Literature DB >> 22909418

Magnetic particle imaging: introduction to imaging and hardware realization.

Thorsten M Buzug1, Gael Bringout, Marlitt Erbe, Ksenija Gräfe, Matthias Graeser, Mandy Grüttner, Aleksi Halkola, Timo F Sattel, Wiebke Tenner, Hanne Wojtczyk, Julian Haegele, Florian M Vogt, Jörg Barkhausen, Kerstin Lüdtke-Buzug.   

Abstract

Magnetic Particle Imaging (MPI) is a recently invented tomographic imaging method that quantitatively measures the spatial distribution of a tracer based on magnetic nanoparticles. The new modality promises a high sensitivity and high spatial as well as temporal resolution. There is a high potential of MPI to improve interventional and image-guided surgical procedures because, today, established medical imaging modalities typically excel in only one or two of these important imaging properties. MPI makes use of the non-linear magnetization characteristics of the magnetic nanoparticles. For this purpose, two magnetic fields are created and superimposed, a static selection field and an oscillatory drive field. If superparamagnetic iron-oxide nanoparticles (SPIOs) are subjected to the oscillatory magnetic field, the particles will react with a non-linear magnetization response, which can be measured with an appropriate pick-up coil arrangement. Due to the non-linearity of the particle magnetization, the received signal consists of the fundamental excitation frequency as well as of harmonics. After separation of the fundamental signal, the nanoparticle concentration can be reconstructed quantitatively based on the harmonics. The spatial coding is realized with the static selection field that produces a field-free point, which is moved through the field of view by the drive fields. This article focuses on the frequency-based image reconstruction approach and the corresponding imaging devices while alternative concepts like x-space MPI and field-free line imaging are described as well. The status quo in hardware realization is summarized in an overview of MPI scanners.
Copyright © 2012. Published by Elsevier GmbH.

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Year:  2012        PMID: 22909418     DOI: 10.1016/j.zemedi.2012.07.004

Source DB:  PubMed          Journal:  Z Med Phys        ISSN: 0939-3889            Impact factor:   4.820


  15 in total

1.  Rodent Cerebral Blood Volume (CBV) changes during hypercapnia observed using Magnetic Particle Imaging (MPI) detection.

Authors:  Clarissa Zimmerman Cooley; Joseph B Mandeville; Erica E Mason; Emiri T Mandeville; Lawrence L Wald
Journal:  Neuroimage       Date:  2018-05-05       Impact factor: 6.556

2.  Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples.

Authors:  Hyobong Hong; Eul-Gyoon Lim; Jae-Chan Jeong; Jiho Chang; Sung-Woong Shin; Hans-Joachim Krause
Journal:  J Vis Exp       Date:  2016-06-09       Impact factor: 1.355

3.  Ultra-low frequency EPR using longitudinal detection and fictitious-field modulation.

Authors:  Xueyan Tang; Steven Suddarth; Guhan Qian; Michael Garwood
Journal:  J Magn Reson       Date:  2020-10-22       Impact factor: 2.229

4.  Quantification of magnetic nanoparticles by compensating for multiple environment changes simultaneously.

Authors:  Yipeng Shi; Dhrubo Jyoti; Scott W Gordon-Wylie; John B Weaver
Journal:  Nanoscale       Date:  2019-12-06       Impact factor: 7.790

Review 5.  Seeing SPIOs Directly In Vivo with Magnetic Particle Imaging.

Authors:  Bo Zheng; Elaine Yu; Ryan Orendorff; Kuan Lu; Justin J Konkle; Zhi Wei Tay; Daniel Hensley; Xinyi Y Zhou; Prashant Chandrasekharan; Emine U Saritas; Patrick W Goodwill; John D Hazle; Steven M Conolly
Journal:  Mol Imaging Biol       Date:  2017-06       Impact factor: 3.488

Review 6.  Magnetic particle imaging: current developments and future directions.

Authors:  Nikolaos Panagiotopoulos; Robert L Duschka; Mandy Ahlborg; Gael Bringout; Christina Debbeler; Matthias Graeser; Christian Kaethner; Kerstin Lüdtke-Buzug; Hanne Medimagh; Jan Stelzner; Thorsten M Buzug; Jörg Barkhausen; Florian M Vogt; Julian Haegele
Journal:  Int J Nanomedicine       Date:  2015-04-22

7.  Biological impact of superparamagnetic iron oxide nanoparticles for magnetic particle imaging of head and neck cancer cells.

Authors:  Antje Lindemann; Kerstin Lüdtke-Buzug; Bianca M Fräderich; Ksenija Gräfe; Ralph Pries; Barbara Wollenberg
Journal:  Int J Nanomedicine       Date:  2014-10-29

8.  Absence of the Epithelial Glycocalyx As Potential Tumor Marker for the Early Detection of Colorectal Cancer.

Authors:  Katrin Ramaker; Steffen Bade; Niels Röckendorf; Barbara Meckelein; Ekkehard Vollmer; Holger Schultz; Günter-Willi Fröschle; Andreas Frey
Journal:  PLoS One       Date:  2016-12-29       Impact factor: 3.240

9.  An Analytical Approach for Fast Recovery of the LSI Properties in Magnetic Particle Imaging.

Authors:  Hamed Jabbari Asl; Jungwon Yoon
Journal:  Int J Biomed Imaging       Date:  2016-10-26

10.  A High-Throughput, Arbitrary-Waveform, MPI Spectrometer and Relaxometer for Comprehensive Magnetic Particle Optimization and Characterization.

Authors:  Zhi Wei Tay; Patrick W Goodwill; Daniel W Hensley; Laura A Taylor; Bo Zheng; Steven M Conolly
Journal:  Sci Rep       Date:  2016-09-30       Impact factor: 4.379

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