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      • Department of Electrical and Electronics Engineering
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      Current constrained voltage scaled reconstruction (CCVSR) algorithm for MR-EIT and its performance with different probing current patterns

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      Author(s)
      Birgül, Ö.
      Eyüboğlu, B. M.
      İder, Y. Z.
      Date
      2003
      Source Title
      Physics in Medicine and Biology
      Print ISSN
      0031-9155
      Publisher
      Institute of Physics Publishing
      Volume
      48
      Issue
      5
      Pages
      653 - 671
      Language
      English
      Type
      Review
      Item Usage Stats
      276
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      274
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      Abstract
      Conventional injected-current electrical impedance tomography (EIT) and magnetic resonance imaging (MRI) techniques can be combined to reconstruct high resolution true conductivity images. The magnetic flux density distribution generated by the internal current density distribution is extracted from MR phase images. This information is used to form a fine detailed conductivity image using an Ohm's law based update equation. The reconstructed conductivity image is assumed to differ from the true image by a scale factor. EIT surface potential measurements are then used to scale the reconstructed image in order to find the true conductivity values. This process is iterated until a stopping criterion is met. Several simulations are carried out for opposite and cosine current injection patterns to select the best current injection pattern for a 2D thorax model. The contrast resolution and accuracy of the proposed algorithm are also studied. In all simulation studies, realistic noise models for voltage and magnetic flux density measurements are used. It is shown that, in contrast to the conventional EIT techniques, the proposed method has the capability of reconstructing conductivity images with uniform and high spatial resolution. The spatial resolution is limited by the larger element size of the finite element mesh and twice the magnetic resonance image pixel size.
      Keywords
      Algorithms
      Computer simulation
      Current density
      Electric impedance tomography
      Image reconstruction
      Magnetic flux
      Phase images
      Magnetic resonance imaging
      Accuracy
      Algorithm
      Analytical error
      Computer assisted impedance tomography
      Contrast enhancement
      Controlled study
      Electric conductivity
      Electric current
      Electric potential
      Image analysis
      Image processing
      Image reconstruction
      Mathematical computing
      Noise measurement
      Nuclear magnetic resonance imaging
      Radiation dose distribution
      Simulation
      Thorax
      Algorithms
      Electric Impedance
      Electromagnetic Fields
      Humans
      Image Interpretation, Computer-Assisted
      Magnetic resonance imaging
      Radiometry
      Reproducibility of results
      Sensitivity and specificity
      Tomography
      Permalink
      http://hdl.handle.net/11693/38214
      Published Version (Please cite this version)
      http://dx.doi.org/10.1088/0031-9155/48/5/307
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      • Department of Electrical and Electronics Engineering 3868
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