X-Ray Dose Adjustment via Grayscale Image Segmentation
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Solution Overview
Problem
Medical imaging systems face challenges in accurately adjusting X-ray doses due to preset regions of interest that do not accurately reflect the examination subject's size and position, leading to suboptimal image quality.
Innovation Solution
An X-ray dose adjustment method and apparatus that utilize image segmentation based on grayscale values to determine target regions within the image, allowing for precise dose adjustments that match the region to be examined, thereby improving imaging quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If preset regions of interest are used for dose adjustment, then the dosing process is simplified, but the accuracy of dose adjustment deteriorates because the preset regions do not accurately reflect the examination subject's size and position
Solution Approach 1:
The patent applies image segmentation to divide the imaging region into multiple sub-regions based on grayscale values. By segmenting the image and identifying the specific examination subject region, the system accurately determines the actual region of interest rather than using fixed preset regions. This segmentation approach resolves the contradiction by enabling precise dose adjustment while maintaining operational simplicity through automated processing.
2Device complexity
If fixed preset regions are used, then device complexity is reduced, but image quality deteriorates due to inaccurate dose adjustment
Solution Approach 1:
The system performs self-service by automatically analyzing the captured image, segmenting it based on grayscale values, and autonomously determining the accurate examination subject region. This eliminates the need for complex manual region configuration while achieving precise dose adjustment. The automated image processing and region identification improve image quality without significantly increasing device complexity.
3Productivity
If preset regions are used for dose adjustment, then the adjustment process is faster, but dose accuracy deteriorates because the preset regions do not match the actual examination subject
Solution Approach 1:
The patent performs preliminary image capture and grayscale-based segmentation before dose adjustment. By pre-processing the image to identify the actual examination subject region, the system establishes accurate region boundaries in advance. This preliminary region determination enables both fast and accurate dose adjustment, as the system already has the precise region information needed for dosing calculations.
Solution Approach 2:
The system uses feedback from the captured image's grayscale distribution to dynamically determine the examination subject region. The image data provides feedback about the actual subject position and size, which is then used to adjust the dose parameters accordingly. This feedback mechanism ensures dose accuracy while maintaining efficiency through automated real-time region identification.
Data Source
AI summary
A X-ray dose adjustment method for a medical imaging system may include: acquiring a first image which is captured by the medical imaging system and comprises a region to be examined; subjecting the first image to image segmentation on the basis of a grayscale value of the first image to acquire a first sub-region and a second sub-region, wherein a grayscale value of the first sub-region is greater than a grayscale value of the second sub-region; determining at least one of the first sub-region and the second sub-region to be a target region on the basis of a comparison of the grayscale value of the first sub-region with a first grayscale threshold; and performing dose adjustment on the basis of the target region.