Patient-Specific Orthopedic Implants for Deformed Bone Fit
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Solution Overview
Problem
Current orthopedic implant technologies face challenges in creating patient-specific and mass-customized solutions that accurately address individual anatomical variations, particularly in cases of partial, deformed, or shattered bones, leading to suboptimal fit and functionality.
Innovation Solution
The method involves generating patient-specific and mass-customized orthopedic implants by comparing abnormal bone models with reconstructed models, optimizing parameters, and creating electronic design files for customized implants using data from statistical atlases and imaging techniques like MRI, CT, and X-ray images, ensuring precise fit and functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If patient-specific orthopedic implants are designed to accurately match individual anatomical features, then implant fit and functionality are improved, but manufacturing complexity and cost increase
Solution Approach 1:
The system performs preliminary actions by creating patient-specific 3D bone models from imaging data (CT, MRI, X-ray) before implant manufacturing. These models are used to identify missing or deformed bone regions, plan reconstruction strategies, and design custom implants that precisely match individual anatomy, thereby improving fit accuracy while streamlining the overall process through pre-planning
Solution Approach 2:
The system utilizes parameter changes by optimizing various implant design parameters (size, shape, geometry) based on patient-specific bone model data. The software allows adjustment of multiple parameters to achieve optimal implant-bone fit while maintaining manufacturing feasibility, balancing customization needs with production complexity
2Measurement precision
If comprehensive bone model comparison and reconstruction are performed to identify missing or deformed bone, then surgical planning accuracy is improved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary bone model comparison and reconstruction before surgery to identify missing or deformed bone regions. By processing imaging data and creating 3D models in advance, the system achieves high measurement precision for surgical planning while reducing intraoperative decision-making time
Solution Approach 2:
The system creates digital 3D copies of patient bones from imaging data, allowing virtual comparison, measurement, and planning without repeatedly handling physical specimens. These digital models enable accurate identification of bone defects and facilitate preoperative optimization, reducing the need for time-consuming intraoperative measurements
3Manufacturing precision
If statistical atlases and multiple imaging techniques are utilized for implant design, then anatomical accuracy is improved, but system complexity and data integration requirements increase
Solution Approach 1:
The system merges multiple imaging techniques (CT, MRI, X-ray) and statistical atlas data into a unified patient-specific 3D bone model. This integration combines the strengths of different imaging modalities and population-based anatomical data to achieve high anatomical accuracy while providing a comprehensive foundation for implant design
Solution Approach 2:
The software system acts as an intermediary that processes and integrates data from multiple imaging sources and statistical atlases. It transforms raw imaging data and population statistics into standardized 3D bone models, simplifying the complexity of data integration and providing a unified interface for implant planning and design
Data Source
AI summary
A method of constructing a patient-specific orthopedic implant comprising: (a) comparing a patient-specific abnormal bone model, derived from an actual anatomy of a patient's abnormal bone, with a reconstructed patient-specific bone model, also derived from the anatomy of the patient's bone, where the reconstructed patient-specific bone model reflects a normalized anatomy of the patient's bone, and where the patient-specific abnormal bone model reflects an actual anatomy of the patient's bone including at least one of a partial bone, a deformed bone, and a shattered bone, wherein the patient-specific abnormal bone model comprises at least one of a patient-specific abnormal point cloud and a patient-specific abnormal bone surface model, and wherein the reconstructed patient-specific bone model comprises at least one of a reconstructed patient-specific point cloud and a reconstructed patient-specific bone surface model; (b) optimizing one or more parameters for a patient-specific orthopedic implant to be mounted to the patient's abnormal bone using data output from comparing the patient-specific abnormal bone model to the reconstructed patient-specific bone model; and, (c) generating an electronic design file for the patient-specific orthopedic implant taking into account the one or more parameters.