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Artículos de revistas sobre el tema "Applied Physics, Magnetic Resonance Imaging, Magnetic Particle Imaging"

Autor: Grafiati
Publicado: 11 de marzo de 2023
Última modificación: 31 de julio de 2025

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1

Baki, Abdulkader, Amani Remmo, Norbert Löwa, Frank Wiekhorst, and Regina Bleul. "Albumin-Coated Single-Core Iron Oxide Nanoparticles for Enhanced Molecular Magnetic Imaging (MRI/MPI)." International Journal of Molecular Sciences 22, no. 12 (2021): 6235. http://dx.doi.org/10.3390/ijms22126235.

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Colloidal stability of magnetic iron oxide nanoparticles (MNP) in physiological environments is crucial for their (bio)medical application. MNP are potential contrast agents for different imaging modalities such as magnetic resonance imaging (MRI) and magnetic particle imaging (MPI). Applied as a hybrid method (MRI/MPI), these are valuable tools for molecular imaging. Continuously synthesized and in-situ stabilized single-core MNP were further modified by albumin coating. Synthesizing and coating of MNP were carried out in aqueous media without using any organic solvent in a simple procedure.
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2

Herrmann, Anne, Arthur Taylor, Patricia Murray, Harish Poptani, and Violaine Sée. "Magnetic Resonance Imaging for Characterization of a Chick Embryo Model of Cancer Cell Metastases." Molecular Imaging 17 (January 1, 2018): 153601211880958. http://dx.doi.org/10.1177/1536012118809585.

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Metastasis is the most common cause of death for patients with cancer. To fully understand the steps involved in metastatic dissemination, in vivo models are required, of which murine ones are the most common. Therefore, preclinical imaging methods such as magnetic resonance imaging (MRI) have mainly been developed for small mammals and their potential to monitor cancer growth and metastasis in nonmammalian models is not fully harnessed. We have here used MRI to measure primary neuroblastoma tumor size and metastasis in a chick embryo model. We compared its sensitivity and accuracy to end-poin
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3

Cenova, Iva, David Kauzlarić, Andreas Greiner, and Jan G. Korvink. "Constrained simulations of flow in haemodynamic devices: towards a computational assistance of magnetic resonance imaging measurements." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369, no. 1945 (2011): 2494–501. http://dx.doi.org/10.1098/rsta.2011.0028.

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Cardiovascular diseases, mostly related to atherosclerosis, are the major cause of death in industrial countries. It is observed that blood flow dynamics play an important role in the aetiology of atherosclerosis. Especially, the blood velocity distribution is an important indicator for predisposition regions. Today magnetic resonance imaging (MRI) delivers, in addition to the morphology of the cardiovascular system, blood flow patterns. However, the spatial resolution of the data is slightly less than 1 mm and owing to severe restrictions in magnetic field gradient switching frequencies and i
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4

TOUFIQ, ARBAB MOHAMMAD, FENGPING WANG, QURAT-UL-AIN JAVED, QUANSHUI LI, and YAN LI. "PHOTOLUMINESCENCE SPECTRA AND MAGNETIC PROPERTIES OF HYDROTHERMALLY SYNTHESIZED MnO2 NANORODS." Modern Physics Letters B 27, no. 29 (2013): 1350211. http://dx.doi.org/10.1142/s0217984913502114.

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In this paper, single crystalline tetragonal MnO 2 nanorods have been synthesized by a simple hydrothermal method using MnSO 4⋅ H 2 O and Na 2 S 2 O 8 as precursors. The crystalline phase, morphology, particle sizes and component of the as-prepared nanomaterial were characterized by employing X-ray diffraction (XRD), field-emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), high-resolution transmission electron microscopy (HRTEM), selected area electron diffraction (SAED) and energy-dispersive X-ray spectroscopy (EDS). The photoluminescence (PL) emission spec
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5

Ragam, Prashanth, and Devidas Sahebraoji Nimaje. "Evaluation and prediction of blast-induced peak particle velocity using artificial neural network: A case study." Noise & Vibration Worldwide 49, no. 3 (2018): 111–19. http://dx.doi.org/10.1177/0957456518763161.

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Over the past few decades, inducing of ground vibrations from blasting may cause severe damage to surrounding structures, plants, and human beings in the mining industry. Therefore, it is essential to monitor and predict the ambiguous vibration levels and take measures to reduce their hazardous effect. In this study, to evaluate and predict the ambiguous ground vibrations, an application of artificial neural network technique was used. A three-layer, feed-forward back-propagation multilayer perception neural network having six input parameters, the distance from blast face, maximum charge per
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6

Korsakova, Alina S., Dzmitry A. Kotsikau, Yulyan S. Haiduk, and Vladimir V. Pankov. "Synthesis and Physicochemical Properties of MnxFe3–xO4 Solid Solutions." Kondensirovannye sredy i mezhfaznye granitsy = Condensed Matter and Interphases 22, no. 4 (2020): 466–72. http://dx.doi.org/10.17308/kcmf.2020.22/3076.

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Ferrimagnetic nanoparticles are used in biotechnology (as drug carriers, biosensors, elements of diagnostic sets, contrast agents for magnetic resonance imaging), catalysis, electronics, and for the production of magnetic fluids and magnetorheological suspensions, etc. The use of magnetic nanoparticles requires enhanced magnetic characteristics, in particular, high saturation magnetisation.The aim of our study was to obtain single-phased magnetic nanoparticles of MnxFe3–xO4 solid solutions at room temperature. We also studied the dependence of the changes in their structure, morphology, and ma
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7

Paysen, Hendrik, Norbert Loewa, Karol Weber, et al. "Imaging and quantification of magnetic nanoparticles: Comparison of magnetic resonance imaging and magnetic particle imaging." Journal of Magnetism and Magnetic Materials 475 (April 2019): 382–88. http://dx.doi.org/10.1016/j.jmmm.2018.10.082.

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8

Wegner, Franz, Kerstin Lüdtke-Buzug, Sjef Cremers, et al. "Bimodal Interventional Instrument Markers for Magnetic Particle Imaging and Magnetic Resonance Imaging—A Proof-of-Concept Study." Nanomaterials 12, no. 10 (2022): 1758. http://dx.doi.org/10.3390/nano12101758.

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The purpose of this work was to develop instrument markers that are visible in both magnetic particle imaging (MPI) and magnetic resonance imaging (MRI). The instrument markers were based on two different magnetic nanoparticle types (synthesized in-house KLB and commercial Bayoxide E8706). Coatings containing one of both particle types were fabricated and measured with a magnetic particle spectrometer (MPS) to estimate their MPI performance. Coatings based on both particle types were then applied on a segment of a nonmetallic guidewire. Imaging experiments were conducted using a commercial, pr
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9

Gladden, Lynn F. "Applications of Nuclear Magnetic Resonance Imaging in Particle Technology." Particle & Particle Systems Characterization 12, no. 2 (1995): 59–67. http://dx.doi.org/10.1002/ppsc.19950120203.

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10

Kluth, Tobias. "Mathematical models for magnetic particle imaging." Inverse Problems 34, no. 8 (2018): 083001. http://dx.doi.org/10.1088/1361-6420/aac535.

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11

Epstein, Charles L. "Magnetic resonance imaging in inhomogeneous fields." Inverse Problems 20, no. 3 (2004): 753–80. http://dx.doi.org/10.1088/0266-5611/20/3/007.

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12

Garcia, Nissa C., Dindi Yu, Li Yao, and Shoujun Xu. "Optical atomic magnetometer at body temperature for magnetic particle imaging and nuclear magnetic resonance." Optics Letters 35, no. 5 (2010): 661. http://dx.doi.org/10.1364/ol.35.000661.

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13

Cirilli, Manuela. "From particle physics: To medtech and biomedical research." Europhysics News 49, no. 5-6 (2018): 35–38. http://dx.doi.org/10.1051/epn/2018507.

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Physics phenomena underpin many techniques and technologies that are used for both diagnosis and treatment of a variety of diseases. This is the case for radiotherapy, Magnetic Resonance Imaging (MRI), and Positron Emission Tomography (PET) that are based on our knowledge, respectively, of how particles interact with matter, of how atomic nuclei behave in oscillating magnetic fields, and of how positron decay.
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14

Puiseux, Thomas, Anou Sewonu, Ramiro Moreno, Simon Mendez, and Franck Nicoud. "Numerical simulation of time-resolved 3D phase-contrast magnetic resonance imaging." PLOS ONE 16, no. 3 (2021): e0248816. http://dx.doi.org/10.1371/journal.pone.0248816.

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A numerical approach is presented to efficiently simulate time-resolved 3D phase-contrast Magnetic resonance Imaging (or 4D Flow MRI) acquisitions under realistic flow conditions. The Navier-Stokes and Bloch equations are simultaneously solved with an Eulerian-Lagrangian formalism. A semi-analytic solution for the Bloch equations as well as a periodic particle seeding strategy are developed to reduce the computational cost. The velocity reconstruction pipeline is first validated by considering a Poiseuille flow configuration. The 4D Flow MRI simulation procedure is then applied to the flow wit
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15

Taylor, Annette F., and Melanie M. Britton. "Magnetic resonance imaging of chemical waves in porous media." Chaos: An Interdisciplinary Journal of Nonlinear Science 16, no. 3 (2006): 037103. http://dx.doi.org/10.1063/1.2228129.

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16

Dong, Guozhi, Michael Hintermüller, and Kostas Papafitsoros. "Quantitative Magnetic Resonance Imaging: From Fingerprinting to Integrated Physics-Based Models." SIAM Journal on Imaging Sciences 12, no. 2 (2019): 927–71. http://dx.doi.org/10.1137/18m1222211.

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17

Ivanov, V. A. "History and prospects of employing magnetic-resonance imaging." Journal of Optical Technology 67, no. 4 (2000): 399. http://dx.doi.org/10.1364/jot.67.000399.

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18

Meribout, Mahmoud, and Mohit Kalra. "A portable system for two dimensional magnetic particle imaging." Measurement 152 (February 2020): 107281. http://dx.doi.org/10.1016/j.measurement.2019.107281.

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19

Miller, Jack. "How a technique from particle physics could transform MRI." Physics World 36, no. 7 (2023): 26–31. http://dx.doi.org/10.1088/2058-7058/36/07/22.

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An experimental technique that started life in nuclear and particle physics is now being used to measure chemical reactions inside the human body and to help diagnose cancer and heart disease in almost 50 clinical trials. Jack Miller charts the unexpected rise of dynamic nuclear polarization, which is vastly improving the quality of magnetic resonance imaging.
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20

Bhalodiya, Jayendra M., Sarah N. Lim Choi Keung, and Theodoros N. Arvanitis. "Magnetic resonance image-based brain tumour segmentation methods: A systematic review." DIGITAL HEALTH 8 (January 2022): 205520762210741. http://dx.doi.org/10.1177/20552076221074122.

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Background Image segmentation is an essential step in the analysis and subsequent characterisation of brain tumours through magnetic resonance imaging. In the literature, segmentation methods are empowered by open-access magnetic resonance imaging datasets, such as the brain tumour segmentation dataset. Moreover, with the increased use of artificial intelligence methods in medical imaging, access to larger data repositories has become vital in method development. Purpose To determine what automated brain tumour segmentation techniques can medical imaging specialists and clinicians use to ident
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21

Abdikhoshimovich, Kholmatov Jasurbek, Askarov Osim Olimdjanovich, Hansie Pilania, and Kunal Vijay Kawale. "Applications of Physics in Diagnostic Imaging." European Journal of Medical Genetics and Clinical Biology 1, no. 1 (2023): 98–107. http://dx.doi.org/10.61796/jmgcb.v1i1.150.

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This article will explore the various ways in which physics is applied in diagnostic imaging, with a focus on X-ray, computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound. Diagnostic imaging has become a cornerstone of modern medicine, since the advent of radiography. Over the years, various diagnostic imaging techniques have been developed, each with its indications and contraindications. However, all diagnostic imaging techniques have one underlying commonality: they rely on the fundamental principles of physics. Consequentially, it becomes of further importance to know
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22

Garrido, Leoncio, and José Sampayo. "Proton Magnetic Resonance Imaging of Specimens in Simulated Microgravity." Microgravity Science and Technology 21, no. 4 (2009): 305–10. http://dx.doi.org/10.1007/s12217-009-9105-0.

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23

Duan, Wenjuan, Guifang Liu, Cheng Guo, and Yunhui Qu. "Preparation of Nano Materials Fe@Fe3O4 and Its Application in Magnetic Resonance Imaging for Liver Functions." Science of Advanced Materials 13, no. 5 (2021): 906–16. http://dx.doi.org/10.1166/sam.2021.3994.

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The strengths of magnetic resonance imaging (MRI) lied in the strong penetrability, high resolution, no radiation, and non-invasion, while the sensitivity of MRI was too weak to distinguish the normal physiological tissue and pathological tissue. The contrast agent (CAs) was used to enhance the contrast ration of normal tissue and pathological tissue, and raise the precision of the diagnosis. The Ferric oxide with higher magnetic moment has been extensively applied in T2-weighted MRI contrast agents. In the study, the oil soluble nano materials (Fe@Fe3O4) was prepared, and its surface was modi
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24

Stueber, Deanna D., Jake Villanova, Itzel Aponte, Zhen Xiao, and Vicki L. Colvin. "Magnetic Nanoparticles in Biology and Medicine: Past, Present, and Future Trends." Pharmaceutics 13, no. 7 (2021): 943. http://dx.doi.org/10.3390/pharmaceutics13070943.

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The use of magnetism in medicine has changed dramatically since its first application by the ancient Greeks in 624 BC. Now, by leveraging magnetic nanoparticles, investigators have developed a range of modern applications that use external magnetic fields to manipulate biological systems. Drug delivery systems that incorporate these particles can target therapeutics to specific tissues without the need for biological or chemical cues. Once precisely located within an organism, magnetic nanoparticles can be heated by oscillating magnetic fields, which results in localized inductive heating that
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25

Hammernik, Kerstin, Thomas Kustner, Burhaneddin Yaman, et al. "Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging." IEEE Signal Processing Magazine 40, no. 1 (2023): 98–114. http://dx.doi.org/10.1109/msp.2022.3215288.

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26

Wróblewski, Przemysław, and Waldemar Smolik. "COIL DESIGN WITH LITZE WIRE FOR MAGNETIC PARTICLE SPECTROMETRY." Informatics Control Measurement in Economy and Environment Protection 7, no. 1 (2017): 0. http://dx.doi.org/10.5604/01.3001.0010.4605.

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The design of an excitation coil for magnetic particles spectrometer (MPS) was described. It was assumed that the spectrometer should measure the spectra of particles of diameter in the range 10-100 nm. To measure the amplitude and phase angle spectra of magnetic nanoparticles it is required to generate sinusoidal alternating spatially homogeneous magnetic field of magnitude of 20 mT. The work volume of the designed spectrometer was 202020 mm allowing measurement of small samples. The estimation of magnetic properties of magnetic nanoparticles is crucial in Magnetic Particles Imaging. In thi
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27

Chernoburova, Olga, Mathieu Jenny, Sébastien Kiesgen De Richter, Maude Ferrari, and Akira Otsuki. "Dynamic Behavior of Dilute Bentonite Suspensions under Different Chemical Conditions Studied via Magnetic Resonance Imaging Velocimetry." Colloids and Interfaces 2, no. 4 (2018): 41. http://dx.doi.org/10.3390/colloids2040041.

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This study investigates dilute aqueous suspensions of bentonite particles using magnetic resonance imaging (MRI) velocimetry. Four different chemical conditions are tested to investigate the influence of pH and type of monovalent electrolyte on the local rheological behavior of bentonite suspensions. The results indicate the shear banding in a dilute suspension of 0.1 vol.% solid due to the formation of a continuous three-dimensional particle network under a certain chemical environment (i.e., pH 4 in 1 × 10−2 M KNO3). This network is responsible for the existence of the yield stress in that d
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28

Taleb-Ahmed, Abdelmalik. "Method to segment the brain automatically applied to a magnetic resonance imaging sequence." Optical Engineering 42, no. 7 (2003): 1976. http://dx.doi.org/10.1117/1.1580832.

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29

Kimmich, Rainer. "Multidimensional NQR: Imaging and Exchange Spectroscopy." Zeitschrift für Naturforschung A 51, no. 5-6 (1996): 330–36. http://dx.doi.org/10.1515/zna-1996-5-604.

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Abstract In this context a ‘‘dimension’’ can be of a spatial or of a spectroscopic nature. In the last two decades, multidimensional nuclear magnetic resonance and imaging have proven to be most useful tools for the investigation of materials. It turned out that some of these measuring principles can be applied to zero-field NQR as well. The purpose of this presentation is to elucidate two-dimensional exchange spectroscopy and imaging procedures suitable for NQR and to outline potential applications.
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30

Wu, Zekun, Zhen Chai, Yunkai Mao, Hao Tian, and Zhanchao Liu. "High-resolution optical magnetic resonance imaging of electronic spin polarization in miniaturized atomic sensors." Applied Physics Letters 121, no. 20 (2022): 204103. http://dx.doi.org/10.1063/5.0106964.

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Miniaturized atomic sensors of magnetic field and inertia have great potential to be applied as geophysical instruments and in the detection of biomolecules. The distribution of the electronic spin polarization plays a key role as it defines the amount of noble gas that can achieve a state of hyperpolarization, which in turn determines the technique's accuracy and, consequently, its resolution. However, the current techniques for electronic spin polarization imaging are unsuited for the operating conditions of miniaturized atomic sensors besides only accomplishing submillimeter spatial resolut
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31

Bonnard, Bernard, Steffen J. Glaser, and Dominique Sugny. "A Review of Geometric Optimal Control for Quantum Systems in Nuclear Magnetic Resonance." Advances in Mathematical Physics 2012 (2012): 1–29. http://dx.doi.org/10.1155/2012/857493.

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We present a geometric framework to analyze optimal control problems of uncoupled spin 1/2 particles occurring in nuclear magnetic resonance. According to the Pontryagin's maximum principle, the optimal trajectories are solutions of a pseudo-Hamiltonian system. This computation is completed by sufficient optimality conditions based on the concept of conjugate points related to Lagrangian singularities. This approach is applied to analyze two relevant optimal control issues in NMR: the saturation control problem, that is, the problem of steering in minimum time a single spin 1/2 particle from t
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32

Jansons, Kalvis M., and Daniel C. Alexander. "Persistent angular structure: new insights from diffusion magnetic resonance imaging data." Inverse Problems 19, no. 5 (2003): 1031–46. http://dx.doi.org/10.1088/0266-5611/19/5/303.

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33

Wang, Qiuliang, Jianhua Liu, Jinxing Zheng, et al. "Progress of ultra-high-field superconducting magnets in China." Superconductor Science and Technology 35, no. 2 (2021): 023001. http://dx.doi.org/10.1088/1361-6668/ac3f9b.

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Abstract High magnetic fields play a critical role in the development of modern science and technology, breeding many significant scientific discoveries and boosting the generation of new technologies. In the last few years, China has undertaken a great deal of work on the application of ultra-high-field (UHF) superconducting magnet technology, such as for the Synergetic Extreme Condition User Facility in Beijing, the UHF nuclear magnetic resonance/magnetic resonance imaging, nuclear fusion energy, particle accelerator, and so on. This paper reports the research status of UHF superconducting m
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34

Luchetti, Alessandro, Davide Milani, Francesca Ruffini, et al. "Monoclonal Antibodies Conjugated with Superparamagnetic Iron Oxide Particles Allow Magnetic Resonance Imaging Detection of Lymphocytes in the Mouse Brain." Molecular Imaging 11, no. 2 (2012): 7290.2011.00032. http://dx.doi.org/10.2310/7290.2011.00032.

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We investigated the potential of antibody-vectorialized superparamagnetic iron oxide (SPIO) particles as cellular specific magnetic resonance contrast agents to image lymphocyte populations within the central nervous system (CNS), with the final goal of obtaining a reliable tool for noninvasively detecting and tracking specific cellular populations in vivo. We used superparamagnetic particles bound to a monoclonal antibody. The particle is the contrast agent, by means of its T2* relaxation properties; the antibody is the targeting vector, responsible for homing the particle to target a surface
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35

Senior, A., and F. Honary. "Observations of the spatial structure of electron precipitation pulsations using an imaging riometer." Annales Geophysicae 21, no. 4 (2003): 997–1003. http://dx.doi.org/10.5194/angeo-21-997-2003.

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Abstract. Electron precipitation can be modulated by geomagnetic pulsation activity. This can be observed as pulsation of cosmic noise absorption as measured by riometers. Observations of such pulsations exhibiting field-line resonance and particle-driven characteristics using an imaging riometer are presented and the capability of the instrument to map their spatial structure is demonstrated. It is shown that for the events studied, the spatial variation of pulsation phase as measured by the riometer agrees with that inferred from ground-based magnetometers, whereas the spatial variation of p
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36

Schier, Peter, Maik Liebl, Uwe Steinhoff, Michael Handler, Frank Wiekhorst, and Daniel Baumgarten. "Optimizing Excitation Coil Currents for Advanced Magnetorelaxometry Imaging." Journal of Mathematical Imaging and Vision 62, no. 2 (2019): 238–52. http://dx.doi.org/10.1007/s10851-019-00934-8.

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AbstractMagnetorelaxometry imaging is a highly sensitive technique enabling noninvasive, quantitative detection of magnetic nanoparticles. Electromagnetic coils are sequentially energized, aligning the nanoparticles’ magnetic moments. Relaxation signals are recorded after turning off the coils. The forward model describing this measurement process is reformulated into a severely ill-posed inverse problem that is solved for estimating the particle distribution. Typically, many activation sequences employing different magnetic fields are required to obtain reasonable imaging quality. We seek to
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37

Savukov, Igor, Young Jin Kim, and Shaun Newman. "High-resolution ultra-low field magnetic resonance imaging with a high-sensitivity sensing coil." Journal of Applied Physics 132, no. 17 (2022): 174503. http://dx.doi.org/10.1063/5.0123692.

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We present high-resolution magnetic resonance imaging (MRI) at ultra-low field (ULF) with a proton Larmor frequency of around 120 kHz. The key element is a specially designed high-sensitivity sensing coil in the shape of a solenoid with a few millimeter gap between windings to decrease the proximity effect and, hence, increase the coil’s quality ([Formula: see text]) factor and sensitivity. External noise is strongly suppressed by enclosing the sensing coil in a copper cylindrical shield, large enough not to negatively affect the coil’s [Formula: see text] factor and sensitivity, measured to b
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38

Bringout, Gaël, Wolfgang Erb, and Jürgen Frikel. "A new 3D model for magnetic particle imaging using realistic magnetic field topologies for algebraic reconstruction." Inverse Problems 36, no. 12 (2020): 124002. http://dx.doi.org/10.1088/1361-6420/abb446.

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39

Qi, Xinxin, Ming Yao, Mei Jin, and Haoyou Guo. "Application of Magnetic Resonance Imaging Based on Fe3O4 Nanoparticles in the Treatment of Cerebrovascular Diseases." Journal of Nanoscience and Nanotechnology 21, no. 2 (2021): 843–51. http://dx.doi.org/10.1166/jnn.2021.18697.

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Due to its high stability and excellent performance, inorganic nanomaterials have attracted much attention in the research of disease diagnosis and treatment. Focusing on inorganic nanomaterials, high-temperature pyrolysis has been used to successfully prepare Fe3O4 nanoparticles with different particle sizes. The diagnosis and treatment of Alzheimer’s disease have advanced, and many new diagnostic methods have been adopted clinically. In this paper, Fe3O4 nanoparticle magnetic resonance imaging technology is used to explore the application of magnetic Fe3O4 inorganic nanomaterials in cerebrov
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40

Rukhsar, Muhammad, Zubair Ahmad, Abdur Rauf, Hassan Zeb, Mujeeb Ur-Rehman, and Hassan A. Hemeg. "An Overview of Iron Oxide (Fe3O4) Nanoparticles: From Synthetic Strategies, Characterization to Antibacterial and Anticancer Applications." Crystals 12, no. 12 (2022): 1809. http://dx.doi.org/10.3390/cryst12121809.

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Magnetic nanoparticles have been discovered to be promising materials for various biomedical applications; for example, they have been used for cancer detection, screening, and chemotherapy studies during the last few decades. Likewise, magnetic nanoparticles have significant antibacterial properties, and similarly, they can be applied for magnetic resonance imaging purposes. These sensors are meant to detect certain biomarkers, which are substances that can be linked to the beginning or progression of cancer both during and after therapy. Magnetic nanoparticles have several unique properties
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41

Kluth, Tobias, Bangti Jin, and Guanglian Li. "On the degree of ill-posedness of multi-dimensional magnetic particle imaging." Inverse Problems 34, no. 9 (2018): 095006. http://dx.doi.org/10.1088/1361-6420/aad015.

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42

Athalye, Vivek, Michael Lustig, and Martin Uecker. "Parallel magnetic resonance imaging as approximation in a reproducing kernel Hilbert space." Inverse Problems 31, no. 4 (2015): 045008. http://dx.doi.org/10.1088/0266-5611/31/4/045008.

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43

Lu, Jian-yu. "Reconstruction methods for super-resolution imaging with PSF modulation." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A54. http://dx.doi.org/10.1121/10.0026777.

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Recently, a super-resolution imaging method called the PSF (point spread function) modulation method was developed (Lu, IEEE TUFFC 2024). In this method, the amplitude, phase, or both of the PSF of a linear shift-invariant (LSI) imaging system is modulated so that the modulated PSF has a higher spatial frequency than that of the original PSF to reconstruct super-resolution images. The modulator can be produced and manipulated remotely by methods such as radiation force or it can be a physical particle such as micro- or nano-particle manipulated by an external force such as electrical and elect
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44

Budnyk, A. P., T. A. Lastovina, A. L. Bugaev, et al. "Gd3+-Doped Magnetic Nanoparticles for Biomedical Applications." Journal of Spectroscopy 2018 (August 2, 2018): 1–9. http://dx.doi.org/10.1155/2018/1412563.

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Magnetic nanoparticles (MNPs) made of iron oxides with cubic symmetry (Fe3O4, γ-Fe2O3) are demanded objects for multipurpose in biomedical applications as contrast agents for magnetic resonance imaging, magnetically driven carriers for drug delivery, and heaters in hyperthermia cancer treatment. An optimum balance between the right particle size and good magnetic response can be reached by a selection of a synthesis method and by doping with rare earth elements. Here, we present a microwave-assisted polyol synthesis of iron oxide MNPs with actual gadolinium (III) doping from 0.5 to 5.1 mol.%.
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45

Safarik, Ivo, and Mirka Safarikova. "Magnetically Responsive Nanocomposite Materials for Bioapplications." Solid State Phenomena 151 (April 2009): 88–94. http://dx.doi.org/10.4028/www.scientific.net/ssp.151.88.

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Magnetic nano- and microparticles have already found many important applications in various areas of biosciences, medicine, biotechnology, environmental technology etc. These smart materials exhibit different types of response to external magnetic field. In most cases they can be described as composite materials, where the magnetic properties are caused by the presence of iron oxides nano- or microparticles. Such materials can be efficiently separated from difficult-to-handle samples and targeted to the desired place, applied as contrast agents for magnetic resonance imaging, used to generate
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46

Knopp, T., M. Erbe, T. F. Sattel, S. Biederer, and T. M. Buzug. "A Fourier slice theorem for magnetic particle imaging using a field-free line." Inverse Problems 27, no. 9 (2011): 095004. http://dx.doi.org/10.1088/0266-5611/27/9/095004.

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47

Erb, W., A. Weinmann, M. Ahlborg, et al. "Mathematical analysis of the 1D model and reconstruction schemes for magnetic particle imaging." Inverse Problems 34, no. 5 (2018): 055012. http://dx.doi.org/10.1088/1361-6420/aab8d1.

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48

Kluth, Tobias. "Erratum for Mathematical models for magnetic particle imaging (2018 Inverse Problems 34 083001)." Inverse Problems 36, no. 3 (2020): 039601. http://dx.doi.org/10.1088/1361-6420/ab5483.

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49

Nunes, Teresa G. "Influence of Grain Size on the Setting of Portland Cement: A Stray-Field Magnetic Resonance Imaging Study." Materials Science Forum 514-516 (May 2006): 1633–37. http://dx.doi.org/10.4028/www.scientific.net/msf.514-516.1633.

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A number of failures of large concrete structures during construction have been reported in the last decades [1]. The overestimation of concrete strength at early ages was one of the reasons for the failures. Consequently, reliable information about early age properties of the material is essential to guarantee life-time performance of structures. Portland cement is a complex heterogeneous particulate material and a full knowledge of kinetics of the hydration reactions, for example, is still missing. Gel constitutes the major phase in the hardening cement paste and the corresponding structure
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50

Zouaoui, Hakima, and Abdelouahab Moussaoui. "Bioinspired Inference System for MR Image Segmentation and Multiple Sclerosis Detection." International Journal of Swarm Intelligence Research 12, no. 3 (2021): 37–57. http://dx.doi.org/10.4018/ijsir.2021070102.

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Multiple sclerosis (MS) is a chronic autoimmune and inflammatory disease affecting the central nervous system (CNS). Magnetic resonance imaging (MRI) provides sufficient imaging contrast to visualize and detect MS lesions, particularly those in the white matter (WM). A robust and precise segmentation of WM lesions from MRI provide essential information about the disease status and evolution. The proposed FPSOPCM segmentation algorithm included an initial segmentation step using fuzzy particle swarm optimization (FPSO). After extraction of WM, atypical data (outliers) is eliminated using possib
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