Automated Medical Imaging Scan Preparation and Real-Time Monitoring
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Solution Overview
Problem
Current medical imaging systems lack automated solutions for scan preparation and real-time monitoring, leading to inefficiencies and potential human errors during the imaging process.
Innovation Solution
The implementation of a method on a computing device with processors and storage devices for automated scan preparation and real-time monitoring, which includes automatic brightness stabilization, monitoring for subject movement, and adjusting scan parameters based on image data and subject models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated scan preparation and real-time monitoring are implemented, then efficiency and accuracy of medical imaging are enhanced, but device complexity increases
Solution Approach 1:
The system performs automatic brightness stabilization by self-adjusting scan parameters based on detected subject position and equivalent thickness, eliminating the need for manual operator intervention. The system generates subject models automatically and uses these models to determine optimal scan parameters, allowing the device to service itself during the imaging process.
Solution Approach 2:
The system continuously monitors subject position during scanning using image capturing devices, compares the actual position with the planned position, and automatically adjusts scan parameters in real-time based on detected deviations. This closed-loop feedback mechanism ensures image quality while maintaining automated operation.
2Reliability
If manual scan preparation and monitoring are used, then device complexity is reduced, but human errors occur during imaging process
Solution Approach 1:
The system automatically generates subject models from image data and uses these models to determine optimal scan parameters, eliminating manual parameter setting that is prone to human error. The automatic brightness stabilization feature continuously adjusts scan parameters based on real-time subject position detection, ensuring consistent image quality without operator intervention.
Solution Approach 2:
The system replaces manual mechanical adjustment of scan parameters with automated computational determination based on subject models. The computer device calculates equivalent thickness and determines scan parameters algorithmically, substituting human judgment with automated image processing and analysis.
3Manufacturing precision
If real-time monitoring and automatic adjustments are implemented, then scan quality is improved, but loss of time occurs in processing image data
Solution Approach 1:
The system generates subject models and determines equivalent thickness values before the actual scanning begins, using pre-acquired image data. This preliminary preparation allows the scan parameters to be optimized in advance, reducing delays during the actual imaging process.
Solution Approach 2:
The system performs real-time monitoring and automatic brightness stabilization continuously during the scan without interrupting the imaging process. Parameter adjustments are made on-the-fly based on continuous subject position detection, maintaining uninterrupted scanning and eliminating time loss from manual interventions.
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.