Automated Medical Imaging Scan Preparation for Brightness Stability
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Solution Overview
Problem
Existing medical imaging systems face challenges in maintaining consistent brightness during scans due to subject movement and positioning inaccuracies, leading to suboptimal image quality and potential collisions with imaging device components.
Innovation Solution
Implementing automated methods on a computing device to stabilize brightness by adjusting scan parameters based on subject thickness and movement, and using image data to optimize positioning and collision avoidance through real-time monitoring and virtual scanning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual positioning and fixed scan parameters are used, then device complexity is reduced, but image quality deteriorates due to brightness inconsistency and positioning inaccuracies
Solution Approach 1:
The system performs preliminary actions by detecting subject position and calculating equivalent thickness before the actual scan, then pre-adjusts scan parameters and brightness settings based on this information. This preliminary preparation ensures optimal image quality from the start without requiring complex real-time adjustments during scanning.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring subject position relative to the detector, comparing detected positions with target positions, and automatically adjusting scan parameters and brightness based on this feedback. This closed-loop control maintains image quality while managing system complexity through automated responses.
2Stability of the object's composition
If real-time monitoring and automatic parameter adjustment are implemented, then brightness consistency is improved, but device complexity increases
Solution Approach 1:
The system enables self-service by automatically detecting subject position, calculating required brightness adjustments, and adjusting scan parameters without external intervention. The imaging system serves itself by maintaining brightness consistency through automated feedback loops, reducing the need for manual operation while stabilizing image quality.
3Measurement precision
If subject position is not monitored, then measurement precision is reduced, but productivity is improved due to faster scanning
Solution Approach 1:
The system performs preliminary position detection and equivalent thickness calculation before the actual scan begins. This pre-measurement establishes accurate positioning information without slowing down the subsequent scanning process, maintaining both measurement precision and productivity.
Solution Approach 2:
The system maintains continuous useful action by performing position detection and parameter adjustment in seamless integration with the scanning process. The monitoring and adjustment operations occur without interrupting the scan flow, ensuring both accurate position measurement and efficient scanning speed.
4Reliability
If virtual scanning and collision detection are implemented, then safety is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary virtual scanning to detect potential collisions before the actual physical scan begins. By simulating the scan trajectory in advance and identifying collision risks, the system prevents harmful events without requiring complex real-time intervention mechanisms during the actual scan.
Solution Approach 2:
The system applies preliminary anti-action by using virtual simulation to identify and prevent potential collisions before they occur in the physical system. The virtual scan creates a predictive model that counters potential harmful events, enhancing safety without requiring complex active intervention systems.
Data Source
AI summary
The present disclosure provides systems and methods for automated scan preparation and real-time monitoring/adjustment in medical imaging. The automated scan preparation may include positioning a target subject to be scanned by a medical imaging device, determining a rotation scheme of the medical imaging device, targeting a scan region of the target subject with an imaging isocenter of the medical imaging device, determining target position(s) of component(s) of the medical imaging device, performing a virtual scan, generating a reference subject model representing an internal structure of the target subject, or the like. The real-time monitoring/adjustment operations may include achieving automatic brightness stabilization, monitoring a posture of the target subject, adjusting the position of component(s) of the medical imaging device, estimating a dose distribution, monitoring a treatment of the target subject, performing a motion correction, or the like.