Medical Imaging System for Stent Positioning via Image Registration
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Solution Overview
Problem
Current methods for positioning medical objects, such as stents, during coronary artery procedures lack effective imaging-based support, as they require manual comparison of static planning images with real-time fluoroscopic images, and dynamic coronary road mapping techniques are prone to errors due to irregular heartbeats and respiratory motion.
Innovation Solution
A method that provides a result data set by acquiring and merging planning images with monitoring images, using physiological signals to align and compensate for motion, allowing for precise determination of medical object positioning through identification of marker structures and transformation rules to ensure accurate spatial and temporal alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If dynamic coronary road mapping techniques are used to align planning images with real-time fluoroscopic images, then imaging-based support for positioning medical objects is improved, but measurement precision deteriorates due to irregular heartbeats and respiratory motion causing deviations from EKG-based matching
Solution Approach 1:
The system continuously monitors the actual position of the medical object in real-time fluoroscopic images and compares it with the planned position from planning images. Based on this feedback, the system dynamically adjusts the alignment and provides real-time guidance to the operator, compensating for physiological motions and improving positioning accuracy throughout the procedure.
Solution Approach 2:
The system transitions from static EKG-based phase matching to a dynamic alignment approach that continuously adapts to actual physiological conditions. By using real-time image data and detecting actual cardiac and respiratory motions, the system dynamically adjusts the registration between planning and fluoroscopic images, making the positioning system responsive to changing physiological states.
2Device complexity
If manual comparison of static planning images with real-time fluoroscopic images is performed, then device complexity is reduced, but productivity deteriorates due to time-consuming manual operations and lack of automated positioning support
Solution Approach 1:
The system automatically performs image registration, medical object detection, and positioning calculations without requiring manual intervention. The computer processing unit autonomously aligns planning images with fluoroscopic images, detects marker structures, calculates positioning information, and generates guidance, allowing medical personnel to focus on decision-making rather than manual image comparison.
Solution Approach 2:
The manual mechanical process of visually comparing images is replaced with an automated computational system. The computer processing unit performs digital image processing, automatic registration, and positioning calculations, substituting human manual operations with algorithmic processing that is faster, more accurate, and scalable.
3Ease of operation
If planning information and stenosis details are displayed in fluoroscopic images using radiopaque markers, then ease of operation is improved for monitoring stent positioning, but loss of information occurs because coronary arteries and planning information become unobservable
Solution Approach 1:
The system merges planning information from pre-procedural images with real-time fluoroscopic images through automatic image registration. By aligning the planning images with the current fluoroscopic view based on anatomical landmarks and physiological phase matching, the system combines the visibility of coronary arteries in fluoroscopic images with the planning information from angiography scenes, allowing both to be observed simultaneously without mutual obstruction.
Data Source
AI summary
A method for providing a result data set includes providing a first planning image that maps a first physiological phase of a motion of an object under examination, wherein the first planning image contains planning information about a planned positioning of a medical object in the object under examination. The method further includes acquiring a first monitoring image that maps the first physiological phase of the motion of the object under examination and the medical object arranged in the object under examination. The method further includes providing the result data set: (a) based on the first planning image and positioning information, which is determined by identification of a mapping of the medical object in the first monitoring image, or (b) based on the planning information and the first monitoring image.