Mobile Radiography Tomosynthesis Geometry Correction
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Solution Overview
Problem
Current portable radiography systems face challenges in accurately determining the acquisition scan geometry for tomosynthesis, leading to uncertainties that result in artifacts and blurring in reconstructed images, which hampers the development of reliable clinical imaging systems.
Innovation Solution
A mobile radiography apparatus with a moveable transport frame, adjustable support structure, and control circuitry that directs x-ray radiation from multiple source positions, allowing for iterative determination of imaging geometry and tomosynthesis reconstruction while monitoring performance metrics to achieve optimal image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If iterative geometry determination and reconstruction is performed to improve image quality, then image quality and reliability are improved, but computational time and processing complexity increase
Solution Approach 1:
The system performs preliminary actions by acquiring projection images from multiple source positions and storing them before the actual iterative reconstruction process. The geometry determination is prepared in advance by collecting all necessary projection data, which then enables the iterative reconstruction to proceed more efficiently by working with pre-organized data rather than acquiring it during the computational process.
Solution Approach 2:
The iterative reconstruction process maintains continuity by repeatedly refining the three-dimensional image reconstruction using the same set of projection images and geometry information. Each iteration builds upon the previous results, continuously improving image quality through progressive refinement rather than discrete separate operations, which optimizes computational efficiency.
2Reliability
If multiple source positions are used for tomosynthesis, then image quality and depth resolution are improved, but device complexity and operational difficulty increase
Solution Approach 1:
The system segments the imaging task by acquiring projection images from multiple discrete source positions rather than using a single complex multi-functional source. Each source position contributes a specific projection angle, and the segmentation of the imaging process into multiple sequential acquisitions simplifies the overall system design while achieving three-dimensional reconstruction capability.
Solution Approach 2:
The system transitions from two-dimensional single-projection imaging to three-dimensional tomosynthesis by adding the angular dimension through multiple source positions. This dimensional expansion allows depth resolution to be improved by viewing the object from different angles, creating a volumetric reconstruction that resolves structures in the depth dimension that would be superimposed in a single projection.
3Ease of operation
If scan geometry is not accurately determined, then system operation is simpler, but image quality deteriorates with artifacts and blurring
Solution Approach 1:
The system implements feedback by using the acquired projection images themselves to determine the actual scan geometry through image analysis. The geometry determination process receives feedback from the projection data quality and adjusts the geometric parameters accordingly, creating a self-correcting system that improves image quality without requiring external complex calibration equipment or procedures.
Solution Approach 2:
The system performs self-service by using its own projection images to determine the scan geometry rather than requiring separate calibration procedures or external reference systems. The projection data acquired during normal imaging operations is reused for geometry determination, eliminating the need for additional calibration steps and maintaining ease of operation while ensuring accurate geometric information for reconstruction.
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
Enables the generation of accurate three-dimensional tomosynthesis images with improved image quality by iteratively adjusting the imaging geometry, reducing artifacts and blurring, and providing reliable clinical data even in challenging environments like ICU settings.
Implementation Method 1
an x-ray source assembly mounted to the adjustable support structure configured to direct x-ray radiation towards a subject from a plurality of different source positions
Data Source
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AI summary
A mobile radiography apparatus has a moveable (e.g., wheeled) transport frame and an adjustable column mounted at the frame. A boom apparatus supported by the adjustable column can support an x-ray source assembly. Certain exemplary methods and/or apparatus embodiments can provide mobile radiography carts a capability to direct x-ray radiation towards a subject from one or a plurality of different source positions, and reconstruct two-dimensional or three-dimensional tomosynthesis images where an imaging geometry of x-ray source positions to a radiographic detection array is not known for a plurality of x-ray tomosynthesis projection images. In one embodiment, an imaging geometry and tomosynthesis reconstruction(s) can be simultaneously determined by iteratively determining a current imaging geometry while iteratively monitoring a metric (e.g., stopping criterion) that approaches a prescribed or desired value associated with the tomosynthesis reconstruction.