Patient-Specific Cerebral Vessel Hemodynamic Simulation
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Solution Overview
Problem
Current computational mechanics-based techniques for hemodynamic analysis of cerebral vessels are not suitable for individual patient analysis due to their reliance on simplified anatomical models or population-wide assumptions, lacking accurate vessel wall thickness information which is crucial for biomechanical calculations.
Innovation Solution
A non-invasive patient-specific computational modeling and simulation method using coupled computational fluid dynamics (CFD) and computational solid mechanics (CSM) simulations, where accurate vessel geometry including wall thickness is extracted from 3D medical image data to simulate blood flow and vessel wall deformation, enabling patient-specific hemodynamic analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If simplified anatomical models or population-wide assumptions are used for hemodynamic analysis, then the analysis can be performed more easily and quickly, but the accuracy and patient-specific applicability of the results deteriorates
Solution Approach 1:
The patent performs preliminary segmentation of the vessel wall into inner and outer walls from medical images before hemodynamic analysis, extracting accurate patient-specific geometry including wall thickness in advance. This preliminary anatomical model preparation enables subsequent CFD simulations to use precise patient-specific parameters without sacrificing analysis speed.
Solution Approach 2:
The patent changes the geometric parameters by explicitly modeling vessel wall thickness as a distinct parameter derived from medical images, rather than using simplified assumptions. This parameter change allows the system to maintain both computational efficiency and high measurement precision for patient-specific analysis.
2Measurement precision
If accurate patient-specific anatomical models including vessel wall thickness are created, then the hemodynamic analysis precision improves, but the model complexity and computational requirements increase
Solution Approach 1:
The patent segments the vessel wall into distinct inner and outer wall surfaces from medical images, creating a simplified yet accurate geometric representation. This segmentation approach captures essential biomechanical parameters like wall thickness without requiring overly complex models, thus improving precision while managing model complexity.
Solution Approach 2:
The patent creates a digital copy of the patient's anatomical structure from medical images, extracting key geometric features including wall thickness. This digital copy serves as a simplified representation that retains essential biomechanical properties without the full complexity of the actual anatomical structure, enabling accurate analysis with reduced model complexity.
3Reliability
If coupled CFD and CSM simulations are performed using accurate anatomical models, then patient-specific hemodynamic parameters are obtained, but the computational time and resources required increase
Solution Approach 1:
The patent performs preliminary extraction of accurate patient-specific anatomical geometry including vessel wall thickness from medical images before initiating CFD simulations. This preliminary preparation of high-quality input data enables the coupled CFD-CSM simulations to converge faster and produce reliable patient-specific results without excessive computational time.
Solution Approach 2:
The patent applies local quality by focusing computational resources on accurately resolving the vessel wall region where biomechanical calculations are most critical. By using patient-specific wall thickness measurements in the CFD model, the system achieves high reliability for local hemodynamic parameters without requiring excessive refinement throughout the entire computational domain.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides accurate hemodynamic parameters for preoperative planning and decision support, allowing for non-invasive assessment and simulation of surgical procedures, enhancing the suitability of computational models for individual patient care.
Implementation Method 1
Blood flow in the cerebral vessel and deformation of the cerebral vessel wall are simulated using coupled computational fluid dynamics (CFD) and computational solid mechanics (CSM) simulations
Implementation Method 2
Blood flow in the cerebral vessel and deformation of the cerebral vessel wall are simulated using coupled computational fluid dynamics (CFD) and computational solid mechanics (CSM) simulations
Data Source
AI summary
A method and system for patient-specific computational modeling and simulation for coupled hemodynamic analysis of cerebral vessels is disclosed. An anatomical model of a cerebral vessel is extracted from 3D medical image data. The anatomical model of the cerebral vessel includes an inner wall and an outer wall of the cerebral vessel. Blood flow in the cerebral vessel and deformation of the cerebral vessel wall are simulated using coupled computational fluid dynamics (CFD) and computational solid mechanics (CSM) simulations based on the anatomical model of the cerebral vessel.