Dual-Energy X-Ray Image Analysis for Lesion Detection
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Solution Overview
Problem
Conventional single-energy X-ray images have limited information, leading to poor accuracy in lesion judgment in medical imaging.
Innovation Solution
An image analysis method and system that processes dual-energy image data to generate standard, soft tissue, and hard tissue images, performing multi-stage image analysis to determine lesion probability values and output a judgment result, utilizing an X-ray sensor, computing device, and display device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single-energy X-ray image is used for lesion analysis, then the imaging process is simple and fast, but the lesion judgment accuracy is poor due to limited image information
Solution Approach 1:
The patent segments the dual-energy image data into multiple virtual images representing different tissue types (soft tissue, hard tissue, bone, etc.). Each virtual image is generated by processing specific energy ranges or material characteristics from the dual-energy data, allowing independent analysis of different tissue components and improving overall lesion detection accuracy
Solution Approach 2:
The patent transforms single-energy image data into dual-energy image data, adding an energy dimension to the imaging process. This dimensional change enables differentiation between tissues with similar attenuation coefficients in single-energy images but distinct energy absorption characteristics in dual-energy images, significantly improving lesion judgment accuracy
2Measurement precision
If multiple images are generated from dual-energy data for improved analysis, then lesion detection accuracy improves, but processing time and computational complexity increase
Solution Approach 1:
The patent performs preliminary image generation and segmentation before the actual lesion analysis. By pre-processing the dual-energy data to create multiple virtual images and tissue-specific masks in advance, the system prepares the data structure needed for efficient subsequent analysis, reducing real-time processing requirements
Solution Approach 2:
The patent introduces intermediate processing layers including virtual images and tissue masks as mediators between the raw dual-energy data and the final lesion analysis. These intermediaries simplify the analysis process by pre-organizing information in a way that facilitates faster and more accurate lesion detection
Data Source
AI summary
An image analysis method and an image analysis system are provided. The image analysis system includes an X-ray sensor, a computing device and a display device. The computing device is coupled to the X-ray sensor. The computing device includes a processing module and a memory module. The display device is coupled to the computing device. The processing module executes an image processing unit and an image analysis unit stored in the memory module to perform an image analysis according to dual-energy image data generated by the X-ray sensor, and outputs a lesion judgment result to the display device.