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Dataset Information

Four-dimensional respiratory motion-resolved whole heart coronary MR angiography.


ABSTRACT:

Purpose

Free-breathing whole-heart coronary MR angiography (MRA) commonly uses navigators to gate respiratory motion, resulting in lengthy and unpredictable acquisition times. Conversely, self-navigation has 100% scan efficiency, but requires motion correction over a broad range of respiratory displacements, which may introduce image artifacts. We propose replacing navigators and self-navigation with a respiratory motion-resolved reconstruction approach.

Methods

Using a respiratory signal extracted directly from the imaging data, individual signal-readouts are binned according to their respiratory states. The resultant series of undersampled images are reconstructed using an extradimensional golden-angle radial sparse parallel imaging (XD-GRASP) algorithm, which exploits spa

SUBMITTER: Piccini D 

PROVIDER: S-EPMC5040623 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature