Evaluation of a novel reconstruction method based on the compressed sensing technique: Application to cervical spine MR imaging


      • CSR technique allowed for reduction of truncation artifacts in cervical spine MR images.
      • CSR technique reduced striped artifacts without prolongation of the scan time.
      • CSR technique can reduce truncation artifacts while maintaining sharpness, in contrast to windowing with an apodizing filter.
      • The results of this preliminary study warrant further investigations of the utility of CSR in patients.


      Compressed sensing-based reconstruction (CSR) is a new magnetic resonance (MR) image reconstruction method based on the compressed sensing (CS) technique. CSR suppresses ringing artifacts from truncated k-space sampling by estimating the high spatial frequency information required to support the acquired k-space data. CSR is intended to replace the existing zero-fill interpolation (ZIP) reconstruction. We investigated the usefulness of the CSR technique by obtaining sagittal T2-weighted images of the cervical spine and phantom images using CSR or ZIP. Our results indicated that the CSR technique reduces truncation artifacts compared to ZIP without prolonging the scan time or impairing image sharpness.


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        • Lufkin R.B.
        • Pusey E.
        • Stark D.D.
        • Brown R.
        • Leikind B.
        • Hanafee W.N.
        Boundary artifact due to truncation errors in MR imaging.
        Am J Roentgenol. 1986; 147: 283-287
        • Czervionke L.F.
        • Czervionke J.M.
        • Daniels D.L.
        • Haughton V.M.
        Characteristic features of MR truncation artifacts.
        Am J Roentgenol. 1988; 151: 1219-1228
        • Du Y.P.
        • Parker D.L.
        • Davis W.L.
        • Cao G.
        Reduction of partial-volume artifacts with zero-filled interpolation in three-dimensional MR angiography.
        J Magn Reson Imaging. 1994; 4: 733-741
        • Parker D.L.
        • Du Y.P.
        • Davis W.L.
        The voxel sensitivity function in Fourier transform imaging: applications to magnetic resonance angiography.
        Magn Reson Med. 1995; 33: 156-162
        • Nakamura T.
        • Naganawa S.
        • Koshikawa T.
        • Fukatsu H.
        • Sakurai Y.
        • Aoki I.
        • et al.
        High-spatial-resolution MR cisternography of the cerebellopontine angle in 90 seconds with a zero-fill interpolated fast recovery 3D fast asymmetric spin-echo sequence.
        Am J Neuroradiol. 2002; 23: 1407-1412
        • Candes E.
        • Romberg J.T.
        Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information.
        IEEE Trans Inf Theory. 2006; 52: 489-509
        • Donoho D.
        Compressed sensing.
        IEEE Trans Inf Theory. 2006; 52: 1289-1306
        • Lustig M.
        • Donoho D.
        • Pauly J.M.
        Sparse MRI: the application of compressed sensing for rapid MR imaging.
        Magn Reson Med. 2007; 58: 1182-1195
        • Smith M.
        • Woehr J.
        • Marasco E.
        • MacDonald M.E.
        Impact of DFT properties on the inherent resolution of compressed sensing reconstructed images.
        in: Proceedings of the 24th IET Irish Signals and Systems Conference, Letterkenny. 2013: 27
        • Vargas M.I.
        • Delavelle J.
        • Kohler R.
        • Becker C.D.
        • Lovblad K.
        Brain and spine MRI artifacts at 3Tesla.
        J Neuroradiol. 2009; 36: 74-81
        • Hakky M.
        • Pandey S.
        • Kwak E.
        • Jara H.
        • Erbay S.H.
        Application of basic physics principles to clinical neuroradiology: differentiating artifacts from true pathology on MRI.
        Am J Roentgenol. 2013; 201: 369-377
        • Dietrich O.
        • Reiser M.F.
        • Schoenberg S.O.
        Artifacts in 3-T MRI: physical background and reduction strategies.
        Eur J Radiol. 2008; 65: 29-35
        • Veraart J.
        • Fieremans E.
        • Jelescu I.O.
        • Knoll F.
        • Novikov D.S.
        Gibbs ringing in diffusion MRI.
        Magn Reson Med. 2016; 76: 301-314