Imaging Protocol Planning for Patient-Specific Diagnostic Sub-Areas
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Solution Overview
Problem
Existing imaging apparatuses face inefficiencies in planning imaging protocols due to user training requirements and complexity, particularly when dealing with diagnostically relevant sub-areas of the body, leading to time-intensive and error-prone workflows.
Innovation Solution
A computer-implemented method that allows users to select and adapt imaging protocols based on patient-specific information and sub-areas of the body, using an input option to define diagnostically relevant regions, thereby automating the protocol determination process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a planning program prepares imaging for the entire region of the body, then the imaging protocol covers all possible areas, but it includes irrelevant sub-areas and requires additional detailed examinations
Solution Approach 1:
The planning program divides the region of the body into multiple sub-areas and allows selection of only the diagnostically relevant ones. This segmentation enables users to focus imaging on specific sub-areas (e.g., right hip only) rather than imaging the entire region, thereby eliminating redundant imaging time while maintaining reliability for the relevant areas.
Solution Approach 2:
The system applies different imaging protocols to different sub-areas based on their diagnostic relevance. By identifying and isolating the specific sub-area of interest, the program tailors the imaging approach to local requirements rather than applying a uniform protocol across the entire region, reducing unnecessary imaging time.
2Ease of operation
If the planning program provides preset parameters or scenarios, then the user interface is simplified, but the user must be familiar with the program and have completed appropriate training
Solution Approach 1:
The planning program automatically determines the imaging protocol by acquiring information about the sub-area of interest and autonomously planning the imaging examination. This self-service capability eliminates the need for users to manually configure complex parameters or navigate preset scenarios, thereby simplifying the interface without requiring extensive user training or familiarity with the program's internal logic.
3Measurement precision
If manual creation of imaging protocol is needed, then specific areas can be precisely targeted, but the process becomes time-intensive and complex
Solution Approach 1:
The planning program performs preliminary acquisition of information about the region of the body and pre-processes this data to identify relevant sub-areas before the actual imaging examination. By preparing the imaging protocol in advance based on acquired anatomical information, the system enables precise targeting of specific sub-areas while automating the complex planning process, thereby maintaining precision without the time-intensive manual creation process.
Data Source
AI summary
A computer-implemented method comprises: acquiring information about a region of a body of a patient; provisioning an input option for acquiring information about a sub-area of the region of the body as a function of the information about the region of the body; acquiring a diagnostically relevant sub-area as a function of the input option for acquiring the information about the sub-area of the region of the body; establishing the imaging protocol for acquiring image data of the diagnostically relevant sub-area of the region of the body of the patient as a function of the diagnostically relevant sub-area; provisioning the imaging protocol for acquiring image data of the diagnostically relevant sub-area of the region of the body via the imaging apparatus. The input option includes a plurality of sub-areas of the region of the body.