Motion-Adjusted Vascular Roadmap for Interventional Guidance
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Solution Overview
Problem
Current fluoroscopy guidance systems face challenges in accurately guiding interventional medical procedures due to patient movement, particularly respiratory and cardiac motion, which leads to inaccuracies and increased procedure time, radiation exposure, and the need for additional contrast agents.
Innovation Solution
The system generates motion-adjusted or motion-compensated images by creating a static roadmap and overlaying dynamic images, using a motion model and tracking data to align interventional medical devices, allowing for user selection between motion compensation of the device or adjustment of the roadmap to account for patient motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If static DSA images are used for vascular roadmap guidance, then image acquisition time is reduced, but image accuracy deteriorates due to patient motion during the procedure
Solution Approach 1:
The patent transforms the static roadmap into a dynamic one by continuously updating the vascular roadmap with real-time fluoroscopic images. The system automatically detects vascular structures in live fluoroscopy frames and overlays them onto the roadmap, allowing the roadmap to adapt and reflect the current vascular position despite patient motion. This dynamic update mechanism resolves the contradiction by maintaining both time efficiency (using real-time images) and accuracy (reflecting current vascular position).
Solution Approach 2:
The system implements feedback by continuously comparing real-time fluoroscopic images with the stored vascular roadmap, detecting deviations caused by patient motion, and automatically updating the roadmap to reflect current vascular positions. This closed-loop feedback mechanism ensures the roadmap remains accurate throughout the procedure without requiring repeated static acquisitions, thus maintaining both speed and precision.
2Measurement precision
If multiple static DSA images are acquired to account for patient motion, then image accuracy is improved, but procedure time and radiation exposure increase
Solution Approach 1:
Instead of acquiring discrete static images at intervals, the system continuously updates the vascular roadmap using real-time fluoroscopic imaging. This continuous action ensures the roadmap always reflects the current vascular position without interruption to the procedure flow. The automatic detection and overlay process runs continuously, eliminating the need to pause for multiple acquisitions while maintaining accurate guidance throughout the entire procedure.
3Measurement precision
If breath hold is instructed to reduce motion artifacts, then image quality is improved, but patient comfort and procedure complexity worsen
Solution Approach 1:
The system performs self-correction by automatically detecting and compensating for motion-induced vascular position changes through continuous real-time image analysis. Rather than requiring the patient to cooperate with breath-holding instructions, the system independently detects motion artifacts and adjusts the roadmap accordingly. This self-service approach eliminates the need for patient participation in motion control, improving comfort while maintaining image quality.
4Productivity
If real-time fluoroscopic images are used without motion compensation, then procedure speed is improved, but guidance accuracy deteriorates due to patient motion
Solution Approach 1:
The system performs preliminary action by pre-acquiring a baseline vascular roadmap and then continuously updating it with real-time fluoroscopic data. The automatic detection and overlay process begins immediately without requiring pause or patient maneuvering. This preliminary setup followed by continuous automatic updates maintains procedure speed while ensuring accuracy, as the system proactively compensates for motion rather than reacting to it.
Data Source
AI summary
A system and method is provided for creating motion-adjusted or motion-compensated images of a patient to guide an interventional medical procedure. The method includes displaying a static roadmap and a plurality of dynamic images to show the interventional medical device aligned on the static roadmap using a motion transformation. Alignment of the interventional medical device on the static roadmap is based on a user selection of one of motion compensation of the interventional medical device relative to the static roadmap to produce a plurality of images that do not show patient motion or motion adjustment of the static roadmap relative to the interventional medical device to produce a plurality of images that show patient motion.


