Regularized GRAPPA reconstruction

Details Regularized GRAPPA reconstruction Regularized GRAPPA reconstruction

2008-07-01

2008-07-01

Shrivastav, Brij B (Department: 2831)

Electricity: measuring and testing

Particle precession resonance

Using a nuclear resonance spectrometer system

C324S307000

Reexamination Certificate

active

11743739

ABSTRACT:
The invention relates to a method for reconstructing a fully sampled k-space data set. An undersampled GRAPPA scan of a subject is performed in a parallel MRI system using a set of receiver coil elements and corresponding receiver channels to obtain a reduced k-space data set. Autocalibration samples in k-space for each receiver channel are obtained and a GRAPPA reconstruction kernel β is calculated from the reduced k-space data set and autocalibration samples. Missing k-space lines are reconstructed to obtain a reconstructed k-space data set which together with the reduced k-space data set fully samples each channel of k-space. Each line is reconstructed using a regularized GRAPPA reconstruction if prior k-space information is available and using an unregularized GRAPPA reconstruction if no prior k-space information is available. The regularized GRAPPA reconstructions are performed preferably using a Tikhonov regularization framework.

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