3D Image Dataset Determination via Multi-Directional X-Ray Projections
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Solution Overview
Problem
In four-dimensional digital subtraction angiography (DSA), overlapping vessels in X-ray projections lead to imprecise interpolation results, affecting the accuracy of determining hydrodynamic parameters in examination volumes.
Innovation Solution
A method and system for determining three-dimensional and four-dimensional image datasets by receiving and processing multiple X-ray datasets with different projection directions, using a computing unit to improve accuracy by reducing vessel overlap ambiguities and enhancing radiation dose efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spatial and/or temporal interpolation is performed for overlapping vessels, then the image dataset can be determined, but the accuracy of the interpolation result deteriorates and may deviate from actual conditions
Solution Approach 1:
The patent transitions from two-dimensional X-ray projection data to three-dimensional image dataset by introducing a temporal dimension through four-dimensional DSA. This allows the system to resolve overlapping vessels by analyzing their positions across multiple time points, thereby improving measurement accuracy without relying on imprecise spatial or temporal interpolation methods.
2Measurement precision
If multiple X-ray projections from different directions are acquired, then vessel overlap ambiguities are reduced, but the radiation dose to the examination volume increases
Solution Approach 1:
The patent uses a mask image acquired before contrast agent injection to pre-identify vessel locations and structures. This preliminary action allows the system to focus subsequent X-ray acquisitions only on regions containing vessels, reducing the number of projections needed and thereby lowering the total radiation dose while maintaining accurate vessel position determination.
Solution Approach 2:
The system employs iterative reconstruction where the three-dimensional image dataset is continuously refined by comparing projected images with actual X-ray measurements. This feedback mechanism allows the algorithm to converge on accurate vessel positions with fewer projections, reducing radiation exposure while maintaining measurement precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method enhances the accuracy and robustness of image datasets by resolving vessel overlap issues and minimizing radiation dose, providing precise hydrodynamic parameter determination in examination volumes.
Implementation Method 1
a first two-dimensional first X-ray projection of the examination volume with respect to a first projection direction
Implementation Method 2
the two-dimensional X-ray projections are backprojected together with time information into a volume element
Data Source
AI summary
A method is for determining a three-dimensional image dataset. In an embodiment, the method includes a first X-ray dataset of the examination volume being received, the first X-ray dataset including a two-dimensional first X-ray projection of the examination volume with respect to a first projection direction; and a second X-ray dataset of the examination volume being received, the second X-ray dataset including a second two-dimensional X-ray projection of the examination volume with respect to a second projection direction. Furthermore, a first three-dimensional image dataset of the examination volume is determined based on the two-dimensional first X-ray projection and the two-dimensional second X-ray projection. An effect of overlaps of vessels with respect to the first projection direction or the second projection direction can be reduced as a result of determining the first three-dimensional image dataset based on the first X-ray dataset and the second X-ray dataset.