Biomechanical Model Adaptation Using Workflow and Tracking Data
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Solution Overview
Problem
Existing biomechanical models struggle to accurately adapt to the current status of a patient during medical interventions, limiting their effectiveness in procedures like medical navigation and image co-registration.
Innovation Solution
A computer-implemented method that adapts a biomechanical model of an anatomical body part by determining status changes based on workflow data, using tracking data to update the model's boundary conditions, and incorporating region-of-interest and imaging data to refine the model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a biomechanical model is used to portray changes of anatomy during medical intervention, then the model can update patient image data for navigation and planning, but the model fails to accurately adapt to the current status of the patient in real-time
Solution Approach 1:
The system continuously updates the biomechanical model by comparing predicted anatomy changes with actual intraoperative imaging data, creating a closed-loop feedback mechanism that maintains model accuracy throughout the procedure. The model adaptation is driven by feedback from tracking data and imaging modalities that reflect the patient's current status.
Solution Approach 2:
The biomechanical model transitions from a static preoperative representation to a dynamic system that continuously adapts during the procedure. The model incorporates real-time boundary condition updates and material property adjustments based on intraoperative measurements, allowing it to reflect changing anatomical states.
2Measurement precision
If multiple imaging modalities and tracking data are integrated to update the biomechanical model, then the model accuracy improves, but the system complexity increases
Solution Approach 1:
The biomechanical model serves multiple functions simultaneously: it predicts tissue deformation, integrates data from various imaging modalities, guides surgical navigation, and updates in real-time. This multi-functional approach consolidates what would otherwise require separate systems into a unified platform.
Solution Approach 2:
The system employs intermediate processing layers that translate data from different imaging modalities and tracking systems into a common framework compatible with the biomechanical model. These intermediaries handle data normalization, coordinate transformations, and synchronization, reducing the complexity of direct multi-source integration.
Data Source
AI summary
Disclosed is a computer-implemented of adapting a biomechanical model of an anatomical body part of a patient to a current status of the patient. The method encompasses determination of a currently executed step of a workflow such as a medical intervention, the result of the determination serving as a basis for adapting and/or updating a biomechanical model of an anatomical body part to the corresponding current status of the patient. The determination of the current workflow step may also be used as basis for controlling an imaging device for tracking entities around the patient or for imaging the anatomical body part or acquiring further data or for urging the user to perform a specific action such as acquisition of information using a tracked instrument such as a pointer. The biomechanical model has been generated from atlas data. The data sets which are generated according to the current workflow step may additionally or alternatively serve as a basis for determining the current workflow step and/or adapting the further workflow.