3D Dynamic Anatomical Modeling for Neural Pathway Simulation
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Solution Overview
Problem
Current anatomical atlases inadequately represent communication pathways in organisms, particularly in three-dimensional spaces, relying on two-dimensional projections that fail to accurately depict the complex interactions and dynamics of neural and lymphatic connections, limiting their effectiveness in medical applications such as surgery and disease modeling.
Innovation Solution
A digital, three-dimensional, dynamic, and active modeling system that simulates transport across channels with varying speeds, using software objects and classes to represent anatomical structures and interactions, allowing for individualized or generic models of biological systems, enabling precise simulation and visualization of complex biological processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If two-dimensional projections are used to represent communication pathways in anatomical atlases, then the representation is simple and易于制造, but the accuracy and completeness of depicting three-dimensional neural and lymphatic connections deteriorates
Solution Approach 1:
The patent transitions from two-dimensional atlas representations to three-dimensional digital models that accurately capture the spatial complexity of neural and lymphatic pathways. The system uses volumetric data and 3D coordinate systems to represent communication pathways in their true spatial configuration, resolving the contradiction by adding dimensional information rather than simplifying the representation.
Solution Approach 2:
The patent creates digital copies of anatomical structures through imaging techniques and computational modeling. These digital models serve as virtual replicas that can be manipulated, measured, and analyzed without physical constraints, allowing accurate 3D representation while maintaining ease of modification and updating through software rather than physical reconstruction.
2Device complexity
If static anatomical maps are used, then the simplicity of the model is maintained, but the ability to simulate dynamic transport processes and varying speeds deteriorates
Solution Approach 1:
The patent implements dynamic simulation capabilities that allow the model to represent time-varying transport processes. The system can simulate different transport speeds, directional flows, and temporal changes in neural and lymphatic communication, transforming the static anatomical map into a dynamic virtual environment that reflects the living system's behavior.
Solution Approach 2:
The patent creates a multi-functional digital platform that serves both as an anatomical atlas and as a simulation environment. The same 3D model structure supports multiple types of transport simulations (neural signals, lymphatic flow, cellular migration) with varying parameters, making the system universally applicable to different biological processes without requiring separate models for each function.
3Ease of operation
If generic anatomical models are used, then the ease of application is improved, but the precision for individualized medical planning deteriorates
Solution Approach 1:
The patent enables customization of the digital anatomical model to match individual patient anatomy through imaging data integration. While the base model structure provides a universal framework for ease of application, the system allows local adaptation of specific anatomical features, pathway locations, and transport parameters to reflect individual variations, achieving both generality and precision simultaneously.
Data Source
AI summary
A method and system for mapping anatomical connection and signaling across a multiplicity of channels, channel contents, and channel speed. In particular, the anatomical connection and signaling is mapped in relation to the human brain. Constructs a three-dimensional, dynamically structured, active model, for general or individual patterns. Uses for the present invention include: risk reduction in surgery to significant channels; planning cell insertion at sites where they can be expected to migrate to a less reachable target site; guiding searches for metastatic tumors; indirectly localizing brain structures; constructing models of disease in which multiple sites are involved in the deficit and any proposed repair; and building simulation of normal processes which require the sequential interaction of multiple sites.