Multiple-Energy X-Ray Imaging Scatter Removal
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Solution Overview
Problem
Current digital x-ray imaging systems using 2D detectors struggle with separating and quantitatively analyzing multiple components in a subject, such as the human body, due to interference from random scatter signals, which degrades image quality and limits diagnostic capabilities, especially in applications like lung cancer screening.
Innovation Solution
The method employs multiple-energy x-ray imaging systems that use broad-spectrum x-ray beams and photon counting detectors to separate component images based on their unique atomic or molecular composition, densities, and spatial characteristics, employing techniques like dual-energy or triple-energy decomposition to isolate components like bone, soft tissues, and microcalcifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple-energy x-ray imaging systems are used to separate component images, then measurement precision and quantitative analysis capability are improved, but device complexity increases
Solution Approach 1:
The patent segments the x-ray imaging process into multiple energy levels (dual-energy or triple-energy decomposition), where each energy level captures specific tissue components. This segmentation allows quantitative separation of bone, soft tissue, and microcalcifications into distinct component images, improving measurement precision while managing system complexity through modular energy-level processing.
Solution Approach 2:
The patent adds the energy dimension to traditional 2D x-ray imaging by utilizing multiple x-ray energy levels. This transforms the imaging from a single projected image into a multi-dimensional dataset that can be decomposed into material-specific component images, enabling quantitative analysis without requiring complex 3D tomographic reconstruction.
2Device complexity
If traditional 2D digital x-ray detectors are used, then device complexity is reduced, but image quality and diagnostic capability deteriorate due to scatter interference
Solution Approach 1:
The patent changes the energy parameter of the x-ray beam by utilizing multiple discrete energy levels. This parameter change enables the system to differentiate between various tissue types based on their energy-dependent attenuation characteristics, thereby reducing the harmful effects of scatter interference and improving image quality and diagnostic capability.
3Device complexity
If single-energy x-ray imaging is used, then device complexity and processing requirements are minimized, but the ability to separate and analyze multiple tissue components is lost
Solution Approach 1:
The patent segments the overlapping tissue information in single projected images into distinct component images representing different tissue types (bone, soft tissue, microcalcifications). This segmentation is achieved through multiple-energy decomposition, which separates the mixed signal into material-specific components, preventing information loss while managing processing complexity through systematic decomposition algorithms.
Data Source
AI summary
Methods for quantitatively separating x-ray images of a subject having three or more component materials into component images using spectral imaging or multiple-energy imaging with 2D radiographic hardware implemented with scatter removal methods. The multiple-energy system may be extended by implementing DRC multiple energy decomposition and K-edge subtraction imaging methods.