3D X-ray Reconstruction Sliding Window Update
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Solution Overview
Problem
Current three-dimensional X-ray imaging methods suffer from low refresh rates and delays in dynamic monitoring processes, as they require reconstructing multiple two-dimensional projection images from different angles, leading to incomplete registration of rapid changes in objects during medical interventions.
Innovation Solution
A method that continuously records two-dimensional X-ray projection images from various angles and reconstructs a three-dimensional image dataset by removing the oldest projection image and inserting the current one, allowing for real-time updates matching the detector readout frequency, using a sliding window approach to efficiently update the dataset without complete reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If complete three-dimensional reconstruction is performed from multiple two-dimensional projection images, then imaging completeness is improved, but imaging speed deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing the contribution of each projection image to the three-dimensional dataset. When a new projection image is acquired, only the difference needs to be calculated and applied to the existing dataset, rather than performing complete reconstruction from scratch. This preliminary preparation enables rapid updates while maintaining complete imaging information.
Solution Approach 2:
The complete three-dimensional reconstruction process is segmented into independent contribution calculations for each projection image. Each projection image's contribution to the dataset is calculated separately and can be independently updated. This segmentation allows the system to process individual image contributions rather than handling the entire reconstruction as one complex operation, significantly improving processing speed.
2Manufacturing precision
If multiple two-dimensional projection images are recorded and reconstructed, then three-dimensional image quality is improved, but time delay increases
Solution Approach 1:
The system maintains continuous updating of the three-dimensional image dataset by continuously acquiring new projection images and immediately updating the dataset with each new image's contribution. This continuous process eliminates idle time between acquisitions and ensures the dataset is always current with minimal delay, while still incorporating multiple projection images for high quality reconstruction.
3Measurement precision
If the three-dimensional dataset is completely reconstructed from all projection images, then data accuracy is improved, but computational complexity increases
Solution Approach 1:
The system applies partial action by calculating only the necessary contribution of each new projection image to the three-dimensional dataset rather than performing complete reconstruction. The update process computes only the differential change needed to incorporate new image data, maintaining accurate representation of the object while significantly reducing computational complexity compared to full reconstruction algorithms.
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
This method enables real-time three-dimensional imaging with a refresh rate equivalent to the projection image recording frequency, allowing for immediate registration of rapid changes and improved monitoring capabilities during medical interventions without significant hardware upgrades.
Implementation Method 1
The X-ray device (1) comprises a control device (12) and an X-ray emitter (3)
Implementation Method 2
the three-dimensional image dataset is reconstructed from a first number of these projection images, especially by a back projection method
Data Source
AI summary
A method for reconstruction of an actual three-dimensional image dataset of an object during a monitoring process is proposed. Two-dimensional X-ray projection images which correspond to a recording geometry are continuously recorded from different projection angles. The three-dimensional image dataset are reconstructed from a first number of these projection images, especially by a back projection method. The proportion of the oldest projection image contained in the current three-dimensional image dataset is removed from the three-dimensional image dataset and the proportion of the actual projection image is inserted in the three-dimensional image dataset after each recording of the actual projection image.