3D X-Ray Collimation Layout for Low-Dose Artifact Reduction
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Solution Overview
Problem
Existing 3D imaging techniques face challenges in reducing X-ray dose and minimizing artifacts due to incomplete collimation and manual adjustment, especially when the volume of interest is not positioned at the isocenter, leading to potential collisions and truncation artifacts.
Innovation Solution
A computer-implemented method for providing a 3D image dataset that involves identifying an acquisition plan, determining collimator configurations for a collimation unit, and acquiring X-ray projection images to reconstruct a 3D image dataset, optimizing collimation to filter X-rays based on the volume of interest and detector rows, using semi-transparent and non-transparent filter elements to minimize dose and artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If longitudinal acquisition trajectories are used to extend the image region, then the imaging coverage is improved, but the X-ray dose increases and unnecessary tissue is irradiated
Solution Approach 1:
The collimation is divided into multiple independent segments (first collimation segment and second collimation segment) that can be independently adjusted. This allows selective collimation of X-ray beams for different detector rows, enabling longitudinal trajectories to image extended regions while blocking X-rays from reaching detector rows that would otherwise capture unnecessary scattered radiation, thus reducing overall X-ray dose.
Solution Approach 2:
Different collimation settings are applied to different spatial regions. The first collimation segment is optimized for detector rows capturing primary X-rays from the volume of interest, while the second collimation segment is optimized for detector rows that would capture scattered radiation. This local differentiation allows the system to maintain imaging coverage while minimizing unnecessary irradiation.
2Adaptability or versatility
If manual collimation adjustment is performed, then the collimation can be customized, but additional effort and time are required and errors may occur
Solution Approach 1:
The system automatically determines the optimal collimation settings for each detector row based on the acquisition trajectory and geometry. The processor calculates which detector rows will capture primary X-rays versus scattered radiation and automatically configures the corresponding collimation segments, eliminating the need for manual operator intervention while maintaining optimized collimation for each imaging scenario.
Solution Approach 2:
The collimation settings are pre-calculated based on the planned acquisition trajectory and volume of interest. Before the actual X-ray acquisition begins, the system determines the optimal configuration of collimation segments for each detector row, allowing the operator to simply initiate the automated process without performing time-consuming manual adjustments.
3Object-affected harmful factors
If collimation is applied to reduce X-ray dose, then radiation safety is improved, but truncation artifacts and incorrect image values occur
Solution Approach 1:
The collimation is segmented and selectively applied only to detector rows that would capture scattered radiation without contributing useful primary X-ray information. Detector rows that capture primary X-rays from the volume of interest are left uncollimated, ensuring complete illumination and accurate image values, while only the problematic scattered radiation paths are blocked.
Solution Approach 2:
Instead of applying uniform collimation across all detector rows, the system applies partial collimation only to the extent necessary - specifically to detector rows that would capture scattered radiation. This selective partial action avoids the excessive collimation that would cause truncation artifacts while still achieving dose reduction.
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 achieves low X-ray-dose and low-artifact 3D imaging by optimizing collimator configurations, reducing manual intervention, and ensuring consistent collimation, thereby improving safety and image quality.
Implementation Method 1
a collimator configuration of the collimation unit is determined for each of the acquisition positionings of the acquisition arrangement. Each collimator configuration specifies a spatial arrangement of at least one filter element of the collimation unit such that X-ray radiation that may be emitted by the X-ray source and illuminate a detector row without earlier passing through the volume of interest is filtered
Data Source
AI summary
A computer-implemented method for providing a 3D image dataset includes identifying an acquisition plan and an acquisition trajectory. The method further includes determining a collimator configuration of a collimation unit for each acquisition positioning, wherein each collimator configuration specifies a spatial arrangement of at least one filter element of the collimation unit such that: X-ray radiation that is emitted by the X-ray source and illuminates a detector row without earlier passing through the volume of interest is filtered, and X-ray radiation that is emitted by the X-ray source and illuminates at least part of a detector row after passing through the volume of interest is transmitted. The method further includes acquiring the X-ray projection images of the object under examination, wherein the collimation unit is adjusted based on the collimator configurations; providing the 3D image dataset by reconstruction from the X-ray projection images.