X-Ray Diagnosis Device Tracking for ROI-Based Exposure Control
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Solution Overview
Problem
Existing X-ray condition setting methods, such as Auto Brightness Control (ABC), fail to optimally adjust conditions for the region of focus due to inclusion of non-focus regions and movement of the focus relative to the set region of interest, leading to suboptimal image quality and visibility.
Innovation Solution
An X-ray diagnosis apparatus and method that determines the region including a medical device in X-ray images, calculates the degree of device dwelling based on image analysis, assigns weights to pixels, and sets X-ray conditions based on these parameters to improve focus visibility and reduce exposure dose.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If X-ray conditions are adjusted according to the luminance of the entire X-ray image, then regions other than the region of focus become visible, but the X-ray conditions are not optimal for observing the region of focus
Solution Approach 1:
The patent applies local quality by dividing the X-ray image into multiple regions with different weights. The region of interest (ROI) containing the medical device is assigned a higher weight than other regions. This allows the ABC control to optimize X-ray conditions specifically for the ROI while still maintaining adequate visibility of surrounding areas, thereby resolving the contradiction between overall visibility and focal region quality.
2Manufacturing precision
If a region of interest (ROI) is set on an X-ray image to adjust X-ray conditions, then X-ray conditions can be optimized for the region of focus, but regions other than the region of focus may be included in the ROI or the region of focus may move with respect to the ROI, resulting in inability to set appropriate X-ray conditions
Solution Approach 1:
The patent implements dynamics by continuously tracking the medical device across sequential X-ray images and dynamically updating the ROI and weight assignments. The system calculates the position of the medical device in each new image, updates the ROI to encompass the current position, and recalculates weights accordingly. This dynamic adaptation ensures that the ROI consistently contains the medical device even as it moves, maintaining optimal X-ray condition settings throughout the procedure.
Solution Approach 2:
The patent employs feedback by using the luminance information from sequentially acquired X-ray images to continuously adjust X-ray conditions. The system measures the luminance in the ROI, compares it to target values, and adjusts exposure parameters in real-time to maintain optimal image quality. This closed-loop feedback mechanism ensures that the system adapts to changes in the medical device position and maintains appropriate X-ray conditions throughout the procedure.
3Illumination intensity
If weights are assigned to pixels based on the degree of dwelling, then the visibility of the region of interest is enhanced, but the complexity of the X-ray condition setting increases
Solution Approach 1:
The patent applies preliminary action by pre-defining weight assignment rules and algorithms before the actual X-ray imaging process. The system establishes the weighting scheme based on the degree of dwelling calculation in advance, and then automatically applies these pre-determined weights to pixel values when calculating the parameter for ABC control. This preliminary preparation simplifies the real-time operation, as the complex weight assignment logic has already been established and only needs to be executed automatically during imaging.
Data Source
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AI summary
An X-ray diagnosis apparatus (10) according to an embodiment is provided with: an acquisition unit (110a) configured to acquire a plurality of X-ray images sequentially from a subject (P) with a medical device (A1, A3) inserted into a body of the subject (P); a determination unit (110b) configured to determine a region including the medical device (A1, A3) in the X-ray images; a calculation unit (110c) configured to calculate a degree to which the medical device (A1, A3) is dwelling in the region based on the X-ray images, assign weights to a plurality of pixels included in the region based on the degree, and calculate a parameter related to the region based on the weights and pixel values of the pixels; and a setting unit (110d) configured to set an X-ray condition based on the parameter.