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  • Autor
    • Kraiger, Markus
    • Knoll, Florian
    • Clason, Christian
    • Stollberger, Rudolf
  • TitelAssessment of Iterative Regularized Parallel Imaging Reconstruction for Quantitative Magnetic Resonance Imaging
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  • Peer ReviewNein
  • AbstractNonlinear parallel imaging reconstruction using an iterative regularized Gauss Newton method (IRGN) has shown its potential in several applications. This technique acquires data using array coils were the coil sensitivites and the image are both computed from the under sampled data. Several normalization steps for each image and each receiver coil are necessary prior image reconstruction. In the current work it was examined if the complex reconstruction process limits the applicability of this method for quantitative determination of NMR parameters (T2). Hence measurements with full encoding using the established parallel imaging method „Grappa“ were compared with the IRGN reconstruction. It was shown that both parallel imaging techniques are in principle applicable for quantitative determination. In the case of the applied cartesian image encoding certain advantages of the IRGN reconstruction in comparison to the applied „Grappa“ implementation were found in areas with low SNR. Further examinations are necessary for radial k-space sampling.