errors without requiring time-consuming review of all data points, maintaining high accuracy with minimal time loss.
Data Source
AI summary
A co-registration system includes a processor circuit that corrects the location of an indicator identifying a radiopaque portion of an intravascular catheter shown in an x-ray image and corrects the shape of a pathway defined by the movement of the radiopaque portion. The processor circuit receives, from the x-ray imaging device, x-ray images of a blood vessel while the intravascular catheter/guidewire moves through the blood vessel. The processor circuit receives, from the catheter, intravascular data representative of the blood vessel while the catheter moves through the blood vessel. The processor circuit co-registers the intravascular data to an x-ray image received from the x-ray imaging device. The processor circuit also displays the location indicator identifying the location of the radiopaque portion of the catheter in each x-ray image. In response to a user input, the processor circuit moves the location indicator to a corrected location. The processor circuit also modifies the shape of the pathway of the catheter in response to a user input. The processor circuit then completes the co-registration process again after either of these changes are made.