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Improving parallel imaging by jointly reconstructing multi-contrast data.

Authors
  • Bilgic, Berkin1, 2
  • Kim, Tae Hyung3, 4
  • Liao, Congyu1, 5
  • Manhard, Mary Kate1, 2
  • Wald, Lawrence L1, 2, 6
  • Haldar, Justin P3, 4
  • Setsompop, Kawin1, 2, 6
  • 1 Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
  • 2 Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.
  • 3 Department of Electrical Engineering, University of Southern California, Los Angeles, California, USA.
  • 4 Signal and Image Processing Institute, University of Southern California, Los Angeles, California, USA.
  • 5 Center for Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China. , (China)
  • 6 Harvard-MIT Health Sciences and Technology, MIT, Cambridge, Massachusetts, USA.
Type
Published Article
Journal
Magnetic Resonance in Medicine
Publisher
Wiley (John Wiley & Sons)
Publication Date
Aug 01, 2018
Volume
80
Issue
2
Pages
619–632
Identifiers
DOI: 10.1002/mrm.27076
PMID: 29322551
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

To develop parallel imaging techniques that simultaneously exploit coil sensitivity encoding, image phase prior information, similarities across multiple images, and complementary k-space sampling for highly accelerated data acquisition. We introduce joint virtual coil (JVC)-generalized autocalibrating partially parallel acquisitions (GRAPPA) to jointly reconstruct data acquired with different contrast preparations, and show its application in 2D, 3D, and simultaneous multi-slice (SMS) acquisitions. We extend the joint parallel imaging concept to exploit limited support and smooth phase constraints through Joint (J-) LORAKS formulation. J-LORAKS allows joint parallel imaging from limited autocalibration signal region, as well as permitting partial Fourier sampling and calibrationless reconstruction. We demonstrate highly accelerated 2D balanced steady-state free precession with phase cycling, SMS multi-echo spin echo, 3D multi-echo magnetization-prepared rapid gradient echo, and multi-echo gradient recalled echo acquisitions in vivo. Compared to conventional GRAPPA, proposed joint acquisition/reconstruction techniques provide more than 2-fold reduction in reconstruction error. JVC-GRAPPA takes advantage of additional spatial encoding from phase information and image similarity, and employs different sampling patterns across acquisitions. J-LORAKS achieves a more parsimonious low-rank representation of local k-space by considering multiple images as additional coils. Both approaches provide dramatic improvement in artifact and noise mitigation over conventional single-contrast parallel imaging reconstruction. Magn Reson Med 80:619-632, 2018. © 2018 International Society for Magnetic Resonance in Medicine. © 2018 International Society for Magnetic Resonance in Medicine.

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