Langevin equation simulation of Brownian magnetic nanoparticles with experimental and model comparisons

Daniel B. Reeves; Jurgen Weizenecker; John B. Weaver

doi:10.1117/12.2008683

29 March 2013 Langevin equation simulation of Brownian magnetic nanoparticles with experimental and model comparisons

Daniel B. Reeves, Jurgen Weizenecker, John B. Weaver

Proceedings Volume 8672, Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging; 86721C (2013) https://doi.org/10.1117/12.2008683
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Nanoparticles have a long history of successful application to medical technologies. Many of these technologies also employ the magnetic properties of some particles. Thus, an increased understanding of the dynamic properties of magnetic particles in time-varying magnetic fields is essential for advancement in sensing, counting, imaging or therapeutic modalities. A stochastic Langevin equation approach to particle modeling has been documented previously, however this new study focuses on comparison of the model to other theoretical modeling approaches as well as current experimental techniques from magnetic nanoparticle spectroscopy. The results show that the model works for a larger bandwidth than many separate approximate methods, and that the harmonics of the magnetization found through simulation contain enough information to infer microenvironmental parameters, therefore justifying spectroscopic usage.

Citation Download Citation

Daniel B. Reeves, Jurgen Weizenecker, and John B. Weaver "Langevin equation simulation of Brownian magnetic nanoparticles with experimental and model comparisons", Proc. SPIE 8672, Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging, 86721C (29 March 2013); https://doi.org/10.1117/12.2008683

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available