Automated X-ray Image Selection for Coronary Hemodynamic Simulation
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Solution Overview
Problem
Current methods for selecting images for fluid dynamics simulations in coronary arteries require significant user interaction and time, especially when determining suitability for physiological modeling, which can be invasive and uncomfortable for patients.
Innovation Solution
A computer-implemented method that automatically selects suitable diagnostic images by deriving target measures such as target structure density, motion, overlap, and deviation measures, and assigns a suitability score to each image, reducing the need for extensive user interaction and improving efficiency in image selection for fluid dynamics modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual image selection for fluid dynamics simulation is performed, then image suitability for physiological modeling can be evaluated, but significant user interaction and time are required
Solution Approach 1:
The system performs self-evaluation of image suitability through automated computation of target measures (density, motion, overlap, deviation) and suitability scores, eliminating the need for manual user assessment while maintaining evaluation precision
Solution Approach 2:
The manual mechanical process of user interaction and visual assessment is replaced by an automated computational system that calculates objective target measures and suitability scores, dramatically reducing time consumption
2Measurement precision
If invasive procedures are performed for FFR measurement, then hemodynamic parameters can be obtained, but patient discomfort increases
Solution Approach 1:
Instead of direct invasive measurement, the system creates a virtual copy of the coronary artery geometry from diagnostic images and performs computational fluid dynamics simulation to obtain hemodynamic parameters, eliminating patient discomfort while maintaining measurement precision
Solution Approach 2:
The invasive mechanical measurement process is replaced by non-invasive computational simulation, substituting physical intrusion with mathematical modeling to obtain the same hemodynamic information
3Measurement precision
If multiple diagnostic images are reviewed, then suitable images for simulation can be identified, but user interaction requirements increase
Solution Approach 1:
The system automatically determines image suitability by computing target measures and suitability scores without requiring user interaction for assessment, making the operation easier while maintaining determination precision
Solution Approach 2:
The system extracts and computes specific target measures (density, motion, overlap, deviation) from diagnostic images to objectively determine suitability, eliminating the need for manual review of multiple images
Data Source
AI summary
A method and apparatus for selecting one or more diagnostic images to generate a physiological model are provided in which a set of candidate images is determined for review by a user, in particular by a physician. The candidate images are hereby determined using one or more target measures, such as a density measure, a motion measure, a deviation measure or the like, that have been derived for each diagnostic image of an X-ray angiography series and by analyzing said target measure. Subsequently, a suitability score that is based on the requirements of the physiological model that shall be generated from the selected candidate images is assigned to each candidate image.