Staff Dose Awareness Indication via Real-Time Normalization
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Solution Overview
Problem
Current dose monitoring systems for staff in X-ray examinations provide only rough estimates of monthly averages and lack real-time feedback, failing to indicate unnecessarily high dose rates during specific situations, leading to potential exposure risks due to variations in patient thickness, clinical tasks, and user positioning.
Innovation Solution
A dose awareness indication device that combines raw dose measurements with information about X-ray apparatus settings and clinical tasks to normalize and display individual dose data in real-time, including automatic threshold settings and alarms, allowing staff to monitor their dose exposure during examinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If only raw dose measurements are provided without normalization, then the measurement is simple and direct, but the staff cannot understand whether the dose level is appropriate for the specific examination type
Solution Approach 1:
The patent introduces a normalization unit that acts as an intermediary between the raw dose measurement and the staff member. This unit compares the measured dose with pre-stored reference values corresponding to different examination types, and presents the information in a comprehensible format (e.g., dose cards showing whether the dose is within expected ranges). This resolves the contradiction by adding an intermediate processing layer that transforms raw data into contextualized information without requiring complex direct analysis by the staff.
Solution Approach 2:
The system implements feedback by providing real-time dose information to staff members during examinations. The normalization unit continuously compares measured doses with reference values and feeds back whether the dose is appropriate, too high, or too low for the current examination type. This feedback mechanism helps staff adjust their behavior to optimize dose protection while maintaining diagnostic quality.
2Reliability
If monthly average dose data is provided without real-time feedback, then the monitoring system is simple, but staff are not aware of unnecessarily high dose rates during specific situations
Solution Approach 1:
The patent applies preliminary action by pre-storing reference dose values for different examination types in the system before examinations begin. When a staff member undergoes an examination, the system automatically retrieves the appropriate reference value and performs comparison without requiring real-time complex calculations. This prepares the system in advance, enabling quick real-time feedback during the examination process.
Solution Approach 2:
The system provides continuous real-time feedback to staff members during examinations by comparing their actual dose exposure with expected doses for the specific examination type. This immediate feedback allows staff to become aware of unnecessarily high dose rates and adjust their positioning or techniques during the procedure, rather than only learning about excessive exposure after the fact through monthly averages.
3Measurement precision
If dose monitoring is performed without normalization based on examination type, then the monitoring process is straightforward, but the dose data does not reflect variations in patient thickness, clinical tasks, and user positioning
Solution Approach 1:
The patent segments the dose monitoring process by creating separate reference value sets for different examination types (e.g., fluoroscopy, angiography, different patient size categories). Instead of using a single generalized dose threshold, the system divides dose assessment into multiple specialized categories, each with its own reference values. This segmentation allows for more precise dose evaluation tailored to specific clinical scenarios while keeping each segment's reference data relatively simple.
Solution Approach 2:
The system changes the reference parameter from a single generic dose threshold to multiple examination-type-specific reference values. By adjusting the reference parameter according to the examination type, patient size category, and clinical task, the system achieves more accurate dose assessment. The normalization unit automatically selects and applies the appropriate reference values based on the current examination context.
Data Source
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AI summary
According to an exemplary embodiment of the invention a dose awareness indication device is provided in which an individual dose is determined on the basis of raw dose measuring data, dose sensor and information data from an examination apparatus, wherein the information data from the examination apparatus relates to the type of examination. Thus, an individualized determination of dose data may be provided, depending on the actual examination process.