scholarly journals Magnetic Particle Imaging: Current and Future Applications, Magnetic Nanoparticle Synthesis Methods and Safety Measures

2021 ◽  
Vol 22 (14) ◽  
pp. 7651
Author(s):  
Caroline Billings ◽  
Mitchell Langley ◽  
Gavin Warrington ◽  
Farzin Mashali ◽  
Jacqueline Anne Johnson
Keyword(s):  
Magnetic Particle ◽  
Tumor Imaging ◽  
Imaging Modality ◽  
Nanoparticle Synthesis ◽  
Superparamagnetic Iron Oxide ◽  
Synthesis Methods ◽  
Iron Oxide Particles ◽  
Magnetic Particle Imaging ◽  
Wide Range ◽  
Particle Imaging

Magnetic nanoparticles (MNPs) have a wide range of applications; an area of particular interest is magnetic particle imaging (MPI). MPI is an imaging modality that utilizes superparamagnetic iron oxide particles (SPIONs) as tracer particles to produce highly sensitive and specific images in a broad range of applications, including cardiovascular, neuroimaging, tumor imaging, magnetic hyperthermia and cellular tracking. While there are hurdles to overcome, including accessibility of products, and an understanding of safety and toxicity profiles, MPI has the potential to revolutionize research and clinical biomedical imaging. This review will explore a brief history of MPI, MNP synthesis methods, current and future applications, and safety concerns associated with this newly emerging imaging modality.

scholarly journals Development of Magnetic Particle Imaging (MPI) for Cell Tracking and Detection

2020 ◽  
Author(s):  
Kierstin P Melo ◽  
Ashley V Makela ◽  
Natasha N Knier ◽  
Amanda M Hamilton ◽  
Paula J Foster
Keyword(s):  
Iron Content ◽  
Cell Tracking ◽  
Magnetic Particle ◽  
Ex Vivo ◽  
Imaging Modality ◽  
Superparamagnetic Iron Oxide ◽  
Cell Injection ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

AbstractIntroductionMagnetic particle imaging (MPI) is a new imaging modality that sensitively and specifically detects superparamagnetic iron oxide nanoparticles (SPIONs) within a sample. SPION-based MRI cell tracking has very high sensitivity, but low specificity and quantification of iron labeled cells is difficult. MPI cell tracking could overcome these challenges.MethodsMDM-AB-231BR cells labeled with MPIO, mice were intracardially injected with either 2.5 × 105 or 5.0 × 105 cells. MRI was performed in vivo the same day at 3T using a bSSFP sequence. After mice were imaged ex vivo with MPI. In a second experiment Mice received an intracardiac injection of either 2.5 × 10 5 or 5 × 10 4 MPIO-labeled 231BR cells. In a third experiment, mice were injected with 5 × 10 4 4T1BR cells, labelled with either MPIO or the SPION Vivotrax. MRI and MPI was performed in vivo.ResultsSignal from MPI and signal voids from MRI both showed more iron content in mice receiving an injection of 5.0 × 105 cells than the 2.5 × 105 injection. In the second experiment, Day 0 MRI showed signal voids and MPI signal was detected in all mouse brains. The MPI signal and iron content measured in the brains of mice that were injected with 2.5 × 10 5 cells were approximately four times greater than in brains injected with 5 × 10 4 cells. In the third experiment, in vivo MRI was able to detect signal voids in the brains of mice injected with Vivotrax and MPIO, although voids were fainter in Vivotrax labeled cells. In vivo MPI signal was only detectable in mice injected with MPIO-labeled cells.ConclusionThis is the first example of the use of MPIO for cell tracking with MPI. With an intracardiac cell injection, approximately 15% of the injected cells are expected to arrest in the brain vasculature. For our lowest cell injection of 5.0 × 104 cells this is ∼10000 cells.

scholarly journals A Perspective on Cell Tracking with Magnetic Particle Imaging

2020 ◽  
Author(s):  
Olivia C. Sehl ◽  
Julia J. Gevaert ◽  
Kierstin P. Melo ◽  
Natasha N. Knier ◽  
Paula J. Foster
Keyword(s):  
Cell Tracking ◽  
Magnetic Particle ◽  
Tissue Concentration ◽  
Imaging Modality ◽  
Negative Contrast ◽  
Superparamagnetic Iron Oxide ◽  
High Specificity ◽  
Cell Number ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

Magnetic Particle Imaging (MPI) is a new imaging modality that sensitively and specifically detects superparamagnetic iron oxide nanoparticles (SPIONs). Many labs have been developing cellular magnetic resonance imaging (MRI) tools using both SPIONs and fluorine-19 (19F)-based contrast agents for numerous important applications, including tracking of immune and stem cells used for cellular therapies. SPION-based MRI cell tracking has very high sensitivity, but low specificity. SPIONs produce negative contrast in MRI, or signal voids. SPIO is not directly detected by MRI, but indirectly through its relaxation effects on protons, therefore, it is not possible to reliably quantify the local tissue concentration of SPION particles and cell number cannot be determined. 19F based cell tracking uses perfluorocarbons (PFC) to label cells. The number of 19F atoms can be directly measured from 19F MR images and related to cell number. 19F MRI has high specificity, but low sensitivity. MPI cell tracking displays great potential for overcoming the challenges of MRI-based cell tracking allowing for both high cellular sensitivity and high specificity and quantification of SPIO labeled cell number. In this paper we describe nanoparticle and MPI system factors that influence MPI sensitivity and resolution, quantification methods and give our perspective on testing and applying MPI for cell tracking.

scholarly journals Magnetic particle imaging: tracer development and the biomedical applications of a radiation-free, sensitive, and quantitative imaging modality

Nanoscale ◽  
2022 ◽  
Author(s):  
Stanley Harvell-Smith ◽  
Le Duc Tung ◽  
Nguyen Thi Kim Thanh
Keyword(s):  
Biomedical Applications ◽  
Magnetic Particle ◽  
Imaging Modality ◽  
Quantitative Imaging ◽  
Three Dimensional ◽  
Superparamagnetic Iron Oxide ◽  
Oxide Nanoparticles ◽  
Magnetic Particle Imaging ◽  
Particle Imaging ◽  
Tracer Development

Magnetic particle imaging (MPI) is an emerging tracer-based modality that enables real-time three-dimensional imaging of the non-linear magnetisation produced by superparamagnetic iron oxide nanoparticles (SPIONs), in the presence of an...

scholarly journals The Reconstruction of Magnetic Particle Imaging: Current Approaches Based on the System Matrix

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 773
Author(s):  
Xiaojun Chen ◽  
Zhenqi Jiang ◽  
Xiao Han ◽  
Xiaolin Wang ◽  
Xiaoying Tang
Keyword(s):  
Magnetic Particle ◽  
Clinical Medicine ◽  
Practical Importance ◽  
Superparamagnetic Iron Oxide ◽  
Matrix Transformations ◽  
System Matrix ◽  
Magnetic Particle Imaging ◽  
Reconstruction Methods ◽  
Spatial Coverage ◽  
Particle Imaging

Magnetic particle imaging (MPI) is a novel non-invasive molecular imaging technology that images the distribution of superparamagnetic iron oxide nanoparticles (SPIONs). It is not affected by imaging depth, with high sensitivity, high resolution, and no radiation. The MPI reconstruction with high precision and high quality is of enormous practical importance, and many studies have been conducted to improve the reconstruction accuracy and quality. MPI reconstruction based on the system matrix (SM) is an important part of MPI reconstruction. In this review, the principle of MPI, current construction methods of SM and the theory of SM-based MPI are discussed. For SM-based approaches, MPI reconstruction mainly has the following problems: the reconstruction problem is an inverse and ill-posed problem, the complex background signals seriously affect the reconstruction results, the field of view cannot cover the entire object, and the available 3D datasets are of relatively large volume. In this review, we compared and grouped different studies on the above issues, including SM-based MPI reconstruction based on the state-of-the-art Tikhonov regularization, SM-based MPI reconstruction based on the improved methods, SM-based MPI reconstruction methods to subtract the background signal, SM-based MPI reconstruction approaches to expand the spatial coverage, and matrix transformations to accelerate SM-based MPI reconstruction. In addition, the current phantoms and performance indicators used for SM-based reconstruction are listed. Finally, certain research suggestions for MPI reconstruction are proposed, expecting that this review will provide a certain reference for researchers in MPI reconstruction and will promote the future applications of MPI in clinical medicine.

scholarly journals Magnetic particle imaging of particle dynamics in complex matrix systems

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Sebastian Draack ◽  
Meinhard Schilling ◽  
Thilo Viereck
Keyword(s):  
Magnetic Particle ◽  
Imaging Modality ◽  
Three Dimensional ◽  
Local Environment ◽  
Relaxation Mechanism ◽  
Harmonic Spectrum ◽  
Magnetic Particle Imaging ◽  
Matrix Interactions ◽  
Tracer Distribution ◽  
Particle Imaging

Abstract Magnetic particle imaging (MPI) is a young imaging modality for biomedical applications. It uses magnetic nanoparticles as a tracer material to produce three-dimensional images of the spatial tracer distribution in the field-of-view. Since the tracer magnetization dynamics are tied to the hydrodynamic mobility via the Brownian relaxation mechanism, MPI is also capable of mapping the local environment during the imaging process. Since the influence of viscosity or temperature on the harmonic spectrum is very complicated, we used magnetic particle spectroscopy (MPS) as an integral measurement technique to investigate the relationships. We studied MPS spectra as function of both viscosity and temperature on model particle systems. With multispectral MPS, we also developed an empirical tool for treating more complex scenarios via a calibration approach. We demonstrate that MPS/MPI are powerful methods for studying particle-matrix interactions in complex media.

scholarly journals Introducing a frequency-tunable magnetic particle spectrometer

2015 ◽  
Vol 1 (1) ◽  
pp. 249-253 ◽  
Author(s):  
André Behrends ◽  
Matthias Graeser ◽  
Thorsten M. Buzug
Keyword(s):  
Magnetic Nanoparticles ◽  
Image Quality ◽  
Magnetic Particle ◽  
Imaging Modality ◽  
Magnetic Particle Imaging ◽  
Common Technique ◽  
Frequency Tunable ◽  
Excitation Frequencies ◽  
Particle Imaging

AbstractImage quality in the new imaging modality magnetic particle imaging (MPI) heavily relies on the quality of the magnetic nanoparticles in use. Therefore, it is crucial to understand the behaviour of such particles. A common technique to analyze the behaviour of the particles is magnetic particle spectrometry (MPS). However, most spectrometers are limited to measurements at a single or multiple discrete excitation frequencies. This paper introduces a frequency-tunable spectrometer, able to perform measurements in the range of 100 Hz - 24kHz.

scholarly journals Intracellular dynamics of superparamagnetic iron oxide nanoparticles for magnetic particle imaging

Nanoscale ◽  
2019 ◽  
Vol 11 (16) ◽  
pp. 7771-7780 ◽  
Author(s):  
Eric Teeman ◽  
Carolyn Shasha ◽  
James E. Evans ◽  
Kannan M. Krishnan
Keyword(s):  
Iron Oxide ◽  
Iron Oxide Nanoparticles ◽  
Environmental Conditions ◽  
Magnetic Particle ◽  
Superparamagnetic Iron Oxide ◽  
Superparamagnetic Iron Oxide Nanoparticles ◽  
Oxide Nanoparticles ◽  
Magnetic Response ◽  
Magnetic Particle Imaging ◽  
Particle Imaging

An examination of the effects of intracellular environmental conditions on the dynamic magnetic response of superparamagnetic iron oxide nanoparticles.

scholarly journals Sequences for real-time magnetic particle imaging

2015 ◽  
Vol 1 (1) ◽  
pp. 353-355
Author(s):  
Matthias Weber ◽  
Klaas Bente ◽  
Anselm von Gladiss ◽  
Matthias Graeser ◽  
Thorsten M. Buzug
Keyword(s):  
Real Time ◽  
Magnetic Particle ◽  
Imaging Modality ◽  
Complex Field ◽  
Encoding Scheme ◽  
Imaging Capability ◽  
Magnetic Particle Imaging ◽  
Temporal And Spatial ◽  
Particle Imaging ◽  
Higher Sensitivity

AbstractMagnetic Particle Imaging (MPI) is a new imaging modality with the potential to be a new medical tool for angiographic diagnostics. It is capable of visualizing the spatial distribution of super-paramagnetic nanoparticles in high temporal and spatial resolution. Furthermore, the new spatial encoding scheme of a field free line (FFL) promises a ten-fold higher sensitivity. So far, all know imaging devices featuring this new technique feature slow data acquisition and thus, are far away from real-time imaging capability. An actual real-time approach requires a complex field generator and an application of currents with very precise amplitude and phase. Here, we present the first implementation and calibration of a dynamic FFL field sequence enabling the acquisition of 50 MPI images per second in a mouse sized scanner.

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