Radiography System Video Storage Forecasting After Fluoroscopy
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Solution Overview
Problem
In fluoroscopy, the storage speed of video images in a storage device may be lower than the imaging speed, leading to incomplete storage at the end of fluoroscopy, which increases the capacity of unsaved images and delays the start of the next fluoroscopy, necessitating a method to inform the technician about the time until the next fluoroscopy can be started.
Innovation Solution
A radiography system that calculates the remaining time for video image storage completion based on data size, storage device speed, and imaging time, and notifies the operator of this time, optionally providing a threshold value, recommended imaging time, and frame rate adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If fluoroscopy continues at high frame rate, then imaging quality is improved, but storage capacity requirement increases and storage becomes incomplete
Solution Approach 1:
The system calculates and notifies the remaining storage time before fluoroscopy ends, allowing preliminary preparation for the next fluoroscopy session. This enables the operator to anticipate the storage completion time and plan accordingly, resolving the contradiction by providing advance information rather than reacting to storage issues after they occur.
2Loss of time
If storage speed is increased, then storage completion time is reduced, but system complexity increases
Solution Approach 1:
The system automatically calculates the remaining storage time based on current storage speed and notifies the operator without requiring manual intervention or complex user input. The calculation is performed self-service by the system using its own storage performance data, reducing the need for external complexity while providing timely information to reduce storage completion time.
3Ease of operation
If notification is provided about remaining time, then operator preparation is improved, but information processing complexity increases
Solution Approach 1:
The system provides feedback to the operator about the remaining storage time, enabling better preparation for the next fluoroscopy session. This feedback mechanism simplifies information processing by using straightforward calculations based on current storage speed and fluoroscopy duration, rather than complex predictive algorithms, thus improving ease of operation without significantly increasing processing complexity.
Data Source
AI summary
A radiography system calculates, in a case in which the fluoroscopy is ended, a remaining time until storage of a video image obtained by the fluoroscopy in a storage device is completed, based on a data size of the video image for which the storage in the storage device is completed among video images temporarily stored in a memory by the fluoroscopy, a data storage speed in the storage device, and a data size of the video image obtained by the fluoroscopy according to a frame rate and an imaging time of the fluoroscopy, and notifies of the calculated remaining time.