Dynamic Anatomic Atlas for Physiologic Movement Analysis
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Solution Overview
Problem
Existing anatomical atlases do not account for physiologic movements and time-dependent physical properties, limiting their ability to accurately analyze and classify patient images.
Innovation Solution
Integration of dynamic atlas data, including time-dependent movement and property changes, into anatomical atlases, allowing for the generation of a dynamic anatomic atlas that includes static and dynamic data, enabling enhanced patient image analysis and classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static anatomical atlas data is used, then the atlas structure is simple and easy to manage, but the ability to analyze physiologic movements and time-dependent properties is insufficient
Solution Approach 1:
The patent applies the Dynamics principle by transforming the static anatomical atlas into a dynamic atlas that incorporates time-dependent physical properties. The atlas now includes dynamic data such as physiologic movements (respiration, heartbeat), conscious movements, and other time-varying properties. This allows the atlas to adapt to and accurately represent the dynamic nature of human anatomy during various physiological states, thereby improving the reliability of patient image analysis while managing complexity through systematic data organization.
2Measurement precision
If dynamic atlas data is integrated into the anatomical atlas, then the accuracy of patient image analysis is improved, but the complexity of the atlas increases
Solution Approach 1:
The patent applies the Segmentation principle by dividing the dynamic atlas data into distinct categories and components. The atlas is segmented into static anatomical data and multiple types of dynamic data (physiologic movements, conscious movements, unconscious movements, other time-dependent properties). Each segment can be independently processed, analyzed, and managed, which improves measurement precision for specific movement types while preventing overwhelming complexity through structured organization.
Solution Approach 2:
The patent applies the Another dimension principle by adding a temporal dimension to the traditional static 3D anatomical atlas. The atlas now incorporates time as a fourth dimension, enabling the representation of physiologic movements and time-dependent physical properties. This dimensional expansion allows for precise measurement and analysis of dynamic anatomical changes while maintaining systematic data structure through coordinated transformation matrices and time-parameter associations.
3Adaptability or versatility
If multiple patient data are used to generate the atlas, then the representativeness of the atlas is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent applies the Preliminary action principle by pre-processing and normalizing patient data before atlas generation. Dynamic data from multiple patients are pre-aligned using registration techniques, and transformation matrices are pre-computed to establish consistent coordinate systems. This preliminary preparation reduces the computational burden during the actual atlas generation process, enabling the integration of multiple patient datasets for improved representativeness while minimizing processing time and resource requirements.
Data Source
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AI summary
The invention relates to a dynamic anatomic atlas comprising: - static atlas data describing atlas segments; and - dynamic atlas data comprising information on a dynamic property which information is respectively linked to the atlas segments, wherein the information on the dynamic property is obtained from a dynamic DRR