Mellal, Lyès and Belharet, Karim and Folio, David and Ferreira, Antoine


This paper presents an optimal design strategy for therapeutic magnetic micro carriers (TMMC) guided in real time by a magnetic resonance imaging (MRI) system. As aggregates of TMMC must be formed to carry the most amount of drug and magnetic actuation capability, different clustering agglomerations could be arranged. Nevertheless, its difficult to predict the hydrodynamic behavior of any arbitrary-shaped object due to the nonlinear hydrodynamic effects. Indeed, the drag effect is related not only to the properties of the bolus but also to its interaction with the fluid viscosity, the free-stream velocity and the container geometry. In this work, we propose a mathematical framework to optimize the TMMC aggregates to improve the steering efficiency in experimental endovascular conditions. The proposed analysis is carried out on various sizes and geometries of microcarrier: spherical, ellipsoid-like and chain-like of microsphere structures. We analyze the magnetophoretic behavior of such designs to exhibit the optimal configuration. Based on the optimal design of the boluses, experimental investigations were carried out in mm-sized fluidic artery phantoms to demonstrate the steerability of the magnetic bolus using a proof-of-concept setup. The experiments demonstrate the steerability of the magnetic bolus under different velocity, shear-stress and trajectory constraints with a laminar viscous fluidic environment. Preliminary experiments with a MRI system confirms the feasibility of the steering of these TMMCs in hepatic artery microchannel phantom.



  title = {Optimal Structure of Particles-based Superparamagnetic Microrobots: application to MRI guided targeted drug therapy},
  author = {Mellal, Lyès and Belharet, Karim and Folio, David and Ferreira, Antoine},
  year = {2015},
  doi = {10.1007/s11051-014-2733-3},
  eid = {64},
  issn = {1572-896X},
  month = jan,
  number = {2},
  pages = {64--82},
  volume = {17},
  hal = {01112036},
  journal = {Journal of Nanoparticle Research},
  keywords = {Targeted drug delivery, Magnetic steering, Superparamagnetic microrobot, Optimal design}