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Parallelized Hybrid TGRAPPA Reconstruction for Real-Time Interactive MRI

  • Haris Saybasili
  • Peter Kellman
  • J. Andrew Derbyshire
  • Elliot R. McVeigh
  • Michael A. Guttman
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5242)

Abstract

Real-time parallel MRI reconstruction was demonstrated using a hybrid implementation of the TGRAPPA algorithm. The GRAPPA coefficients were calculated in k-space and applied in the image domain after appropriate transformation, thereby achieving improved speed and excellent image quality. Adaptive B1-weighted combining of the per coil images permitted use of pre-calculated composite image domain weights providing significant decrease in computation. The weight calculation was decoupled from the real-time image reconstruction as a parallel processing thread which was updated in an adaptive manner to speed convergence in the event of interactive change in scan plane. The computation was parallelized and implemented on a general purpose multi-core architecture. Reconstruction speeds of 65-70 frames per second were achieved with a matrix of 192x144 with 15 coils.

Keywords

Block Size Image Domain Acceleration Rate Receiver Coil Acquisition Matrix 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Haris Saybasili
    • 1
    • 2
  • Peter Kellman
    • 1
  • J. Andrew Derbyshire
    • 1
  • Elliot R. McVeigh
    • 3
  • Michael A. Guttman
    • 1
  1. 1.NHLBINational Institutes of Health, DHHSBethesdaUSA
  2. 2.Biomedical Engineering InstituteBogazici UniversityIstanbulTurkey
  3. 3.Dept. of Biomedical EngineeringJohns Hopkins UniversityBaltimoreUSA

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