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      Relaxation-based viscosity mapping for magnetic particle imaging

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      Author
      Utkur, Mustafa
      Muslu, Yavuz
      Sarıtaş, Emine Ülkü
      Date
      2017
      Source Title
      Physics in Medicine and Biology
      Print ISSN
      0031-9155
      Publisher
      Institute of Physics Publishing
      Volume
      62
      Issue
      9
      Pages
      3422 - 3439
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      Magnetic particle imaging (MPI) has been shown to provide remarkable contrast for imaging applications such as angiography, stem cell tracking, and cancer imaging. Recently, there is growing interest in the functional imaging capabilities of MPI, where 'color MPI' techniques have explored separating different nanoparticles, which could potentially be used to distinguish nanoparticles in different states or environments. Viscosity mapping is a promising functional imaging application for MPI, as increased viscosity levels in vivo have been associated with numerous diseases such as hypertension, atherosclerosis, and cancer. In this work, we propose a viscosity mapping technique for MPI through the estimation of the relaxation time constant of the nanoparticles. Importantly, the proposed time constant estimation scheme does not require any prior information regarding the nanoparticles. We validate this method with extensive experiments in an in-house magnetic particle spectroscopy (MPS) setup at four different frequencies (between 250 Hz and 10.8 kHz) and at three different field strengths (between 5 mT and 15 mT) for viscosities ranging between 0.89 mPa • s-15.33 mPa • s. Our results demonstrate the viscosity mapping ability of MPI in the biologically relevant viscosity range.
      Keywords
      Magnetic nanoparticles
      Magnetic particle imaging
      Relaxation
      Viscosity mapping
      Permalink
      http://hdl.handle.net/11693/37170
      Published Version (Please cite this version)
      http://dx.doi.org/10.1088/1361-6560/62/9/3422
      Collections
      • Aysel Sabuncu Brain Research Center (BAM) 197
      • Department of Electrical and Electronics Engineering 3601
      • National Magnetic Resonance Research Center (UMRAM) 197
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