Medical Image Registration Parameter Selection
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Solution Overview
Problem
Conventional medical image registration methods lack robustness and precision when applied to unspecific registration problems or image contents, requiring manual parameter setting which is time-consuming and often unsuccessful for technically untrained clinical staff.
Innovation Solution
A method and device that automatically select a registration parameter set based on predefined application cases, including acquisition properties, image content, and selected regions, allowing for precise and robust registration of medical image data without manual user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional registration methods are used with fixed parameterization for specific applications, then registration precision is improved for those specific cases, but robustness deteriorates when applied to other registration problems
Solution Approach 1:
The system dynamically adapts registration parameters based on the detected application case. Instead of using fixed parameterization for specific applications, the system automatically selects and adjusts parameters according to the actual registration problem at hand, enabling both precision for specific cases and robustness for general applications.
Solution Approach 2:
The invention changes registration parameters automatically based on the detected application case. The system provides different parameter sets for different application cases (e.g., rigid vs. deformable registration, different imaging modalities) and selects the appropriate set, thereby maintaining precision across various applications without manual intervention.
2Measurement precision
If manual parameter setting is performed to achieve precise registration, then registration precision is improved, but time consumption and operational complexity increase
Solution Approach 1:
The system performs self-service by automatically detecting the application case and selecting appropriate registration parameters without user intervention. The technical staff only need to specify the application case, while the system autonomously configures the optimal parameters, eliminating time-consuming manual trial-and-error settings.
Solution Approach 2:
The system prepares multiple registration parameter sets in advance for different application cases. When a registration task is initiated, the system quickly matches the detected application case with the pre-prepared parameter set, avoiding the need for manual parameter optimization during the registration process.
3Measurement precision
If manual parameter setting is performed to achieve precise registration, then registration precision is improved, but ease of operation deteriorates for technically untrained users
Solution Approach 1:
The system empowers technically untrained users by handling the complex parameter setting task automatically. Users only need to specify the application case (which is often intuitive in medical contexts), and the system takes care of the technical parameter configuration, making the operation accessible to non-experts while maintaining high precision.
Solution Approach 2:
The application case specification acts as an intermediary between the user and the complex registration parameters. Instead of directly manipulating technical parameters, users interact with the higher-level application case concept, which the system then translates into appropriate parameter settings, simplifying the user interface and operation.
Data Source
AI summary
The present embodiments relate to a method for registering medical image data. The method includes providing a registration parameter set for each of a plurality of different application cases, each of the plurality of different application cases being defined by at least one feature. Each registration parameter set contains registration parameters predefined for the associated application case. The method also includes providing first image data and second image data, which are to be registered onto one another. In response to the specification of an application case for the first image data and the second image data to be registered, a registration parameter set is automatically selected from the provided registration parameter sets in accordance with the specified application case. The method includes automatically performing a registration of the first image data onto the second image data using the selected registration parameter set.