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MR Imaging via Reduced Generalized Autocalibrating Partially Parallel Acquisition Compressed Sensing

  • Sheikh Rafiul IslamEmail author
  • Seba Maity
  • Santi P. Maity
  • Ajoy Kumar Ray
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10481)

Abstract

Magnetic Resonance Imaging (MRI) system in recent times demands a high rate of acceleration in data acquisition to reduce the scanning time. The data acquisition rate can be accelerated to a significant order through Parallel MRI (pMRI) approach. An additional improvement in low sensing time for data acquisition can be achieved using Compressed Sensing (CS) or Compressive Sampling that enables reconstruction of a sparse signal from sub-sample (incomplete) measurements. This paper proposes an efficient pMRI scheme by combining CS with Generalized Auto-calibrating Partially Parallel Acquisitions (GRAPPA) to produce an MR image at high data acquisition rate. A kernel of reduced size is used within GRAPPA for estimating the unobserved encoded samples. Instead of all the unobserved samples, a certain number of the same are estimated randomly. Now, an \(l_{1}\)-minimization based CS reconstruction technique is used in which the observed and the estimated unobserved samples are taken as measurements to reconstruct the final MR images. Extensive simulation results show that a significant reduction in artifacts and thereby consequent visual improvement in the reconstructed MRIs are achieved even when a high rate of acceleration factor is used. Simulation results also demonstrate that the proposed method outperforms some state-of-art pMRI methods, both in terms of subjective and objective quality assessment for the reconstructed images.

Keywords

Compressed sensing GRAPPA Parallel imaging pMRI Image reconstruction 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Sheikh Rafiul Islam
    • 1
    Email author
  • Seba Maity
    • 2
  • Santi P. Maity
    • 3
  • Ajoy Kumar Ray
    • 3
  1. 1.Neotia Institute of Technology Management and ScienceKolkataIndia
  2. 2.College of Engineering and ManagementKolaghatIndia
  3. 3.Indian Institute of Engineering Science and Technology, ShibpurHowrahIndia

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