3 years ago

Quasi-Random Single-Point Imaging using Low-Discrepancy k-Space Sampling.

Speidel, Rasche, Wundrak, Paul
MR imaging of short relaxation times spin systems has been a widely discussed topic with serious clinical applications and led to the emergence of fast imaging ultra-short echo-time sequences. Nevertheless, these sequences suffer from image blurring due to the related sampling point spread function and are highly prone to imaging artefacts arising from e.g. chemical shifts or magnetic susceptibilities. In this work, we present a concept of spherical quasi-random single-point imaging. The approach is highly accelerateable due to intrinsic undersampling properties and capable of strong metal artefact suppression. Imaging acceleration is achieved by sampling of quasirandom points in k-space, based on a low-discrepancy sequence, and a combination with non-linear optimisation reconstruction techniques (Compressed Sensing). The presented low-discrepancy trajectory shows ideal noise-like undersampling properties for the combination with Compressed Sensing (CS), leading to denoised images with excellent metal artefact reduction. Using eight-fold undersampling, acquisition times of few minutes can be achieved for volume acquisitions.

Publisher URL: http://doi.org/10.1109/TMI.2017.2760919

DOI: 10.1109/TMI.2017.2760919

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