Pulsed MPI Relaxometry of Brownian and Néel Field‐Dependent Relaxation in Superparamagnetic Magnetite Nanoparticles Confirm Theory and Simulations

Author:

Saayujya Chinmoy1ORCID,Yousuf Khadija2,Hao Yiyan3,Hartley Allison2,Yeo Kim Hwang2,Swamynathan Arvind2,Garlepp Justin2,Huynh Quincy1,Tay Zhi Wei4,Chandrasekharan Prashant2,Fellows Benjamin5,Rodrigo Irati26,Conolly Steven M.12

Affiliation:

1. Department of Electrical Engineering and Computer Sciences University of California Berkeley 94720 CA USA

2. Department of Bioengineering University of California Berkeley 94720 California USA

3. College of Computing Data Science, and Society University of California Berkeley 94720 CA USA

4. Health and Medical Research Institute National Institute of Advanced Industrial Science and Technology Tsukuba 305‐8564 Ibaraki Japan

5. Magnetic Insight, Inc. Alameda 94502 CA USA

6. Department of Applied Physics Universidad del País Vasco (UPV/EHU) Leioa 48940 Bizkaia Spain

Abstract

AbstractSuperparamagnetic iron oxide nanoparticles (SPIOs) are used as tracers in Magnetic Particle Imaging (MPI). It is crucial to understand the magnetic properties of SPIOs for optimizing MPI imaging contrast, resolution, and sensitivity. Brownian and Néel relaxation theory developed in the early 1950s posits that relaxation times can vary with particle size, shell thickness, medium viscosity, and the applied field strength. Magnetic relaxation can soon provide a unique imaging capability, the ability to distinguish bound from unbound MPI tracers in vivo. Yet experimental validation of these theories has not been completed. In this paper, a novel method of pulsed magnetic field relaxometry is used to directly probe the relaxation behavior of superparamagnetic magnetite nanoparticles over a spectrum of magnetic field amplitudes, providing the first experimental validation of theoretical relaxation models. It is also shown that closed‐form approximations generated in the early 1970s accurately match both data and numerical Fokker Planck computational models, which are computationally burdensome. This means researchers can trust these approximations for future modeling. All the findings can be translated to sinusoidal excitations used in conventional MPI scanning trajectories.

Funder

Foundation for the National Institutes of Health

Barbara and Gerson Bakar Foundation

National Science Foundation Graduate Research Fellowship Program

University of California Berkeley

Publisher

Wiley

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