Hybrid Procedure Simulation Using Patient-Specific Anatomy
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Solution Overview
Problem
Existing minimally invasive medical procedures lack effective simulation models that are customized to individual patients and procedures, necessitating improved systems and methods for generating simulations that provide accurate guidance and training.
Innovation Solution
A hybrid simulation model is generated by modifying a generic model with patient-specific data, integrating anthropometric and diagnostic data to create a customized simulation that adapts to each step of the procedure, enhancing fidelity and realism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a generic model is used for simulation, then the model generation time and resource requirements are reduced, but the accuracy and relevance of the simulation to individual patients deteriorates
Solution Approach 1:
The simulation model is segmented into a generic base model and patient-specific customization components. The generic model provides the overall anatomical framework while patient-specific data (from imaging, anthropometrics, or 3D printing) customizes only the relevant portions, achieving both efficiency and accuracy.
Solution Approach 2:
Different portions of the simulation model have different levels of fidelity. The generic model provides standard anatomy, while patient-specific data is applied locally to regions requiring customization (e.g., specific organ shapes, tumor locations, or anatomical variations), optimizing both computational efficiency and accuracy where needed.
2Measurement precision
If a fully customized patient-specific model is created, then the simulation accuracy and realism are improved, but the time and computational resources required increase
Solution Approach 1:
A generic simulation model is prepared in advance as a reusable template. Patient-specific data is then efficiently integrated into this pre-prepared framework, avoiding the need to create models from scratch for each patient and significantly reducing generation time while maintaining accuracy.
3Measurement precision
If dynamic adaptation to each procedure step is implemented, then the simulation fidelity is improved, but the system complexity increases
Solution Approach 1:
The simulation model dynamically adapts to each procedure step by incorporating real-time or pre-planned procedural information. The model can adjust anatomical representations, instrument trajectories, and tissue interactions based on the specific steps being simulated, enhancing fidelity without requiring complete redesign of the entire system architecture.
Data Source
AI summary
A method and apparatus for simulating a medical procedure to be performed on a patient. Patient-specific data that is specific to the patient on whom the medical procedure is to be performed is received. A generic model is modified using the patient-specific data to generate a hybrid simulation model that is customized to the patient. A simulation of the medical procedure is performed using the hybrid simulation model and dynamic simulation information corresponding to at least one of the medical procedure or the patient. The simulation is customized to both the patient and the medical procedure.