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      • Department of Electrical and Electronics Engineering
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      Coded scenes for fast system calibration in magnetic particle imaging

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      Author(s)
      Ilbey, S.
      Top, C. B.
      Güngör, A.
      Sarıtaş, Emine Ülkü
      Güven, E.
      Date
      2018
      Source Title
      2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
      Print ISSN
      1945-7928
      Electronic ISSN
      1945-8452
      Publisher
      IEEE
      Pages
      315 - 318
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      217
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      181
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      Abstract
      Magnetic nanoparticle (MNP) agents have a wide range of clinical application areas for both imaging and therapy. MNP distribution inside the body can be imaged using Magnetic Particle Imaging (MPI). For MPI image reconstruction with the system function matrix (SFM) approach, a calibration scan is necessary, in which a single MNP sample is placed and scanned inside the full field of view (FOV), which is a very time consuming task. In this study, we propose the use of coded scenes that include MNP samples at multiple positions inside the FOV, and reconstruct the SFM using compressed sensing techniques. We used simulations to analyze the effect of number of coded scenes on the image quality, and compare the results with standard sparse reconstruction using single MNP sample scan. The results show that with the proposed method, the required number of measurements is decreased substantially, enabling a fast system calibration procedure.
      Keywords
      Alternating direction method of multipliers
      Compressive sensing
      Image reconstruction
      Magnetic nanoparticles
      Magnetic particle imaging
      Sparse reconstruction
      System matrix
      Permalink
      http://hdl.handle.net/11693/50190
      Published Version (Please cite this version)
      https://doi.org/10.1109/ISBI.2018.8363582
      Collections
      • Department of Electrical and Electronics Engineering 3863
      • National Magnetic Resonance Research Center (UMRAM) 250
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