Automated Reference Image Selection in Respiratory Synchronization
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Solution Overview
Problem
The existing methods for selecting reference images in respiratory phase synchronization during therapeutic irradiation are cumbersome and lack convenience, particularly when dealing with multiple fluoroscopic images.
Innovation Solution
A medical apparatus and method that includes an associator to associate tracking values with fluoroscopic images and a selector to efficiently choose reference images based on these values, improving the selection process by utilizing the maximum exhalation and inhalation positions, and optionally adjusting for respiratory disorders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection of reference images from multiple fluoroscopic images is performed, then the selection can be customized based on specific clinical needs, but the operation becomes troublesome and convenience is reduced
Solution Approach 1:
The system performs automatic reference image selection without requiring manual intervention. The selection unit automatically identifies and selects reference images from the plurality of fluoroscopic images based on respiratory phase analysis, eliminating the need for troublesome manual selection while maintaining clinical accuracy
Solution Approach 2:
The system changes the selection criterion from manual operator judgment to automated parameter-based selection using respiratory phase information. By analyzing respiratory waveforms and identifying specific phases (inhalation/exhalation), the system objectively determines reference images based on measurable parameters rather than subjective manual evaluation
2Measurement precision
If fluoroscopic images during respiratory disorder (coughing) are excluded from selection, then the accuracy of reference image is improved, but the selection process becomes more complex and time-consuming
Solution Approach 1:
The system uses respiratory phase information as feedback to automatically determine whether to include or exclude fluoroscopic images from selection. By continuously monitoring respiratory waveforms and detecting disorders such as coughing, the system dynamically adjusts the selection process to maintain accuracy while reducing manual review time
Solution Approach 2:
The system performs preliminary analysis of respiratory phases before final reference image selection. By pre-identifying images captured during respiratory disorders and excluding them automatically, the system prepares a refined set of candidate images, reducing the time required for final selection while ensuring accuracy
Data Source
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AI summary
A medical apparatus according to an embodiment includes an acquirer and a selector. The acquirer is configured to acquire fluoroscopic images of an object captured in time series. The selector is configured to select reference images which include fluoroscopic images corresponding to a maximum exhalation position and a maximum inhalation position of the object from the plurality of fluoroscopic images acquired by the acquirer.