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Tomographic imaging using the nonlinear response of magnetic particles

Author

Listed:
  • Bernhard Gleich

    (Philips Research Hamburg)

  • Jürgen Weizenecker

    (Philips Research Hamburg)

Abstract

Is MPI the new MRI? A new imaging method intended for medical diagnosis, has been developed in the Philips research lab in Hamburg. The idea is that a liquid containing harmless magnetic particles is administered to the patient, who is then subjected to a magnetic field similar to that used in conventional magnetic resonance imaging. But in contrast to MRI, it is the particles themselves that are detected, rather than the response that they induce in surrounding tissues. Medical imaging is the main focus of the project, but MPI (magnetic particle imaging) could also find applications in materials science, crack detection and fluid dynamics.

Suggested Citation

  • Bernhard Gleich & Jürgen Weizenecker, 2005. "Tomographic imaging using the nonlinear response of magnetic particles," Nature, Nature, vol. 435(7046), pages 1214-1217, June.
    • Handle: RePEc:nat:nature:v:435:y:2005:i:7046:d:10.1038_nature03808
    DOI: 10.1038/nature03808
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    Cited by:

    1. Nima Mirkhani & Michael G. Christiansen & Tinotenda Gwisai & Stefano Menghini & Simone Schuerle, 2024. "Spatially selective delivery of living magnetic microrobots through torque-focusing," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    2. Éléonore Martin & Yves Gossuin & Sara Bals & Safiyye Kavak & Quoc Lam Vuong, 2022. "Monte Carlo simulations of the magnetic behaviour of iron oxide nanoparticle ensembles: taking size dispersion, particle anisotropy, and dipolar interactions into account," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(12), pages 1-17, December.
    3. Justin J Konkle & Patrick W Goodwill & Daniel W Hensley & Ryan D Orendorff & Michael Lustig & Steven M Conolly, 2015. "A Convex Formulation for Magnetic Particle Imaging X-Space Reconstruction," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-15, October.
    4. Ping Liu & Bao-Li Chen & Kan Liu & Hao Xie, 2016. "Magnetic nanoparticles research: a scientometric analysis of development trends and research fronts," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1591-1602, September.
    5. Vladyslav Gapyak & Thomas März & Andreas Weinmann, 2022. "Quality-Enhancing Techniques for Model-Based Reconstruction in Magnetic Particle Imaging," Mathematics, MDPI, vol. 10(18), pages 1-22, September.
    6. Ren, Yaqian & Kong, Yanlong & Pang, Zhonghe & Wang, Jiyang, 2023. "A comprehensive review of tracer tests in enhanced geothermal systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    7. Gharaibeh, Maen & Alqaiem, Samah & Obeidat, Abdalla & Al-Qawasmeh, Ahmad & Abedrabbo, Sufian & Badarneh, Mohammad H.A., 2021. "Magnetic properties of the ferrimagnetic triangular nanotube with core–shell structure: A Monte Carlo study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
    8. Johannes Salamon & Martin Hofmann & Caroline Jung & Michael Gerhard Kaul & Franziska Werner & Kolja Them & Rudolph Reimer & Peter Nielsen & Annika vom Scheidt & Gerhard Adam & Tobias Knopp & Harald It, 2016. "Magnetic Particle / Magnetic Resonance Imaging: In-Vitro MPI-Guided Real Time Catheter Tracking and 4D Angioplasty Using a Road Map and Blood Pool Tracer Approach," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-14, June.
    9. Vladimir Zverev & Alla Dobroserdova & Andrey Kuznetsov & Alexey Ivanov & Ekaterina Elfimova, 2021. "Computer Simulations of Dynamic Response of Ferrofluids on an Alternating Magnetic Field with High Amplitude," Mathematics, MDPI, vol. 9(20), pages 1-15, October.

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