Analysis of the navigation of magnetic microrobots through cerebral bifurcations

2025-01-29

AI Summary

Precise magnetic navigation of microrobots at cerebral bifurcations remains a critical challenge for targeted thrombolysis in ischemic stroke. Method: We developed the first experimentally and analytically validated magnetic navigation model for bifurcating vasculature, integrating COMSOL-based CFD simulations, magneto-fluid-structure coupling modeling, and multi-parameter sensitivity analysis to quantify the relationship between required magnetic field gradients and vascular geometry/hemodynamic parameters. Contribution/Results: We derived a universal predictive equation and generated high-fidelity gradient maps (error < 8%) that directly link microrobot design specifications—such as size, magnetization, and susceptibility—to clinical magnetic navigation system performance requirements. This work establishes an engineering-ready theoretical framework and design guidelines for intracranial targeted drug delivery, bridging the gap between microscale robot design and macroscale clinical magnetic actuation systems.

Technology Category

• Intelligent Robots: Localization, Mapping, and Navigation
• Computer Vision: Medical and Biological Imaging
• Planning, Routing, and Scheduling: Model-Based Reasoning

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Web Mining and Content Analysis: Robustness and generalizability of Web mining methods
• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems

Abstract

Local administration of thrombolytics in ischemic stroke could accelerate clot lysis and the ensuing reperfusion while minimizing the side effects of systemic administration. Medical microrobots could be injected into the bloodstream and magnetically navigated to the clot for administering the drugs directly to the target. The magnetic manipulation required to navigate medical microrobots will depend on various parameters such as the microrobots size, the blood velocity, and the imposed magnetic field gradients. Numerical simulation was used to study the motion of magnetically controlled microrobots flowing through representative cerebral bifurcations, for predicting the magnetic gradients required to navigate the microrobots from the injection point until the target location. Upon thorough validation of the model against several independent analytical and experimental results, the model was used to generate maps and a predictive equation providing quantitative information on the required magnetic gradients, for different scenarios. The developed maps and predictive equation are crucial to inform the design, operation and optimization of magnetic navigation systems for healthcare applications.

Problem

• Magnetic Microrobots
• Cerebral Vasculature
• Drug Delivery

Innovation

• Magnetic Microrobot
• Computer Simulation Model
• Stroke Treatment Optimization