Virtual Prosthesis Tissue Modeling via Deformable Registration
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Solution Overview
Problem
Current tissue imaging systems fail to provide comprehensive modeling of how prosthetic devices interact with tissues, lacking the ability to observe and predict the mutual deformation and impact between prosthetics and tissues, which is crucial for effective prosthetic development and surgical planning.
Innovation Solution
A tissue modeling engine that receives prosthetic and tissue characteristics to construct a virtual model, illustrating time-varying mutual deformation between the prosthetic and tissue, allowing healthcare providers to visualize and analyze interactions in 2D, 3D, or 4D formats, using deformable registration techniques and data from various imaging modalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If medical imaging systems are used for pre-operative planning, then prosthetic sizing and surgical approach can be determined, but tissue modeling information relating to prosthesis-tissue interaction is not provided
Solution Approach 1:
The patent combines multiple imaging modalities (CT, MRI, ultrasound) with finite element analysis to create a comprehensive virtual tissue model that integrates both geometric information for sizing and material properties for interaction modeling. This merging allows simultaneous determination of prosthetic size and prediction of tissue-prosthesis interactions.
Solution Approach 2:
The patent creates a virtual copy of the patient's tissue using imaging data and material properties to build a computational model. This virtual tissue model replicates the mechanical behavior of actual tissue, allowing prediction of deformations and interactions without risking patient safety during pre-operative planning.
2Ease of operation
If traditional imaging systems are used, then surgical planning can be performed, but the ability to observe and predict mutual deformation between prosthesis and tissue is lacking
Solution Approach 1:
The patent performs virtual surgical trials in the computational model before actual surgery. The finite element analysis predicts how tissues will deform and how the prosthesis will interact with tissues during implantation, allowing surgeons to evaluate different approaches and select the optimal surgical plan beforehand.
Solution Approach 2:
The patent introduces a computational modeling system as an intermediary between traditional imaging and surgical decision-making. This intermediary process translates imaging data into predictive simulations of prosthesis-tissue interactions, providing additional information that bridges the gap between static imaging and dynamic surgical outcomes.
3Loss of information
If a virtual tissue model with prosthesis integration is constructed, then prosthesis-tissue interaction can be visualized, but computational complexity and modeling time increase
Solution Approach 1:
The patent segments the computational model into distinct modules: imaging data processing, material property assignment, mesh generation, and finite element analysis. This segmentation allows each module to be optimized independently and facilitates integration of different imaging modalities and prosthesis types without overwhelming system complexity.
Data Source
AI summary
Systems and methods of integrating a virtual prosthesis with a tissue model are presented. Tissue characteristics and prosthesis characteristics can be leveraged to construct observable tissue models that present a model of mutual deformation, especially a time-varying mutual deformation, of a tissue and a possible prosthesis. The mutual deformation indicates how the tissue and prosthesis impact each other over time, possibly on a voxel-by-voxel basis based on deformable registration techniques.