Sub-Area Imaging Protocol Selection for Accurate Scan Planning
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Solution Overview
Problem
Existing imaging devices lack the ability to efficiently and accurately determine imaging protocols for diagnostically relevant sub-areas of a patient's body region, requiring extensive user training and expertise due to complexities in body region differentiation and symmetry, leading to inefficient and time-consuming protocol creation.
Innovation Solution
A computer-implemented method that allows users to select diagnostically relevant sub-areas of a patient's body region through an input option, using graphical representations and algorithms to determine an imaging protocol based on patient-specific information and anatomical structures, reducing the need for manual input and user expertise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual protocol creation is used, then imaging accuracy can be ensured, but user training time and complexity increase significantly
Solution Approach 1:
The system performs automatic body region differentiation and sub-area identification without requiring user expertise. The computer automatically analyzes anatomical structures, determines laterality, and identifies diagnostically relevant sub-areas, allowing the system to serve itself rather than relying on user knowledge and manual input.
Solution Approach 2:
The system changes the operational parameters from manual user input to automated computational analysis. By transforming the protocol creation process from user-driven to system-driven through algorithmic analysis of anatomical data, the system maintains imaging accuracy while eliminating the need for extensive user training.
2Measurement precision
If detailed body region differentiation is implemented, then imaging precision improves, but protocol creation time increases
Solution Approach 1:
The system performs preliminary automatic differentiation of body regions and identification of sub-areas before the actual imaging protocol is created. By pre-processing the anatomical analysis and preparing the structured data about body regions, laterality, and relevant sub-areas in advance, the system eliminates time-consuming manual steps during protocol creation.
Solution Approach 2:
The system replaces manual mechanical processes of body region analysis and protocol planning with automated computational algorithms. The computer automatically processes anatomical data, performs image processing, and generates differentiation results, substituting human manual work with efficient machine-based analysis that maintains precision while reducing time.
3Productivity
If automated planning software is used, then workflow efficiency improves, but ability to handle specific sub-area imaging decreases
Solution Approach 1:
The system segments the body region into multiple sub-areas with different diagnostic relevance. By dividing the overall body region into distinct sub-regions and allowing independent identification of diagnostically relevant sub-areas, the system maintains workflow efficiency while gaining the versatility to selectively image specific sub-regions as needed.
Solution Approach 2:
The system dynamically adapts the imaging protocol based on the identified diagnostically relevant sub-areas. Rather than using fixed pre-configured protocols, the system flexibly adjusts the imaging parameters and scope according to the specific anatomical structures and sub-areas that require imaging, enabling both efficiency and adaptability.
Data Source
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AI summary
The invention relates to a computer-implemented method for determining an imaging protocol for acquiring image data of a diagnostically relevant sub-area of a patient's body region using an imaging device, comprising: acquiring (S1) information about the body region, providing (S2) an input option for acquiring information about a sub-area of the body region depending on the information about the body region, acquiring (S3) the diagnostically relevant sub-area depending on the input option for acquiring information about the sub-area of the body region, determining (S4) the imaging protocol for acquiring image data of the diagnostically relevant sub-area of the patient's body region depending on the acquired diagnostically relevant sub-area.Provision (S5) of the imaging protocol for acquiring image data of the diagnostically relevant sub-area of the body region using the imaging device. The input option includes a plurality of sub-areas of the body region. The invention further relates to an imaging device for acquiring image data of a diagnostically relevant sub-area of a body region of a patient and a computer program product, which can be directly loaded into a storage unit of a computing unit of an imaging device according to the invention, with program code means for executing a computer-implemented method according to the invention.