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. © 2008 Springer Berlin Heidelberg.
CITATION STYLE
Saybasili, H., Kellman, P., Derbyshire, J. A., McVeigh, E. R., & Guttman, M. A. (2008). Parallelized hybrid TGRAPPA reconstruction for real-time interactive MRI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5242 LNCS, pp. 163–170). Springer Verlag. https://doi.org/10.1007/978-3-540-85990-1_20
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