Streak Artifact Prediction in Rotational Tomographic Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Rotational tomographic imaging is hindered by streak artifacts caused by highly radiopaque objects, such as metal coils, which obscure clinically relevant information in reconstructed cone-beam CT images.
Innovation Solution
An image processing system that predicts the projection area of reconstruction artifacts and adjusts the imaging geometry to minimize the intersection between the artifact projection and the region of interest, thereby reducing the impact of artifacts on image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a rotational tomographic scan is performed to obtain a complete reconstruction of the imaging region, then the overall image coverage is improved, but streak artifacts from radiopaque objects obscure clinically relevant information in the region of interest
Solution Approach 1:
The imaging space is segmented into a region of interest (ROI) and other regions. The system performs artifact prediction specifically for the ROI by analyzing projection images and determining artifact-prone areas, then uses this segmented information to adjust imaging geometry or apply targeted corrections only where needed, rather than treating the entire imaging volume uniformly.
Solution Approach 2:
The system performs preliminary artifact prediction and imaging geometry adjustment before the actual rotational scan is executed. By analyzing projection images and predicting artifact locations in advance, the system can pre-adjust the imaging geometry or select optimal scan trajectories that minimize artifact overlap with the ROI, preventing information loss before it occurs.
2Manufacturing precision
If the imaging geometry is adjusted to avoid artifacts in the region of interest, then image quality in the ROI is improved, but the overall productivity of the imaging process decreases due to additional prediction and adjustment steps
Solution Approach 1:
The system applies artifact prediction and geometry adjustment only partially - specifically targeted at the region of interest rather than the entire imaging volume. By focusing computational resources and geometric adjustments only where clinically relevant information is located, the system achieves improved ROI image quality without the full computational overhead of processing the entire volume, thus maintaining better productivity.
3Measurement precision
If multiple projection images are used to increase the accuracy of artifact prediction, then the precision of artifact location is improved, but the X-ray dosage to the patient increases
Solution Approach 1:
The system performs artifact prediction using projection images acquired during the scanning process itself, rather than requiring additional preliminary scans. By utilizing the projection data that will be collected anyway for the reconstruction, the system achieves accurate artifact prediction without exposing the patient to extra X-ray dosage beyond what is necessary for the diagnostic scan.
Data Source
Figure 1
Figure 2(a)~2(c)
Figure 3
AI summary
An image processing system, comprising an input port (IN) for receiving a projection image of an object. The image is acquired by a rotational image apparatus (IM) at a position on an imaging trajectory in an adjustable rotation plane (π) around an imaging region. An image artifact extent predictor (AP) of the system is configured to predict for said image a projection area of a reconstruction artifact. A visualizer (VIZ) is configured to visualize, on a display unit (MT), said image with a visual indication of the projection area.