Variable-density parallel magnetic resonance imaging

Details Variable-density parallel magnetic resonance imaging Variable-density parallel magnetic resonance imaging

2005-06-07

2005-06-07

Arana, Louis (Department: 2859)

Electricity: measuring and testing

Particle precession resonance

Using a nuclear resonance spectrometer system

C324S307000

Reexamination Certificate

active

06903551

ABSTRACT:
A variable density non-Cartesian parallel-imaging method for reconstructing a magnetic resonance (MR) image is provided. In embodiments of the invention, an MR data set is obtained by sampling first and second sampling regions, wherein a first region is sampled with a first sampling density that is higher than a second sampling density of a second region. MR images corrupted by aliasing artifacts are reconstructed from the data obtained with each one of the coil-elements of a coil array. These images can be combined into one, de-aliased image using a modified version of Cartesian SENSE. The modification allows all the available k-space lines to be used in the processing, despite the fact that different k-space regions have different sampling densities (i.e. non-Cartesian sampling). Using all available lines is advantageous in terms of signal-to-noise ratio. Advantages of embodiments of the invention over previous methods also able to deal with non-Cartesian sampling schemes may include one or more of simplicity, ease of implementation, not having to fit sensitivities to target functions as part of the reconstruction, fast processing speed and/or the avoidance of possible errors resulting from solving large systems of equations.

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International Search Report mailed Aug. 18, 2003.
McKenzie C.A., et al, “Self-Calibrating Parallel Imaging with Automatic Coil Sensitivity Extraction”, Magnetic Resonance in Medicine, Academic Press, Deluth, MN, US, vol. 47, No. 3, Mar. 2002, pp. 529-538.
Madore B., “Unfold-Sense: A Self-Calibrated Parallel-Imaging Method with Artifact Suppression”, Proc. Intl. Soc. Mag. Reson. Med. 10thAnnual Meeting, May 18-24, 2002, Honolulu, Hawaii.

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