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Rapid time-resolved magnetic resonance angiography via a multiecho radial trajectory and GraDeS reconstruction.


ABSTRACT: Contrast-enhanced magnetic resonance angiography is challenging due to the need for both high spatial and temporal resolution. A multishot trajectory composed of pseudo-random rotations of a single multiecho radial readout was developed. The trajectory is designed to give incoherent aliasing artifacts and a relatively uniform distribution of projections over all time scales. A field map (computed from the same data set) is used to avoid signal dropout in regions of substantial field inhomogeneity. A compressed sensing reconstruction using the GraDeS algorithm was used. Whole brain angiograms were reconstructed at 1-mm isotropic resolution and a 1.1-s frame rate (corresponding to an acceleration factor > 100). The only parameter which must be chosen is the number of iterations of the GraDeS algorithm. A larger number of iterations improves the temporal behavior at cost of decreased image signal-to-noise ratio. The resulting images provide a good depiction of the cerebral vasculature and have excellent arterial/venous separation.

SUBMITTER: Lee GR 

PROVIDER: S-EPMC3556219 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature

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Rapid time-resolved magnetic resonance angiography via a multiecho radial trajectory and GraDeS reconstruction.

Lee Gregory R GR   Seiberlich Nicole N   Sunshine Jeffrey L JL   Carroll Timothy J TJ   Griswold Mark A MA  

Magnetic resonance in medicine 20120403 2


Contrast-enhanced magnetic resonance angiography is challenging due to the need for both high spatial and temporal resolution. A multishot trajectory composed of pseudo-random rotations of a single multiecho radial readout was developed. The trajectory is designed to give incoherent aliasing artifacts and a relatively uniform distribution of projections over all time scales. A field map (computed from the same data set) is used to avoid signal dropout in regions of substantial field inhomogeneit  ...[more]

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