title: T2 relaxation induced by clusters of superparamagnetic nanoparticles: Monte Carlo simulations.
abstract: Clustering strongly affects the transverse (T2) relaxation induced by superparamagnetic nanoparticles in magnetic resonance experiments. In this study, we used Monte Carlo simulations to investigate systematically the relationship between T2 values and the geometric parameters of nanoparticle clusters. We computed relaxation as a function of particle size, number of particles per cluster, interparticle distance, and cluster shape (compact vs. linear). We found that compact clusters induced relaxation equivalent to similarly sized single particles. For small particles, the shape and density of clusters had a significant effect on T2. In contrast, for larger particles, T2 relaxation was relatively independent of cluster geometry until interparticle distances within a cluster exceeded ten times the particle diameter. Results from our simulations suggest principles for the design of nanoparticle aggregation-based sensors for MRI.
authors.affiliation: Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
authors.forename: Yuri
authors.initials: Y
authors.lastname: Matsumoto
authors.forename: Alan
authors.initials: A
authors.lastname: Jasanoff
mesh_terms: D016880:Anisotropy; D003287:Contrast Media / Q000737:chemistry*; D003911:Dextrans; D052203:Ferrosoferric Oxide; D007501:Iron / Q000737:chemistry*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D058185:Magnetite Nanoparticles; D009010:Monte Carlo Method; D053758:Nanoparticles / Q000737:chemistry*; D010087:Oxides / Q000737:chemistry*
chemical_list: D003287:Contrast Media; D003911:Dextrans; D058185:Magnetite Nanoparticles; D010087:Oxides; D007501:Iron; C065507:ferumoxides; D052203:Ferrosoferric Oxide