Selective Actuation and Tomographic Imaging of Swarming Magnetite Nanoparticles

Bente, Klaas; Bakenecker, Anna C.; Gladiss, Anselm von; Bachmann, Felix; Cēbers, A.; Buzug, Thorsten M.; Faivre, Damien

doi:10.1021/acsanm.1c00768

Cited by 18 publications

(15 citation statements)

References 46 publications

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“…Magnetic particle imaging (MPI) has emerged as a novel tomographic technique − with widespread prospective applications in biomedicine, − both as a standalone method of diagnostic imaging − and as an auxiliary diagnostic tool associated with specific therapies of precision medicine. − …”

Section: Introductionmentioning

confidence: 93%

Magnetic Nanoparticle Imaging: Insight on the Effects of Magnetic Interactions and Hysteresis of Tracers

Barrera

Allia

2022

ACS Appl. Nano Mater.

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The dynamic properties of magnetite nanoparticles are investigated by rate equations with the aim of clarifying the factors affecting their performance as tracers in magnetic particle imaging (MPI). It is shown that size-dependent effects such as magnetic hysteresis and dipole–dipole interaction may have a great impact on the behavior of MPI tracers. Usually, magnetic imaging exploits the higher-order harmonics of the magnetization waveform without considering either intraparticle hysteresis or interparticle interactions. These assumptions may result in an incorrect estimate (either by excess or by defect) of the nanoparticle concentration, which is the ultimate aim of MPI. The mismatch between real and estimated values is apparent for concentrations typical of some therapeutic applications of magnetic nanoparticles or reached by effect of particle accumulation in organs because of slow clearance processes. We show that this difficulty can be removed by measuring not only the magnitude of the third harmonic of the signal but also the phase shift with respect to the driving field. The proposed technique of signal adjustment makes use of the settings of present-day MPI operating devices. The validity of the adjustment procedure is checked by a proof of concept using nonuniform nanoparticle concentrations.

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Section: Introductionmentioning

confidence: 93%

Magnetic Nanoparticle Imaging: Insight on the Effects of Magnetic Interactions and Hysteresis of Tracers

Barrera

Allia

2022

ACS Appl. Nano Mater.

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“…K. Bente et al presented a selective actuation scheme for millimeter‐scale active magnetic matter clouds. [ 84 ] The 3D model for the clouds was reconstructed using MPI. Bakenecker's group achieved magnetic actuation and imaging for the navigation of a magnetic microrobot in a human cerebral aneurysm phantom via an MPI scanner.…”

Section: Open‐loop Control Of Microrobotsmentioning

confidence: 99%

Control and Autonomy of Microrobots: Recent Progress and Perspective

Jiang

Yang

Ferreira

et al. 2022

Advanced Intelligent Systems

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After decades of development, microrobots have exhibited great application potential in the biomedical field, such as minimally invasive surgery, drug delivery, and bio‐sensing. Compared with conventional medical robotic systems, microrobots may be capable of reaching more narrow and vulnerable regions in the human body with minimal damage. However, limited by the small scale of microrobots, microprocessors, power supplies, and sensors can hardly be integrated on‐board. Thus, new strategies for the actuation and feedback for microrobots need to be explored. Furthermore, the open‐loop control method accomplished by operators may lack accuracy, and long‐duration operation could bring a severe physical challenge in many applications. Consequently, the automatic control of microrobots with the aid of control theories is developed to improve the control efficiency and precision. To further promote the automation level of microrobots, machine learning algorithms are expected to provide a solution to let microrobots adapt to more dynamic environments and undertake more complex medical tasks. Herein, a systematic introduction of the manipulation of microrobots from open‐loop to closed‐loop control is given in this review. It is envisioned that microrobots will play an important role in future biomedical applications.

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“…133 Its ability to localize and control swarms also reduces the complexity of the previously mentioned image modalities. 134 Finally, one common aspect among the imaging methods mentioned is the high concentration of actuators needed to improve contrast for localization. As a result, control strategies directed at manipulating swarms of magnetic bio-hybrid actuators will also need to be considered for the targeted applications.…”

Section: Current Challenges and Outlookmentioning

confidence: 99%