Results 231 to 240 of about 258,747 (280)

Magnetic Particle Imaging Reveals that Iron-Labeled Extracellular Vesicles Accumulate in Brains of Mice with Metastases. [PDF]

ACS Appl Mater Interfaces
Toomajian VA, Tundo A, Ural EE, Greeson EM, Contag CH, Makela AV.   +5 more
europepmc   +1 more source

A Biologically‐Architected Wear and Damage‐Resistant Nanoparticle Coating From the Radular Teeth of Cryptochiton stelleri

Advanced Functional Materials, EarlyView.
The ultrahard teeth of mollusks that feed on rocky substrates contain a wear‐resistant coating on their surfaces consisting of densely packed mesocrystalline magnetic nanoparticles within an organic matrix. These coatings display significant hardness and toughness through their highly controlled mesocrystalline architectures.
Taifeng Wang, Yu Chen, Ezra Sarmiento, Taige Hao, Atsushi Arakaki, Michiko Nemoto, Pablo Zavattieri, David Kisailus   +7 more
wiley   +1 more source

A Novel Field-Free Line Generator for Mechanically Scanned Magnetic Particle Imaging. [PDF]

Sensors (Basel)
Kim TY, Jeong JC, Seo BS, Krause HJ, Hong HB.   +4 more
europepmc   +1 more source

Shape Anisotropy-Governed High-Performance Nanomagnetosol for In Vivo Magnetic Particle Imaging of Lungs. [PDF]

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Nigam S, Mohapatra J, Makela AV, Hayat H, Rodriguez JM, Sun A, Kenyon E, Redman NA, Spence D, Jabin G, Gu B, Ashry M, Sempere LF, Mitra A, Li J, Chen J, Wei GW, Bolin S, Etchebarne B, Liu JP, Contag CH, Wang P.   +21 more
europepmc   +1 more source

Post-synthesis Oxidation of Superparamagnetic Iron Oxide Nanoparticles to Enhance Magnetic Particle Imaging Performance. [PDF]

ACS Appl Nano Mater
Velazquez-Albino AC, Nozka A, Melnyk A, Good HJ, Rinaldi-Ramos CM.   +4 more
europepmc   +1 more source

Development of a human-size magnetic particle imaging device for sentinel lymph node biopsy of breast cancer. [PDF]

Front Bioeng Biotechnol
Bai S, Gai L, Zhang Q, Kang Y, Liu Z, He Y, Liu W, Jiang T, Du Z, Du S, Gao S, Zhang M, Li T.   +12 more
europepmc   +1 more source

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Parallel magnetic particle imaging

Review of Scientific Instruments, 2020
Magnetic Particle Imaging (MPI) is a promising tomographic method to visualize the distribution of superparamagnetic materials in three-dimensions. For encoding, a strong gradient represented by a field free point (FFP) or a field free line (FFL) is steered rapidly through the field of view (FOV), acquiring the signal successively.
Patrick Vogel, Thomas Kampf, Stefan Herz, Martin A. Rückert, Thorsten A. Bley, Volker C. Behr   +5 more
openaire   +2 more sources

Magnetic Particle Imaging (MPI)

RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, 2011
Magnetic particle imaging (MPI) displays the spatial distribution and concentration of superparamagnetic iron oxides (SPIOs). It is a quantitative, tomographic imaging method with high temporal and spatial resolution and allows work with high sensitivity yet without ionizing radiation. Thus, it may be a very promising tool for medical imaging.
J, Haegele, T, Sattel, M, Erbe, K, Luedtke-Buzug, M, Taupitz, J, Borgert, T M, Buzug, J, Barkhausen, F M, Vogt   +8 more
openaire   +2 more sources

Narrowband Magnetic Particle Imaging

IEEE Transactions on Medical Imaging, 2009
The magnetic particle imaging (MPI) method directly images the magnetization of super-paramagnetic iron oxide (SPIO) nanoparticles, which are contrast agents commonly used in magnetic resonance imaging (MRI). MPI, as originally envisioned, requires a high-bandwidth receiver coil and preamplifier, which are difficult to optimally noise match. This paper
Patrick W, Goodwill, Greig C, Scott, Pascal P, Stang, Steven M, Conolly   +3 more
openaire   +2 more sources

Magnetic Particle Imaging in Neurosurgery

World Neurosurgery, 2019
Magnetic particle imaging (MPI) is a novel radiation-free tomographic imaging method that provides a background-free, signal attenuation-free, direct quantification of the spatial distribution of superparamagnetic iron-oxide nanoparticles (SPIONs) with high temporal resolution (milliseconds), high spatial resolution (
Antonio Meola, Jianghong Rao, Navjot Chaudhary, Guosheng Song, Xianchuang Zheng, Steven D. Chang   +5 more
openaire   +2 more sources