Mobile Radiography Frame Extraction for Lower Support Processing Load
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Solution Overview
Problem
Existing image processing techniques for medical images, particularly moving images, face significant load increases due to the large number of images that need to be processed, which current methods are insufficient in reducing.
Innovation Solution
An image processing device and method that extracts frames from a moving image for diagnosis or imaging support processes, using a processor to detect specific conditions or subject movement to initiate the support process, thereby reducing the load on processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the diagnosis support process is executed for the entire moving image, then the completeness of diagnosis is improved, but the load on the support process becomes excessively large
Solution Approach 1:
The patent extracts only the necessary frames from the moving image for diagnosis support processing. The processor identifies and extracts specific frames based on predetermined conditions (such as frames containing anatomical parts of interest or frames at regular intervals), thereby reducing the processing load while maintaining diagnosis effectiveness.
Solution Approach 2:
The patent segments the moving image into discrete frames and selectively processes only the relevant portions. By dividing the continuous moving image into individual frames and applying selection criteria, the system processes only the necessary segments rather than the entire image sequence, reducing computational burden.
2Measurement precision
If the diagnosis support process is executed for all frames of a moving image, then the diagnostic accuracy is improved, but the processing time increases significantly
Solution Approach 1:
The patent extracts only the necessary frames from the moving image for diagnosis support processing. The processor identifies and extracts specific frames based on predetermined conditions (such as frames containing anatomical parts of interest or frames at regular intervals), thereby reducing the processing load while maintaining diagnosis effectiveness.
Solution Approach 2:
The patent performs preliminary frame extraction and selection before the actual diagnosis support processing. By pre-identifying and extracting only the relevant frames based on predetermined conditions, the system prepares the data in advance, reducing the processing time during the actual diagnostic analysis.
3Adaptability or versatility
If the support process processes the entire moving image, then the comprehensive analysis is improved, but the resource utilization becomes inefficient
Solution Approach 1:
The patent extracts only the necessary frames from the moving image for diagnosis support processing. The processor identifies and extracts specific frames based on predetermined conditions (such as frames containing anatomical parts of interest or frames at regular intervals), thereby reducing the processing load while maintaining diagnosis effectiveness.
Solution Approach 2:
The patent applies different processing qualities to different parts of the moving image. Instead of uniformly processing the entire image sequence, the system identifies local regions of interest (specific frames containing anatomical parts) and applies diagnostic processing only to those localized areas, optimizing resource utilization.
Data Source
AI summary
A console of a mobile radiography apparatus includes a CPU that acquires a fluoroscopic image captured by a radiation detector and a visible light image captured by a visible light camera as a moving image related to the capture of the fluoroscopic image of a subject by the mobile radiography apparatus. The CPU extracts a frame to be subjected to a support process, which is a diagnosis support process or an imaging support process, from the moving image. A GPU executes the support process for the extracted frame.