Analysis of the navigation of magnetic microrobots through cerebral bifurcations

TL;DR

This study uses numerical simulations to analyze magnetic microrobot navigation through cerebral bifurcations, providing predictive tools for optimizing magnetic control in medical applications like targeted stroke treatment.

Contribution

The paper introduces validated simulation models and predictive equations for magnetic microrobot navigation in cerebral blood vessels, aiding design and operation of medical microrobots.

Findings

Validated simulation model against experimental data

Generated magnetic gradient maps for different scenarios

Provided predictive equations for magnetic navigation

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.