Dental Implant Selection via FEA Simulation

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Solution Overview

Problem

Current dental implant systems lack the ability to accurately predict the effects of implant placement into bone during the initial stages, particularly in terms of stress levels, initial stability, and torque required, as real-time finite element analysis (FEA) simulations have not been performed for implant placement.

Innovation Solution

A method involving a CT scan to create a 3D CAD model of the patient's mouth, assigning properties based on the scan data, selecting a desired implant location, and performing FEA simulations to optimize variables such as initial implant stability and torque required, allowing for the selection or design of an appropriate implant before surgery.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If real-time FEA simulation is performed during implant placement, then prediction accuracy of stress levels and initial stability is improved, but computational time and complexity increase

Engineering Contradiction:
Improveprediction accuracyVSAvoidcomputational time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs FEA simulations before the actual implant placement surgery to predict stress levels, initial stability, and optimal implant selection. By conducting the simulation in advance rather than in real-time during surgery, the system achieves accurate predictions without delaying the surgical procedure, thus resolving the contradiction between prediction accuracy and computational time.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If multiple implant variables are optimized using FEA, then implant success rate is improved, but device complexity and analysis requirements increase

Engineering Contradiction:
Improveimplant success rateVSAvoidanalysis complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent optimizes multiple implant variables including implant dimensions, material properties, placement location, and orientation by changing these parameters in the FEA model to find the optimal configuration. This systematic parameter optimization improves implant success rate while managing analysis complexity through computerized simulation rather than physical experimentation.

Inventive Principle:
Principle #35Parameter changes

3Adaptability or versatility

If custom implant design is performed for each patient, then adaptability to patient-specific anatomy is improved, but manufacturing complexity and cost increase

Engineering Contradiction:
Improvepatient-specific adaptabilityVSAvoidmanufacturing complexity
Core Design Contradiction:
Adaptability or versatilityVSEase of manufacture

Solution Approach 1:

The patent creates a digital 3D model (copy) of the patient's anatomy from CT scan data and performs FEA simulations on this virtual model to design custom implants. This digital copying and simulation approach enables patient-specific customization without immediately requiring complex manufacturing processes, as the design can be standardized or modified based on simulation results before production.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS10925694B2Method for selecting implant components
Publication Date: 2021.02.23 BIOMET 3I LLC
  • US10925694B2 patent drawing
  • US10925694B2 patent drawing
  • US10925694B2 patent drawing

AI summary

Methods of selecting or designing an implant to be used in a patient are provided. A CT scan of a patient's mouth is performed. A 3D CAD model of the patient's mouth is created utilizing data generated by the CT scan. Properties of the patient's mouth are determined based upon CT scan data and assigned to the 3D CAD model. A desired location for an implant is selected. A FEA simulation is performed on the 3D CAD model to choose an implant or to design an implant that optimizes a selected variable.