Organ Positioning Assessment With Pre-Exam Guidance Feedback
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Solution Overview
Problem
Current systems lack patient-specific and radiographer-specific support for optimal organ positioning during medical examinations, leading to potential mispositioning issues that cannot be avoided post-acquisition.
Innovation Solution
A device and method for organ positioning assessment that includes data interfaces for patient data retrieval, a pre-assessment unit for generating personalized positioning advice, and a post-assessment unit for providing feedback based on examination images, utilizing machine learning to analyze patient-specific and radiographer-specific factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If general positioning guidelines are used for all patients, then the examination process is simple and quick, but the positioning accuracy is insufficient for patients with individual constraints
Solution Approach 1:
The system performs preliminary assessment of patient-specific constraints (body weight, disabilities, physical constraints) before the actual positioning process. The pre-assessment unit generates personalized positioning advice in advance, allowing radiographers to prepare appropriate positioning strategies before the patient arrives or before the examination begins, thereby improving positioning accuracy without adding complexity during the actual examination process.
Solution Approach 2:
The system enables self-service by automatically retrieving patient data from existing databases (HIS, PACS, RIS) and generating positioning advice without requiring manual input from radiographers. The post-assessment unit automatically evaluates acquired images and provides feedback, allowing the system to serve itself by utilizing already available data infrastructure rather than requiring separate complex data collection systems.
2Reliability
If positioning assessment is performed only after image acquisition, then the system is simple, but mispositioning cannot be avoided and re-examination is required
Solution Approach 1:
The system performs preliminary positioning assessment before image acquisition using the pre-assessment unit, which analyzes patient-specific constraints and generates personalized positioning advice in advance. This allows potential mispositioning issues to be identified and corrected before the actual examination, preventing the need for re-examination and ensuring reliable positioning from the first attempt.
Solution Approach 2:
The system implements continuous feedback through the post-assessment unit, which automatically evaluates acquired images for positioning quality and provides immediate feedback to radiographers. This closed-loop feedback mechanism allows real-time correction of positioning issues and ensures that positioning reliability is maintained throughout the examination process, preventing the need for time-consuming re-examinations.
3Adaptability or versatility
If current automated positioning systems are used, then objective positioning assessment is achieved, but patient-specific constraints and radiographer experience are not considered
Solution Approach 1:
The pre-assessment unit performs preliminary analysis of patient-specific constraints (body weight, disabilities, physical constraints) and radiographer experience levels before generating positioning advice. This preliminary customization allows the system to adapt its recommendations to individual needs without requiring complex real-time adjustments during the examination process.
Solution Approach 2:
The system achieves universality by integrating multiple functions into a single platform: it retrieves data from various sources (HIS, PACS, RIS), performs pre-assessment, provides positioning advice, acquires images, performs post-assessment, and generates feedback. This multi-functional integration allows the system to adapt to different patient types and radiographer skill levels while maintaining a unified, manageable system architecture rather than requiring separate specialized systems for each function.
Data Source
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AI summary
The invention pertains to a device (10) for organ positioning assessment for the acquisition of images (I) in the course of a medical examination of a patient (P), comprising: - a data-interface (11) designed for receiving and/or automatically retrieving physical patient-data (D), - a pre-assessment-unit (12) designed for generating a positioning-advice (A) for the medical examination based on the type of medical examination and the provided patient-data (D), - a data-interface (11) designed for outputting the positioning-advice (A), - a data-interface (11) designed for receiving and/or automatically retrieving a number of examination-images (I) of the patient (P), - a post-assessment-unit (13) designed for generating patient-specific feedback-data (F) based at least on the number of examination-images (I) and the positioning-advice (A), - a data-interface (11) designed for outputting the feedback-data (F). Furthermore, the invention describes a method and a medical imaging system.