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      Compressed sensing for body MRI : Compressed Sensing for Body MRI

      , , , , ,

      Journal of Magnetic Resonance Imaging

      Wiley

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          Abstract

          <p class="first" id="P1">The introduction of compressed sensing for increasing imaging speed in MRI has raised significant interest among researchers and clinicians, and has initiated a large body of research across multiple clinical applications over the last decade. Compressed sensing aims to reconstruct unaliased images from fewer measurements than that are traditionally required in MRI by exploiting image compressibility or sparsity. Moreover, appropriate combinations of compressed sensing with previously introduced fast imaging approaches, such as parallel imaging, have demonstrated further improved performance. The advent of compressed sensing marks the prelude to a new era of rapid MRI, where the focus of data acquisition has changed from sampling based on the nominal number of voxels and/or frames to sampling based on the desired information content. This paper presents a brief overview of the application of compressed sensing techniques in body MRI, where imaging speed is crucial due to the presence of respiratory motion along with stringent constraints on spatial and temporal resolution. The first section provides an overview of the basic compressed sensing methodology, including the notion of sparsity, incoherence, and non-linear reconstruction. The second section reviews state-of-the-art compressed sensing techniques that have been demonstrated for various clinical body MRI applications. In the final section, the paper discusses current challenges and future opportunities. </p>

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          Most cited references 82

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          Compressed sensing

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            Stable signal recovery from incomplete and inaccurate measurements

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              Compressed Sensing MRI

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                Author and article information

                Journal
                Journal of Magnetic Resonance Imaging
                J. Magn. Reson. Imaging
                Wiley
                10531807
                April 2017
                April 16 2017
                : 45
                : 4
                : 966-987
                Article
                10.1002/jmri.25547
                5352490
                27981664
                © 2017

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