3D Bifurcation Analysis for Quantitative Coronary Assessment
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Solution Overview
Problem
Conventional Quantitative Coronary Analysis (QCA) methods struggle with accurately determining the healthy cross-sectional area function in complex bifurcation geometries, leading to errors in artery dimension due to foreshortening and out-of-plane calibration, and are limited to 2D analysis, which is not reproducible and subjective.
Innovation Solution
A 3D quantitative bifurcation analysis method using multiple angiographic images to create a 3D bifurcation model, determining cross-sectional areas, and reconstructing a healthy cross-sectional area function, eliminating errors caused by foreshortening and out-of-plane calibration, and providing accurate, reproducible results for plaque-related quantitative analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional QCA methods are used for single artery analysis, then quantitative analysis can be performed, but accurate determination of healthy cross-sectional area function in bifurcation geometries cannot be achieved
Solution Approach 1:
The invention transitions from conventional 2D QCA analysis to 3D quantitative analysis by reconstructing the bifurcation geometry in three dimensions. This dimensional upgrade allows accurate determination of healthy cross-sectional area functions in complex bifurcation geometries, resolving the limitation where 2D methods could not handle the complexity of bifurcation structures.
Solution Approach 2:
The method segments the bifurcation geometry into multiple cross-sectional areas along the artery path. By dividing the continuous 3D bifurcation structure into discrete cross-sectional slices, the system can individually analyze each section's healthy area function, enabling precise measurement even in complex geometries where conventional single-artery methods fail.
2Productivity
If 2D quantitative analysis is performed, then analysis can be completed, but results are sensitive to out-of-plane calibration errors and foreshortening
Solution Approach 1:
By moving from 2D to 3D analysis, the invention eliminates the fundamental problem of out-of-plane calibration errors and foreshortening that plague 2D methods. The 3D reconstruction captures the true spatial geometry of the bifurcation, making measurements independent of projection angles and eliminating the need for complex calibration corrections.
3Reliability
If user-defined reference diameter is input, then wrong reference definition can be eliminated, but reference is only valid on one side of bifurcation and lacks reproducibility
Solution Approach 1:
The system automatically determines healthy cross-sectional area functions through 3D reconstruction and segmentation, eliminating the need for manual user-defined references. The algorithm independently identifies and measures healthy artery segments, ensuring both accuracy and operator independence. This automated approach removes subjectivity and improves reproducibility across different operators.
Solution Approach 2:
The invention changes the reference parameter from a single user-defined diameter to multiple automatically determined cross-sectional area functions. By measuring area directly in 3D space rather than relying on 2D diameter projections, the system obtains inherently more accurate and reproducible reference values that are valid throughout the bifurcation geometry.
4Device complexity
If conventional QCA assumes minimal artery tapering, then analysis is simplified, but large diameter steps caused by bifurcation cannot be handled
Solution Approach 1:
The method segments the bifurcation into multiple cross-sectional areas, allowing each section to have its own diameter characteristics. This segmentation enables the system to handle large diameter steps at bifurcation points without requiring simplified assumptions about minimal tapering, while still maintaining manageable analysis complexity through systematic processing of each segment.
Data Source
AI summary
A computer-implemented method (and corresponding data processing facility and computer program) for creating a 3D bifurcation healthy model from multiple 2D angiographic images comprises the following:a. Creating a 3-D model based on said images;b. Defining a bifurcation region regarding said 3D model;c. Creating an area curve regarding said region;d. Creating a reference area curve regarding said region whilst reconstructing in 2D;e. Creating a healthy model regarding said area curves; andf. Computing quantitative analysis results regarding said healthy model based on the healthy cross-sectional areas of the bifurcation, obstruction boundaries and the diseased 3D model consisting of the bifurcation centerlines and cross-sections of the lumen on the centerline, the healthy centerline and cross-sections.