2D Projection Image Generation for Vascular System Visualization
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Solution Overview
Problem
Current two-dimensional digital subtraction angiography methods struggle to clearly visualize smaller vessels in the parenchyma due to obscuration by larger vessels, and three-dimensional techniques, while capable of vessel segmentation, have poorer temporal resolution and are not suitable for all applications.
Innovation Solution
A method and device that acquire a 3D dataset of the body region, segment and eliminate large vessels, normalize and interpolate 2D projection images using 3D data, and denormalize to enhance visualization of smaller vessels, generating a virtual parenchymogram.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional 2D digital subtraction angiography is used to acquire projection images, then the acquisition speed and temporal resolution are high, but the smaller vessels in the parenchyma are obscured by larger vessels and cannot be clearly visualized
Solution Approach 1:
The patent uses 3D dataset information to guide 2D image processing. By acquiring a 3D dataset and eliminating large vessels in 3D space before projecting back to 2D, the method leverages the additional spatial dimension to resolve the obscuration problem while maintaining 2D visualization advantages
Solution Approach 2:
The patent introduces a 3D dataset as an intermediary between the 2D projection images and the final visualization. This 3D dataset serves as a mediator that contains information about large vessels, which is then used to selectively eliminate them from the 2D images without affecting smaller vessels
2Measurement precision
If three-dimensional angiography techniques are used to segment and eliminate large vessels, then the visualization of smaller vessels is improved, but the temporal resolution deteriorates and the method is not suitable for all treatment applications
Solution Approach 1:
The patent segments the vascular system into large vessels and smaller vessels based on size criteria. By separating these components and processing them differently (eliminating large vessels, preserving small vessels), the method achieves selective visualization without requiring full 3D reconstruction of all vessels
Solution Approach 2:
The patent acquires a 3D dataset to obtain spatial information about vessel sizes and positions, then uses this 3D information to guide 2D image processing. This selective use of 3D data provides the benefits of 3D segmentation while maintaining the speed advantages of 2D imaging
3Measurement precision
If three-dimensional techniques are used to segment and remove large vessels, then the visualization quality is improved, but the device complexity and processing requirements increase
Solution Approach 1:
The patent applies partial 3D processing - acquiring a 3D dataset and eliminating only the large vessels that cause obscuration, rather than performing complete 3D reconstruction and processing of all vessels. This selective approach reduces complexity while maintaining effectiveness
Data Source
AI summary
The embodiments relate to generating a 2D projection image of a vascular system of a body region of interest, including: (1) acquiring a 3D dataset of the body region of interest, (2) acquiring at least one 2D projection image of the body region of interest (S3), (3) generating a modified 3D dataset by eliminating vessels whose size exceeds a predetermined limit value, (4) normalizing the 2D projection image using projection data of the modified 3D dataset, (5) eliminating vessel projections in the normalized 2D projection image whose size exceeds a predetermined limit value, (6) interpolating the areas of the 2D projection image in which the vessel projections have been eliminated, and (7) denormalizing the normalized and interpolated 2D projection image using projection data of the modified 3D dataset.