Medical Imaging Unit Positioning via Patient Limitation Database
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Solution Overview
Problem
The quality of medical images taken by medical imaging units is often inadequate due to challenges in achieving optimal relative positioning between the unit and the patient, especially for patients with physical or psychological limitations, leading to time-consuming repetitions and inaccurate diagnoses.
Innovation Solution
A computer-implemented method and system that stores patient limitation data sets with corresponding guidance information for relative positioning in a database, allowing for the identification of the most similar data set to a patient's limitations and providing instructions for optimal positioning and projection selection during imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the medical imaging unit is manually positioned by the user, then the relative positioning can be adjusted, but the image quality becomes highly dependent on user experience and skill
Solution Approach 1:
The system automatically determines the optimal relative positioning between the medical imaging unit and patient based on stored limitation data sets, eliminating the need for manual user judgment. The computer-implemented method independently selects positioning parameters and provides guidance information, making the system self-sufficient and removing dependency on user skill and experience.
Solution Approach 2:
The patent replaces the manual mechanical positioning process with an automated computer-based system. Instead of relying on users to physically adjust and position the imaging unit, the system uses stored limitation data sets and automated algorithms to determine optimal positioning, substituting human skill with computational analysis.
2Manufacturing precision
If multiple repetitions of image taking are performed to achieve desired quality, then the diagnostic accuracy improves, but the time consumption increases significantly
Solution Approach 1:
The system performs preliminary action by storing limitation data sets in advance that contain pre-determined optimal positioning information for various patient conditions. When a patient is imaged, the system retrieves the appropriate pre-stored data set and applies the pre-calculated guidance information, eliminating the need for trial-and-error repetitions and directly achieving desired image quality on the first attempt.
3Manufacturing precision
If the relative positioning is strictly controlled to ensure image quality, then the diagnostic accuracy improves, but the ease of operation decreases due to challenging positioning requirements
Solution Approach 1:
The system introduces an intermediary component - the computer-implemented method with stored limitation data sets - that mediates between the patient's specific limitations and the optimal positioning requirements. This intermediary automatically calculates and provides guidance information, translating complex positioning requirements into user-friendly instructions while ensuring strict quality control is maintained.
4Reliability
If audits are introduced to control quality standards, then the image quality consistency improves, but the device complexity and operational burden increase
Solution Approach 1:
The system performs self-quality-control by automatically retrieving and applying the appropriate limitation data set based on the patient's specific conditions. This internal self-service mechanism ensures consistent quality standards are met without requiring external audits or complex administrative oversight, as the system independently verifies and maintains quality through its automated decision-making process.
Data Source
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AI summary
The present disclosure relates to a computer-implemented method for operating a medical imaging unit configured to use a plurality of different projections, the method comprising: storing a plurality of different data sets in a database, each data set including a certain combination of limitations of a patient against the medical imaging unit and an allocated guidance information for a relative positioning between the medical imaging unit and the patient, recording a set of limitations of a certain patient against the medical imaging unit, mapping the recorded set of limitations to the database for identifying the data set in the database with the highest similarity to the recorded set of limitations, providing instructions for executing a relative positioning between the certain patient and the medical imaging unit and particularly for using a certain projection of the plurality of projections of the medical imaging unit based on the guidance information of the identified data set, and taking at least one medical image of the certain patient being positioned based on the guidance information using the medical imaging unit.