Composition-Guided X-Ray Post-Processing for 3D-Aware Enhancement
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Solution Overview
Problem
X-ray images suffer from imaging artefacts and noise, making it difficult to discern fine structures and tissue differences, and existing image enhancements do not effectively utilize three-dimensional structural information.
Innovation Solution
A computer-implemented method that enhances x-ray images by applying image processing operations controlled by compositional information, such as material thickness, composition, and scatter data, using blending coefficients and filters adjusted based on object characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image enhancement operations are applied to x-ray images, then image quality is improved, but the enhancement is limited because it does not utilize three-dimensional structural information
Solution Approach 1:
The patent transforms the two-dimensional x-ray projection image into a three-dimensional volume representation by introducing depth information through compositional data. This allows the system to utilize 3D structural information that was previously unavailable in conventional 2D x-ray images, enabling enhanced image quality while preserving spatial relationships.
Solution Approach 2:
The patent introduces compositional information as an intermediary data layer that bridges the gap between 2D x-ray projections and 3D structural representation. This compositional data serves as a mediator that enables the system to infer and utilize three-dimensional structural information without requiring direct 3D imaging, thus improving enhancement capabilities while working within the constraints of 2D input data.
2Reliability
If image enhancement operations are applied to reduce noise and artefacts, then diagnostic accuracy is improved, but the complexity of the processing system increases
Solution Approach 1:
The patent performs preliminary decomposition of the x-ray image into material-specific components (bone, soft tissue, etc.) before applying enhancement operations. By pre-separating the image into distinct material layers based on compositional information, the system simplifies subsequent enhancement steps and reduces the complexity of noise reduction while improving diagnostic accuracy for specific tissue types.
Solution Approach 2:
The patent applies different enhancement parameters and processing strategies to different material regions within the image. By identifying specific material types through compositional analysis and applying tailored enhancement operations to each region, the system improves diagnostic accuracy for particular tissues while avoiding unnecessary complex processing in other areas, thus managing overall system complexity.
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
Improves image quality by emphasizing relevant structures like bones while reducing noise, allowing for more accurate diagnosis and enhancing visibility of specific materials.
Implementation Method 1
the input image is based on a source x-ray image of an object
Implementation Method 2
reduce imaging artefacts and noise (e.g. due to scatter) in the images
Data Source
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AI summary
A method of enhancing an x-ray image is disclosed. The method involves obtaining an input image based on a source x-ray image of an object. Compositional information representing physical characteristics of the object is also obtained. An image enhancement process is applied to the input image to generate a processed image. Application of the image enhancement process is controlled by one or more parameters determined in dependence on the compositional information. An output image is then provided based on the processed image.