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@ARTICLE{Pawar:873941,
      author       = {Pawar, Kamlesh and Chen, Zhaolin and Zhang, Jingxin and
                      Shah, N. Jon and Egan, Gary F.},
      title        = {{A}pplication of compressed sensing using chirp encoded
                      3{D} {GRE} and {MPRAGE} sequences},
      journal      = {International journal of imaging systems and technology},
      volume       = {30},
      number       = {3},
      issn         = {1098-1098},
      address      = {New York, NY [u.a.]},
      publisher    = {Wiley},
      reportid     = {FZJ-2020-01114},
      pages        = {592-604},
      year         = {2020},
      abstract     = {An implementation of Non‐Fourier chirp‐encoding in 3D
                      Gradient Recalled Echo (GRE), susceptibility‐weighted
                      imaging (SWI) and Magnetization Prepared Rapid Gradient Echo
                      (MPRAGE) sequences is presented with compressive sensing
                      reconstruction. 3D GRE and MPRAGE sequences were designed,
                      in which the phase encoding (PE) direction was encoded with
                      spatially selective chirp encoding Radio Frequency (RF)
                      pulses, while the slice and the readout directions were
                      Fourier encoded using gradients. During each excitation
                      along the PE direction, a different spatially‐selective RF
                      excitation pulse was used to encode the PE direction with a
                      complete set of unitary chirp encoding basis. Multichannel
                      compressive sensing reconstruction on the undersampled in
                      vivo data demonstrated that images reconstructed from chirp
                      encoded data were able to preserve the spatial resolution
                      better than the Fourier encoding. The mean Structural
                      Similarity (SSIM) across five subjects at the acceleration
                      factor of 6, for chirp encoded MPRAGE was 0.934 compared to
                      0.912 for Fourier encoded MPRAGE. The implementation of
                      prospective undersampling demonstrated the feasibility of
                      using chirp encoding in clinical practice for accelerated
                      imaging. The minimum intensity projection of the compressive
                      sensing (CS) reconstructed susceptibility weighted images
                      revealed that chirp encoding is able to delineate small
                      vessels better than the Fourier encoding with the SSIM of
                      0.960 for chirp encoding compared to the SSIM of 0.949 for
                      the Fourier encoding. Improved performance of chirp encoding
                      for CS reconstruction and SWI, along with the feasibility of
                      implementation makes them a practical candidate for clinical
                      MRI scans.},
      cin          = {INM-4},
      ddc          = {530},
      cid          = {I:(DE-Juel1)INM-4-20090406},
      pnm          = {573 - Neuroimaging (POF3-573)},
      pid          = {G:(DE-HGF)POF3-573},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000510566600001},
      doi          = {10.1002/ima.22401},
      url          = {https://juser.fz-juelich.de/record/873941},
}