Personalized Brain Treatment Simulation via CFD
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Solution Overview
Problem
Current methods for treating brain aneurysms lack a reliable standard for predicting treatment outcomes, particularly for small and large aneurysms, leading to potential detrimental consequences such as rupture, recanalization, and prolonged radiation exposure, due to the variability in device deployment and interpretation of blood flow dynamics simulations.
Innovation Solution
A personalized framework for virtual medical device implantation and computational fluid dynamics (CFD) simulation, which creates 3D models of aneurysms from patient data to predict treatment outcomes accurately, avoiding unnecessary procedures and optimizing treatment planning by simulating blood flow and device deployment in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple trial and error FD implantations are performed during the procedure, then treatment optimization can be achieved, but radiation exposure and procedure time increase significantly
Solution Approach 1:
The system performs virtual implantation simulations before the actual procedure to determine optimal device placement and configuration. This preliminary computational action eliminates the need for multiple trial and error implantations during the procedure, thereby reducing radiation exposure and procedure time while maintaining treatment optimization.
2Reliability
If multiple trial and error FD implantations are performed during the procedure, then treatment optimization can be achieved, but radiation exposure increases
Solution Approach 1:
The system creates virtual copies of the patient's anatomy and devices through 3D modeling and computational simulations. These virtual replicas allow repeated testing of different implantation scenarios without exposing the actual patient to additional radiation, thus reducing radiation exposure while maintaining treatment optimization through virtual trial and error.
3Ease of operation
If FD implantation is performed before coiling, then treatment sequence is simplified, but aneurysm healing may be compromised
Solution Approach 1:
The system performs virtual simulations to determine the optimal treatment sequence before proceeding with actual intervention. By pre-calculating the outcomes of different sequencing approaches (FD before coiling vs. coiling before FD), the system identifies the sequence that maximizes aneurysm healing while maintaining procedural simplicity, thus resolving the contradiction between ease of operation and treatment reliability.
Data Source
AI summary
Systems and methods provide a novel approach for decision making and planning of neurovascular treatments and high-fidelity outcome prediction of every potential treatment. The invention, particularly, uses the clinical data of the patients for a personalized treatment planning and simulation in which a personalized anatomical model of the patient is constructed virtually, neurovascular device implantation may be done virtually and by simulation, a computational fluid dynamics (CFD) simulation is done, and finally by using some post-processing parameters, indices and principles a prediction is made regarding the outcome of each potential treatment. The system comprises one or more processors to receive patient-specific data regarding a geometry of an anatomical structure of the patient and to simulate deployments of different neurovascular devices and their corresponding hemodynamics in anatomical structure models and to generate a report for each potential deployment.