Fast generalized autocalibrating partially parallel...

Details Fast generalized autocalibrating partially parallel... Fast generalized autocalibrating partially parallel...

2007-10-09

2007-10-09

Shrivastav, Brij (Department: 2859)

Electricity: measuring and testing

Particle precession resonance

Using a nuclear resonance spectrometer system

Reexamination Certificate

active

11322884

ABSTRACT:
The present invention proposes a fast GeneRalized Autocalibrating Partially Parallel Acquisition (GRAPPA) image reconstruction algorithm for magnetic resonance imaging. The algorithm simplifies data fitting and channel merging in the process of reconstruction into a one-step linear calculation. Parameters needed to perform the linear calculation step can be pre-calculated and stored, thereby greatly increasing the image reconstruction speed and solving the problem of the relatively long image reconstruction time needed by prior art GRAPPA algorithms. Also, the algorithm can employ a weighting matrix to conveniently compare signal-to-noise ratio losses of images brought by different types of reconstruction methods in image domain and frequency domain.

REFERENCES:
patent: 6841998 (2005-01-01), Griswold
patent: 7002344 (2006-02-01), Griswold et al.
patent: 7132827 (2006-11-01), Griswold et al.
patent: 2005/0251023 (2005-11-01), Kannengiesser et al.
patent: 2005/0264287 (2005-12-01), Griswold et al.

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