Automated Bone Treatment Agent Generation Using Mirrored 3D Data
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Solution Overview
Problem
Existing methods for producing bone treatment devices, such as implants and cutting templates, lack sufficient accuracy of fit, are time-consuming, costly, and complex, with limited user-friendliness and planning security.
Innovation Solution
A method using 3D data from multiple patients to create a statistical model, which is combined with the patient's data through averaging and mirroring to enhance the accuracy of fit, allowing for faster, more cost-effective, and simpler production of personalized bone treatment agents, including implants and cutting guides.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If 3D data from a single reference patient is used to create bone treatment devices, then the manufacturing process is simpler, but the accuracy of fit is insufficient
Solution Approach 1:
The patent combines 3D data from multiple reference patients to create a composite reference model. This merging of multiple data sources improves the accuracy and representativeness of the reference model, leading to better fit accuracy for the generated bone treatment devices while distributing the complexity across multiple standardized reference subjects.
Solution Approach 2:
The patent performs preliminary actions by pre-processing and standardizing 3D data from multiple reference patients before actual device generation. This includes creating standardized reference models in advance, which simplifies the subsequent device generation process while maintaining high accuracy through the use of pre-validated reference data.
2Productivity
If traditional methods are used to manufacture bone treatment devices, then the process is straightforward, but production time is excessive and costs are high
Solution Approach 1:
The patent uses digital copying and replication of standardized reference models to generate patient-specific bone treatment devices. By creating virtual copies of pre-processed reference data and adapting them through automated algorithms, the system dramatically reduces manufacturing time and costs while maintaining high precision, eliminating the need for repeated manual modeling processes.
Solution Approach 2:
The patent applies parameter changes by automatically adjusting geometric parameters of reference models to match patient-specific requirements. This automated parameter optimization allows rapid generation of customized devices without manual intervention, significantly improving productivity while reducing both time and resource consumption.
3Manufacturing precision
If complex planning procedures are used to ensure accuracy, then the fit precision improves, but the user-friendliness and planning simplicity deteriorate
Solution Approach 1:
The system performs self-service by automatically executing the entire device generation process without requiring manual intervention from users. The automated algorithms independently handle data processing, model generation, and device customization, maintaining high precision while dramatically improving ease of operation. Users simply need to input basic patient parameters, and the system handles all complex planning procedures automatically.
4Ease of manufacture
If standardized reference models are used, then manufacturing costs decrease, but adaptability to individual patients may be compromised
Solution Approach 1:
The patent creates universal reference models that serve multiple functions: they provide a standardized base for manufacturing (reducing costs) while simultaneously being adaptable to individual patient needs through automated parameter adjustment. The same reference model framework is universally applied across different patients, with automatic customization ensuring patient-specific adaptability, thus achieving both cost efficiency and versatility.
Data Source
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AI summary
The invention relates to a method (1) for producing bone treatment means (7), with a first step (2) in which original 3D data of a bone (8) or of a bone portion of a specific patient to be treated are made available, wherein a site to be treated is present inside the bone (8) or the bone portion, with a second step (3) involving the use of 3D data of a reference patient who has been selected according to predefined criteria, wherein the 3D data correspond to the bone (8) or to the bone portion with the site to be treated, and with a third and reconstructive step (4) for supplementing 3D data for the reconstruction of the site to be treated, wherein a mirroring step (5) is used in which 3D data of the specific patient to be treated, which have their origin on a mirror-symmetrical other side of the patient, are superposed, specifically at a site corresponding to the bone (8) or bone portion, in order to obtain the combined 3D data.