• DocumentCode
    1222871
  • Title

    SNR enhancement in radial SSFP imaging using partial k-space averaging

  • Author

    Winkelmann, Stefanie ; Schaeffter, Tobias ; Eggers, Holger ; Doessel, Olaf

  • Author_Institution
    Div. Tech. Syst., Philips Res. Labs. Hamburg, Germany
  • Volume
    24
  • Issue
    2
  • fYear
    2005
  • Firstpage
    254
  • Lastpage
    262
  • Abstract
    The steady-state free precessing (SSFP) sequences, widely used in MR1 today, acquire data only during a short fraction of the repetition time (TR). Thus, they exhibit a poor scan efficiency. A novel approach to extending the acquisition window for a given TR without considerably modifying the basic sequence is explored for radial SSFP sequences. The additional data are primarily employed to increase the signal-to-noise ratio, rather than to improve the temporal resolution of the imaging. The approach is analyzed regarding its effect on the image SNR (signal to noise ratio) and the reconstruction algorithm. Results are presented for phantom experiments and cardiac functions studies. The gain in SNR is most notable in rapid imaging, since SNR enhancement for a constant repetition time may be used to compensate for the increase in noise resulting from angular undersampling.
  • Keywords
    biomedical MRI; cardiology; image enhancement; image reconstruction; image resolution; medical image processing; phantoms; cardiac functions studies; image reconstruction; magnetic resonance imaging; partial k-space averaging; phantom experiments; radial steady-state free precessing imaging; repetition time; signal-to-noise ratio enhancement; temporal resolution; Biomedical engineering; Biomedical imaging; Image reconstruction; Image resolution; Image sampling; Magnetic resonance imaging; Reconstruction algorithms; Signal to noise ratio; Spatial resolution; Steady-state; Averaging; SNR; SSFP sequences; magnetic resonance imaging; radial imaging; Algorithms; Artifacts; Artificial Intelligence; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Magnetic Resonance Imaging; Numerical Analysis, Computer-Assisted; Phantoms, Imaging; Reproducibility of Results; Sample Size; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Video Recording;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2004.840845
  • Filename
    1388574