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      • Department of Electrical and Electronics Engineering
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      Comparison of system-matrix-based and projection-based reconstructions for field free line magnetic particle imaging

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      Author(s)
      Ilbey, S.
      Top, C. B.
      Güngör, A.
      Çukur, Tolga
      Sarıtaş, Emine Ülkü
      Güven, H. E.
      Date
      2017
      Source Title
      International Journal on Magnetic Particle Imaging
      Print ISSN
      2365-9033
      Publisher
      Infinite Science Publishing
      Volume
      3
      Issue
      1
      Pages
      1 - 8
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      In magnetic particle imaging (MPI), system sensitivity can be enhanced by scanning the sample along a field free line (FFL) instead of a field free point (FFP). FFL MPI data can then be processed via system-matrix or projection-based reconstructions. Here, we compare the relative performance of these two approaches. We assume an ideal FFL (straight and homogeneous), which is translated and rotated in a two-dimensional field-of-view. We simulate the acquired data from a numerical vessel phantom for a broad range of noise levels. For the system-matrix reconstruction, we propose Alternating Direction Method of Multipliers (ADMM) to solve a constrained convex optimization problem. We also analyze the results of the nonnegative fused lasso (NFL) model to compare the performance of ADMM with one of the state-of-the-art system-matrix-based methods. For the projection-based reconstruction, we use the inverse Radon transform formulation with x-space reconstruction. System-matrix-based methods resulted in a higher structural similarity index and contrast compared to the x-space reconstruction method at the expense of longer reconstruction time. Artifacts occurred due to gridding errors for the x-space reconstruction. As expected, ADMM and NFL reconstructions yielded similar image quality.
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      http://hdl.handle.net/11693/49308
      Published Version (Please cite this version)
      https://doi.org/10.18416/ijmpi.2017.1703022
      Collections
      • Aysel Sabuncu Brain Research Center (BAM) 213
      • Department of Electrical and Electronics Engineering 3702
      • National Magnetic Resonance Research Center (UMRAM) 218
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