HTGRAPPA: Real-time B1-weighted image domain TGRAPPA reconstruction

Haris Saybasili, Peter Kellman, Mark A. Griswold, J. Andrew Derbyshire, Michael A. Guttman

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


The temporal generalized autocalibrating partially parallel acquisitions (TGRAPPA) algorithm for parallel MRI was modified for real-time low latency imaging in interventional procedures using image domain, B1-weighted reconstruction. GRAPPA coefficients were calculated in k-space, but applied in the image domain after appropriate transformation. Convolution-like operations in k-space were thus avoided, resulting in improved reconstruction speed. Image domain GRAPPA weights were combined into composite unmixing coefficients using adaptive B1-map estimates and optimal noise weighting. Images were reconstructed by pixel-by-pixel multiplication in the image domain, rather than time-consuming convolution operations in k-space. Reconstruction and weight-set calculation computations were parallelized and implemented on a general-purpose multicore architecture. The weight calculation was performed asynchronously to the real-time image reconstruction using a dedicated parallel processing thread. The weight-set coefficients were computed in an adaptive manner with updates linked to changes in the imaging scan plane. In this implementation, reconstruction speed is not dependent on acceleration rate or GRAPPA kernel size.

Original languageEnglish (US)
Pages (from-to)1425-1433
Number of pages9
JournalMagnetic resonance in medicine
Issue number6
StatePublished - Jun 2009
Externally publishedYes


  • Parallel MRI
  • Real-time MRI

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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