Interventional Device Position Estimation Using IVUS Displacement
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Solution Overview
Problem
Current methods for determining the position of an interventional device inside a lumen, such as a catheter, face challenges with accuracy and real-time tracking due to the need for high-frame-rate X-ray imaging, leading to continuous ionizing radiation exposure and computational resource-intensive processes.
Innovation Solution
A system that combines X-ray imaging for initial position estimation with intravascular ultrasound (IVUS) for displacement estimation, using a processor to calculate improved position estimates based on the latest position and displacement, potentially with machine learning algorithms or Kalman filters, to reduce the frequency of X-ray frame acquisition and enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-frame-rate X-ray imaging is used to determine catheter position, then position estimation accuracy is improved, but ionizing radiation exposure increases
Solution Approach 1:
The patent combines fluoroscopy system (X-ray) and IVUS system (ultrasound) into an integrated COREG system. The fluoroscopy provides initial position estimates while IVUS provides displacement estimates, merging both data sources to calculate improved position estimates without requiring continuous high-frame-rate X-ray imaging, thus reducing radiation exposure while maintaining accuracy
Solution Approach 2:
The system performs preliminary position estimation using fluoroscopy at lower frame rates, then uses IVUS displacement measurements to update position estimates between fluoroscopy frames. This preliminary action approach allows the system to maintain accurate tracking without continuous high-frame-rate X-ray imaging
2Measurement precision
If high-frame-rate X-ray imaging is used to determine catheter position, then position estimation accuracy is improved, but computational resource consumption increases
Solution Approach 1:
The patent merges fluoroscopy position estimates with IVUS displacement estimates through a combination algorithm. This approach leverages the strengths of both systems: fluoroscopy provides absolute position references while IVUS provides continuous displacement data, achieving accurate position tracking with reduced computational load compared to processing continuous high-frame-rate X-ray images
Solution Approach 2:
The system uses IVUS displacement measurements as an intermediary to bridge between fluoroscopy position estimates. Instead of directly processing continuous X-ray frames, the IVUS data serves as a mediator that provides motion information to update position estimates, reducing computational requirements
3Speed
If continuous X-ray frame acquisition is used to track catheter position, then real-time position tracking is improved, but ionizing radiation exposure increases
Solution Approach 1:
The system uses periodic fluoroscopy acquisitions at lower frame rates combined with continuous IVUS displacement measurements. This periodic action approach maintains real-time tracking capability by updating position estimates using IVUS data between fluoroscopy frames, reducing radiation exposure while preserving tracking speed
Solution Approach 2:
The system maintains continuous position tracking by combining periodic fluoroscopy updates with continuous IVUS displacement measurements. The useful action of tracking continues uninterrupted through the integration of both data sources, ensuring real-time capability without continuous X-ray exposure
Data Source
AI summary
A system is provided for determining the position of an interventional device inside a lumen. The interventional device comprises a distal portion inside the lumen and a proximal portion outside the lumen and the system comprises a processor. The processor is configured to receive a first estimated position of the distal portion of the interventional device inside the lumen from a first system and receive an estimated displacement of the distal portion of the interventional device inside a lumen from a second system, wherein the estimated displacement is representative of the movement of the distal portion of the interventional device inside the lumen. The processor is further configured to determine a second estimated position of the distal portion of the interventional device inside the lumen based on the first estimated position and the estimated displacement.