Magnetic nanoparticle imaging by means of minimum norm estimates from remanence measurements.

In magnetic nanoparticle imaging, magnetic nanoparticles are coated and functionalized to bind to specific targets. After measuring their magnetic relaxation or remanence, their distribution can be determined by means of inverse methods. The reconstruction algorithm presented in this paper includes...

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Publicado en:Medical & Biological Engineering & Computing Vol. 46; no. 12; pp. 1177 - 1186
Autores principales: Baumgarten D, Liehr M, Wiekhorst F, Steinhoff U, Münster P, Miethe P, Trahms L, Haueisen J, Baumgarten, Daniel, Liehr, Mario, Wiekhorst, Frank, Steinhoff, Uwe, Münster, Peter, Miethe, Peter, Trahms, Lutz, Haueisen, Jens
Formato: research Journal Article
Publicado: Springer Nature Dec2008
Acceso en línea:Ver este registro en EBSCOhost
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      jtl: Medical & Biological Engineering & Computing
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      dt: Dec2008
      vid: 46
      iid: 12
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      pub: Springer Nature
      place: New York, New York
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        105579903
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        2010109423
        10.1007/s11517-008-0404-1
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        atl: Magnetic nanoparticle imaging by means of minimum norm estimates from remanence measurements.
      aug:
        au:
          Baumgarten D
          Liehr M
          Wiekhorst F
          Steinhoff U
          Münster P
          Miethe P
          Trahms L
          Haueisen J
          Baumgarten, Daniel
          Liehr, Mario
          Wiekhorst, Frank
          Steinhoff, Uwe
          Münster, Peter
          Miethe, Peter
          Trahms, Lutz
          Haueisen, Jens
        affil: Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, P.O. Box 100565, 98684 Ilmenau, Germany
      sug:
        subj:
          Electrodiagnosis Methods
          Magnetics Methods
          Nanotechnology
          Algorithms
          Computer Simulation
          Image Processing, Computer Assisted Methods
          Phantoms, Imaging
      ab: In magnetic nanoparticle imaging, magnetic nanoparticles are coated and functionalized to bind to specific targets. After measuring their magnetic relaxation or remanence, their distribution can be determined by means of inverse methods. The reconstruction algorithm presented in this paper includes first a dipole fit using a Levenberg-Marquardt optimizer to determine the reconstruction plane. Secondly, a minimum norm estimate is obtained on a regular grid placed in that plane. Computer simulations involving different parameter sets and conditions show that the used approach allows for the reconstruction of distributed sources, although the reconstructed shapes are distorted by blurring effects. The reconstruction quality depends on the signal-to-noise ratio of the measurements and decreases with larger sensor-source distances and higher grid spacings. In phantom measurements, the magnetic remanence of nanoparticle columns with clinical relevant sizes is determined with two common measurement systems. The reconstructions from these measurements indicate that the approach is applicable for clinical measurements. Our results provide parameter sets for successful application of minimum norm approaches to Magnetic Nanoparticle Imaging.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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