Multi-Energy Radiation Image Contrast via Energy Band Segmentation
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Solution Overview
Problem
Medical image systems using single-energy radiation struggle to distinguish between different soft tissues due to similar absorption coefficients, resulting in low contrast in radiation images.
Innovation Solution
Generating radiation images using multi-energy radiation data, where data from various energy bands is processed to create new radiation data and images, enhancing contrast by determining attenuation characteristics and intensities across different energy bands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If single-energy radiation is used for imaging, then the device complexity is reduced and acquisition is simplified, but the ability to distinguish different soft tissues deteriorates due to similar absorption coefficients
Solution Approach 1:
The radiation spectrum is segmented into multiple discrete energy bands (first energy band and second energy band), with detectors specifically designed to detect radiation within each band separately. This segmentation allows the system to capture differential absorption characteristics of tissues at different energies, enabling soft tissue differentiation without requiring overly complex multi-source equipment.
Solution Approach 2:
The system changes the energy parameter of the radiation by using filters to create distinct energy bands. By varying the energy parameter and measuring absorption at multiple energy levels, the system can distinguish between soft tissues that have similar absorption coefficients at a single energy level, thereby improving measurement precision without proportionally increasing device complexity.
2Measurement precision
If multi-energy radiation data is processed to generate images, then image contrast and tissue differentiation are improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The system extracts specific energy band components from the total radiation spectrum using dedicated filters and detectors. By isolating and processing only the relevant energy band data (first energy band and second energy band), the system achieves improved image contrast while avoiding the complexity of processing the entire continuous spectrum, thus managing data processing requirements efficiently.
Solution Approach 2:
The system adds the energy dimension to the traditional spatial imaging by capturing radiation intensity at multiple discrete energy levels. This dimensional expansion allows differentiation of tissues based on their energy-dependent absorption characteristics, improving image contrast and diagnostic information without requiring excessively complex processing algorithms.
3Loss of information
If radiation data from multiple energy bands is acquired, then the information content for tissue characterization increases, but the acquisition time and system complexity increase
Solution Approach 1:
The system merges the acquisition of multiple energy bands into a single integrated imaging process. By using multiple detectors that simultaneously capture different energy bands and combining the data processing steps (generating first image data from first energy band and second image data from second energy band), the system maximizes tissue characterization information while minimizing acquisition time and operational 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 contrast and quality by effectively distinguishing between soft tissues, allowing for better diagnostic capabilities.
Implementation Method 1
A degree at which X-rays are absorbed into a material of the subject that is radiated depends on a kind or a density of the material or an energy band of the X-rays
Implementation Method 2
Medical image systems that utilize radiation in order to create images radiate X-rays to a subject, such as, for example, the human body, and acquire a radiation image from X-rays transmitting through the subject
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
A method of generating an image by using multi-energy radiation data and an apparatus therefore is provided. The method includes receiving multi-energy radiation data including a plurality of pieces of radiation data indicating an inner portion of a subject with respect to a plurality of radioactive rays in different energy bands, respectively, generating, based on the received multi-energy radiation data, radiation data of a radioactive ray in an energy band that is different from the different energy bands, and generating a radiation image of the subject based on the generated radiation data. The method can be applied to the medical imaging system of Fig. 1.