Radiation Detector Error Correction and Body Movement Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Radiation imaging systems face challenges in accurately combining images due to mechanical errors such as inclination and displacement of the imaging surface, as well as body movements of subjects, leading to shifts at the boundaries of combined images, which affect the accuracy of measurements.
Innovation Solution
A radiation imaging apparatus that includes an imaging means, a radiation detector, and a moving mechanism to correct mechanical errors and detect body movements by reading out signals from the detector, detecting mechanical errors, and obtaining body movement data to generate corrected images and combined images with reduced shifts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple imaging operations are performed to obtain a plurality of images for combined image generation, then the imaging coverage and diagnostic information are improved, but body movements of the subject occur during the temporal lags between operations causing shifts at the boundaries of combined images
Solution Approach 1:
The patent applies preliminary action by detecting body movements during imaging operations and using this information to correct image positions before combining the images. The movement detection and correction processes are performed in advance of the final image combination, ensuring that boundary shifts are eliminated prior to generating the combined image.
2Ease of manufacture
If mechanical errors such as inclination and displacement of the imaging surface are present, then the apparatus can be manufactured and installed with practical tolerances, but these errors cause shifts at the boundaries of combined images
Solution Approach 1:
The patent employs feedback by detecting the actual positions of the imaging surface and body movements, then using this detected information to calculate and apply correction amounts. The correction process uses feedback from movement detection to dynamically adjust image positions, compensating for both mechanical errors and physiological movements.
3Speed
If the imaging operations are performed quickly to reduce temporal lags, then body movements are reduced, but the mechanical errors and reading out time still cause shifts at the boundaries
Solution Approach 1:
The patent replaces mechanical precision requirements with an information processing system. Instead of relying solely on precise mechanical positioning, the system uses movement detection and computational correction to achieve accurate boundary alignment. This substitution allows practical mechanical tolerances while maintaining high measurement precision through software-based correction.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The apparatus effectively corrects mechanical errors and detects body movements, enabling accurate alignment and combination of images, improving diagnostic accuracy and preventing unnecessary radiation exposure by issuing warnings for excessive subject movement.
Implementation Method 1
various radiation detectors (so called 'Flat Panel Detectors', hereinafter referred to as FPD's) that record radiation images related to subjects when radiation which has passed through the subjects is irradiated thereon
Data Source
AI summary
A radiation detector is moved along a predetermined axis of movement. Radiation which has passed through a subject is irradiated onto the radiation detector each time the position of the radiation detector changes due to the movement. Signals are read out from the radiation detector each time that radiation is irradiated, to obtain a plurality of radiation images of the subject. Mechanical errors of the radiation detector are detected at each imaging operation, and mechanical error corrected images in which the mechanical errors are corrected are obtained. Amounts of shift of the subject among the mechanical error corrected images are detected, and amounts of movement of the subject during imaging operations are detected based on the amounts of shift.