Abstract
Current simulations of the signal in magnetic particle imaging (MPI) are either based on the Langevin function or on directly measuring the system function. The former completely ignores the influence of finite relaxation times of magnetic particles, and the latter requires time-consuming reference scans with an existing MPI scanner. Therefore, the resulting system function only applies for a given tracer type and the properties of the applied scanning trajectory. It requires separate reference scans for different trajectories and does not allow simulating theoretical magnetic particle suspensions. The most accessible and accurate way for including relaxation effects in the signal simulation would be using the Langevin equation. However, this is a very time-consuming approach because it calculates the stochastic dynamics of the individual particles and averages over large particle ensembles. In the current article, a numerically efficient way for approximating the averaged Langevin equation is proposed, which is much faster than the approach based on the Langevin equation because it is directly calculating the averaged time evolution of the magnetization. The proposed simulation yields promising results. Except for the case of small orthogonal offset fields, a high agreement with the full but significantly slower simulation could be shown.
References
[1] Brown WB. Thermal fluctuations of a single-domain particle. Phys Rev 1963; 130: 1677–1686.10.1103/PhysRev.130.1677Search in Google Scholar
[2] Chikazumi S, Charap SH. Physics of magnetism. New York: Wiley 1964.Search in Google Scholar
[3] Coffey WT, Kalmykov YP, Waldron JT. The Langevin equation. 2nd ed. Singapore: World Scientific 2004.10.1142/5343Search in Google Scholar
[4] Croft LR, Goodwill PW, Conolly SM. Relaxation in x-space magnetic particle imaging. IEEE Trans Med Imaging 2012; 28: 2335–2342.10.1109/TMI.2012.2217979Search in Google Scholar PubMed PubMed Central
[5] Evensen TR, Naess SN, Elgsaeter A. Free rotational diffusion of rigid particles with arbitrary surface topography: a Brownian dynamics study using Eulerian angles. Macromol Theory Simul 2008; 17: 121–129.10.1002/mats.200700059Search in Google Scholar
[6] Fannin PC, Charles SW. The study of a ferrofluid exhibiting both Brownian and Néel relaxation. J Phys D Appl Phys 1989; 22: 187–191.10.1088/0022-3727/22/1/027Search in Google Scholar
[7] Fannin PC, Charles SW. Measurement of the Neel relaxation of magnetic particles in the frequency-range 1 kHz to 160 MHz. J Phys D Appl Phys 1991; 24: 76–77.10.1088/0022-3727/24/1/013Search in Google Scholar
[8] Ferguson RM, Minard KR, Krishnan KM. Optimization of nanoparticle core size for magnetic particle imaging. J Magn Magn Mater 2009; 321: 1548–1551.10.1016/j.jmmm.2009.02.083Search in Google Scholar PubMed PubMed Central
[9] Gleich B, Weizenecker J. Tomographic imaging using the nonlinear response of magnetic particles. Nature 2005; 435: 1214–1217.10.1038/nature03808Search in Google Scholar PubMed
[10] Goodwill PW, Conolly SM. The X-space formulation of the magnetic particle imaging process: 1-D signal, resolution, bandwidth, SNR, SAR, and magnetostimulation. IEEE Trans Med Imaging 2010; 29: 1851–1859.10.1109/TMI.2010.2052284Search in Google Scholar PubMed
[11] Goodwill PW, Conolly SM. Multidimensional X-space magnetic particle imaging. IEEE Trans Med Imaging 2011; 30: 1581–1590.10.1109/TMI.2011.2125982Search in Google Scholar PubMed PubMed Central
[12] Goodwill PW, Scott GC, Stang PP, Conolly SM. Narrowband magnetic particle imaging. IEEE Trans Med Imaging 2009; 28: 1231–1237.10.1109/TMI.2009.2013849Search in Google Scholar PubMed
[13] Goodwill PW, Tamrazian A, Croft LR, et al. Ferrohydrodynamic relaxometry for magnetic particle imaging. Appl Phys Lett 2011; 98: 262502.10.1063/1.3604009Search in Google Scholar
[14] Hendrick RE, Haacke EM. Basic physics of MR contrast agents and maximization of image-contrast. J Magn Reson Imaging 1993; 3: 137–148.10.1002/jmri.1880030126Search in Google Scholar PubMed
[15] Hergt R, Dutz S, Zeisberger M. Validity limits of the Néel relaxation model of magnetic nanoparticles for hyperthermia. Nanotech 2010; 21: 015706.10.1088/0957-4484/21/1/015706Search in Google Scholar PubMed
[16] Hoult DI, Richards RE. The signal-to-noise ratio of the nuclear magnetic resonance experiment. J Magn Reson 1976; 24: 71–85.Search in Google Scholar
[17] Knopp T, Biederer S, Sattel TF. Trajectory analysis for magnetic particle imaging. Phys Med Biol 2009; 54: 385–397.10.1088/0031-9155/54/2/014Search in Google Scholar PubMed
[18] Knopp T, Biederer S, Sattel TF, et al. 2d model-based reconstruction for magnetic particle imaging. Med Phys 2010; 37: 485–491.10.1118/1.3271258Search in Google Scholar PubMed
[19] Knopp T, Sattel TF, Biederer S, et al. Model-based reconstruction for magnetic particle imaging. IEEE Trans Med Imaging 2010; 29: 12–18.10.1109/TMI.2009.2021612Search in Google Scholar PubMed
[20] Rahmer J, Weizenecker J, Gleich B, Borgert J. Signal encoding in magnetic particle imaging: properties of the system function. BMC Med Imaging 2009; 9: 1–21.10.1186/1471-2342-9-4Search in Google Scholar PubMed PubMed Central
[21] Rauwerdink AM, Weaver JB. Harmonic phase angle as a concentration-independent measure of nanoparticle dynamics. Appl Phys Lett 2010; 39: 2587–2592.Search in Google Scholar
[22] Rauwerdink AM, Giustini AJ, Weaver JB. Simultaneous quantification of multiple magnetic nanoparticles. Nanotechnology 2010: 21: 455101.10.1088/0957-4484/21/45/455101Search in Google Scholar PubMed PubMed Central
[23] Reeves DB, Weaver JB. Simulations of magnetic nanoparticle Brownian motion. J Appl Phys 2012; 112: 124311.10.1063/1.4770322Search in Google Scholar PubMed PubMed Central
[24] Reeves D, Brown S, Fiering S, Weaver J. Toward in vivo magnetic spectroscopy of Brownian motion. Med Phys 2012; 39: 3643.10.1118/1.4734798Search in Google Scholar PubMed
[25] Risken H. The Fokker-Planck equation: methods of solution and applications. 2nd ed. Berlin: Springer 1986.Search in Google Scholar
[26] Schmale I, Rahmer J, Gleich B, Borgert J, Weizenecker J. Point spread function analysis of magnetic particles. In: Buzug TM, Borgert J, editors. Magnetic particle imaging. Springer Proceedings in Physics 140. Berlin: Springer 2012: 287–292.10.1007/978-3-642-24133-8_46Search in Google Scholar
[27] Schomberg H. Magnetic particle imaging: model and reconstruction. 2010 IEEE International Symposium on Biomedical Imaging: from nano to macro 2010: 992–995.10.1109/ISBI.2010.5490155Search in Google Scholar
[28] Weaver J, Kuehlert E. Measurement of magnetic nanoparticle relaxation time. Med Phys 2012; 39: 2765–2770.10.1118/1.3701775Search in Google Scholar PubMed PubMed Central
[29] Weaver J, Zhang X, Toraya-Brown S, Reeves D, Perreard I, Fiering S. Magnetic nanoparticle quantitation compensating for relaxation effects. Med Phys 2012; 39: 3927.10.1118/1.4736030Search in Google Scholar
[30] Weizenecker J, Borgert J, Gleich B. A simulation study on the resolution and sensitivity of magnetic particle imaging. Phys Med Biol 2007; 52: 6363–6374.10.1088/0031-9155/52/21/001Search in Google Scholar PubMed
[31] Weizenecker J, Gleich B, Rahmer J, et al. Micro-magnetic simulation study on the magnetic particle imaging performance of anisotropic mono-domain particles. Phys Med Biol 2012; 57: 7317–7327.10.1088/0031-9155/57/22/7317Search in Google Scholar PubMed
[32] Yoshida T, Enpuku K. Simulation and quantitative clarification of AC susceptibility of magnetic fluid in nonlinear Brownian relaxation region. Jpn J Appl Phys 2009; 48: 127002.10.1143/JJAP.48.127002Search in Google Scholar
©2013 by Walter de Gruyter Berlin Boston
Articles in the same Issue
- Masthead
- Masthead
- Editorial
- Magnetic Particle Imaging – from particle science to imaging technology
- Tailoring the magnetic and pharmacokinetic properties of iron oxide magnetic particle imaging tracers
- Synthetic routes to magnetic nanoparticles for MPI
- Red blood cells as carriers in magnetic particle imaging
- Comparison of commercial iron oxide-based MRI contrast agents with synthesized high-performance MPI tracers
- Characterization of magnetic nanoparticle systems with respect to their magnetic particle imaging performance
- Magnetic spectroscopy of nanoparticle Brownian motion measurement of microenvironment matrix rigidity
- Perspectives on clinical magnetic particle imaging
- Magnetic particle imaging scanner with 10-kHz drive-field frequency
- Twenty-fold acceleration of 3D projection reconstruction MPI
- Improved field free line magnetic particle imaging using saddle coils
- On the formulation of the image reconstruction problem in magnetic particle imaging
- Numerically efficient estimation of relaxation effects in magnetic particle imaging
- Simulation of the magnetization dynamics of diluted ferrofluids in medical applications
- Safety considerations for magnetic fields of 10 mT to 100 mT amplitude in the frequency range of 10 kHz to 100 kHz for magnetic particle imaging
Articles in the same Issue
- Masthead
- Masthead
- Editorial
- Magnetic Particle Imaging – from particle science to imaging technology
- Tailoring the magnetic and pharmacokinetic properties of iron oxide magnetic particle imaging tracers
- Synthetic routes to magnetic nanoparticles for MPI
- Red blood cells as carriers in magnetic particle imaging
- Comparison of commercial iron oxide-based MRI contrast agents with synthesized high-performance MPI tracers
- Characterization of magnetic nanoparticle systems with respect to their magnetic particle imaging performance
- Magnetic spectroscopy of nanoparticle Brownian motion measurement of microenvironment matrix rigidity
- Perspectives on clinical magnetic particle imaging
- Magnetic particle imaging scanner with 10-kHz drive-field frequency
- Twenty-fold acceleration of 3D projection reconstruction MPI
- Improved field free line magnetic particle imaging using saddle coils
- On the formulation of the image reconstruction problem in magnetic particle imaging
- Numerically efficient estimation of relaxation effects in magnetic particle imaging
- Simulation of the magnetization dynamics of diluted ferrofluids in medical applications
- Safety considerations for magnetic fields of 10 mT to 100 mT amplitude in the frequency range of 10 kHz to 100 kHz for magnetic particle imaging