Adaptive Model Parameter Determination for Moving Objects
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Solution Overview
Problem
Existing methods for determining parameters of moving objects, such as the heart, are limited in variability due to predefined anatomical structures and user preferences, failing to accommodate diverse anatomical structures, pathologies, and user-specific requirements.
Innovation Solution
An adaptive model-based system that allows users to define regions of interest using a graphical user interface, enabling the adaptation of parameter determination to specific structures, conditions, and preferences, with a parameter determining unit that calculates spatial and temporal dependencies for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a predefined anatomical structure is used for parameter determination, then the device complexity is reduced, but the adaptability to diverse anatomical structures and pathologies deteriorates
Solution Approach 1:
The patent implements a dynamic region selection mechanism that allows the region of interest to be flexibly defined and adjusted based on specific anatomical structures and pathologies. The system transitions from static predefined regions to dynamic user-definable regions, enabling adaptation to diverse cardiac conditions while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The apparatus is designed with universal functionality to handle multiple cardiac conditions, pathologies, and anatomical variations through a single integrated system. The parameter determination unit can process different region definitions and adapt to various cardiac structures, making the device versatile across different medical applications without requiring multiple specialized systems.
2Measurement precision
If the entire adaptive model is adapted to the image data set, then the measurement precision is improved, but the computational cost increases
Solution Approach 1:
The patent applies local quality by adapting only the specifically defined region of the adaptive model to the image data set, rather than the entire model. This localized adaptation approach maintains high measurement precision within the region of interest while significantly reducing computational resources required compared to full-model adaptation.
Solution Approach 2:
The system extracts and focuses computational effort on the specifically defined region of interest from the adaptive model. By isolating and processing only the relevant portion of the model that contains the parameter of interest, the system achieves accurate measurements with reduced computational overhead.
Data Source
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AI summary
The present invention relates to an apparatus for determining a parameter of a moving object, wherein the apparatus comprises an adaptive model providing unit (12) for providing an adaptive model of the object. The user can define the region of the adaptive model by a user interface (13). The apparatus further comprises an image data set providing unit (14) for providing a spatially and temporally dependent image data set of the moving object and an adaptation unit (15) for adapting at least a defined region of the adaptive model to the spatially and temporally dependent image data set for determining a spatially and temporally dependence of the defined region. The parameter of the moving object is determined depending on the spatially and temporally dependence of the defined region by a parameter determining unit (16).