• About
  • Policies
  • What is open access
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      MNP characterization and signal prediction using a model-based dictionary

      Thumbnail
      View / Download
      1.4 Mb
      Author(s)
      Alpman, Asli
      Utkur, Mustafa
      Saritas, Emine Ulku
      Date
      2022-03-21
      Source Title
      International Journal on Magnetic Particle Imaging
      Publisher
      Infinite Science Publishing
      Volume
      8
      Issue
      1 Suppl 1
      Pages
      1 - 4
      Language
      English
      Type
      Article
      Item Usage Stats
      6
      views
      1
      downloads
      Abstract
      Magnetic Particle Imaging (MPI) utilizes the nonlinear magnetic response of magnetic nanoparticles (MNPs) for signal localization. Accurate modeling of the magnetization behavior of MNPs is crucial for understanding their MPI signal responses. In this work, we propose a model-based dictionary approach using a coupled Brown-Néel rotation model. With experimental results on a Magnetic Particle Spectrometer (MPS), we show that this approach can successfully characterize MNPs and predict their signal responses.
      Permalink
      http://hdl.handle.net/11693/111996
      Published Version (Please cite this version)
      https://doi.org/10.18416/IJMPI.2022.2203017
      Collections
      • Aysel Sabuncu Brain Research Center (BAM) 249
      • Department of Electrical and Electronics Engineering 4011
      • National Magnetic Resonance Research Center (UMRAM) 301
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCoursesThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCourses

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 2976
      © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy