Medical Imaging System Automatic Scan Parameter Determination
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Solution Overview
Problem
Current medical imaging systems require manual determination of patient posture and scan parameters, which is time-consuming, prone to human error, and increases patient discomfort and scan duration.
Innovation Solution
A method and system that utilize optical image data to automatically determine scan ranges and parameter values for medical devices, including CT and MRI scans, by processing image data to identify scan areas and adjust parameters accordingly, reducing the need for manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual determination of patient posture and scan parameters is used, then flexibility and adaptability to individual cases are improved, but time consumption and operational complexity increase
Solution Approach 1:
The system automatically determines patient posture and scan parameters by processing optical image data without requiring manual intervention. The processing device autonomously identifies anatomical structures, determines posture information, and generates scan parameter configurations, enabling the system to serve itself rather than requiring operator input for each parameter determination.
Solution Approach 2:
The system performs preliminary determination of patient posture and scan parameters before the actual medical scan begins. By processing optical images and determining parameters in advance, the system prepares all necessary configuration data beforehand, eliminating time-consuming manual adjustments during the scanning process.
2Measurement precision
If manual determination of scan parameters is performed, then accuracy can be adjusted based on expert knowledge, but human error and subjectivity increase
Solution Approach 1:
The system replaces manual mechanical determination processes with automated computational image processing. The processing device uses algorithmic analysis of optical image data to objectively determine posture and scan parameters, substituting human manual assessment with consistent, repeatable computational methods that eliminate human error and subjectivity.
Solution Approach 2:
The system incorporates feedback mechanisms where the processing device continuously refines parameter determination based on analyzed image data. The automated system provides consistent feedback loops that ensure reliable and reproducible results across different patients and operators, maintaining high accuracy through systematic validation.
3Productivity
If automated image processing is implemented, then productivity and scan speed are improved, but system complexity and computational requirements increase
Solution Approach 1:
The automated determination system is divided into distinct functional modules: optical image acquisition, image processing, posture determination, and parameter generation. Each module performs a specific function independently, allowing the complex overall process to be managed through modular components that can be developed, tested, and maintained separately, reducing the practical complexity despite high functionality.
4Manufacturing precision
If detailed parameter determination for each scan area is performed, then image quality and diagnostic accuracy are improved, but processing time and computational load increase
Solution Approach 1:
The system determines scan parameters specifically tailored to each scan area based on local anatomical features identified in the optical image data. Different parameter sets are generated for different regions of the patient's body, with each area receiving optimized parameters appropriate to its specific characteristics, ensuring high image quality without applying unnecessary processing to all areas uniformly.
Data Source
AI summary
The present disclosure is related to imaging systems and methods. The method includes obtaining optical image data of a subject to be scanned by a medical device. The method includes determining a scan range of the subject based on the optical image data. The scan range includes at least one scan area of the subject. The method includes determining at least one parameter value of at least one scan parameter based on the at least one scan area of the subject. The method further includes causing the medical device to scan the subject based on the scan range and the at least one parameter value of the at least one scan parameter