• DocumentCode
    1547970
  • Title

    A signal/noise analysis of quasi-static MR elastography

  • Author

    Bishop, Jonathan ; Samani, Abbas ; Sciarretta, Justin ; Luginbuhl, Chris ; Plewes, Donald B.

  • Author_Institution
    Colorado Medtech, Longmont, CO, USA
  • Volume
    20
  • Issue
    11
  • fYear
    2001
  • Firstpage
    1183
  • Lastpage
    1187
  • Abstract
    In quasi-static magnetic resonance elastography, strain images of a tissue or material undergoing deformation are produced. In this paper, the signal/noise (S/N) ratio [SNR] of elastographic strain images, as measured by a phase-contrast technique, is analyzed. Experiments are conducted to illustrate how diffusion-mediated signal attenuation limits maximum strain SNR in small displacement cases, while the imaging point-spread function limits large displacement cases. A simple theoretical treatment agrees well with experiments and shows how an optimal displacement encoding moment can be predicted for a given experimental set of parameters to achieve a maximum strain SNR. A further experiment demonstrates how the limitation on strain SNR posed by the imaging point-spread function may potentially be overcome.
  • Keywords
    biomechanics; biomedical MRI; elasticity; diffusion-mediated signal attenuation; magnetic resonance imaging; maximum strain SNR limitation; medical diagnostic imaging; quasistatic MR elastography; signal/noise analysis; small displacement cases; tissue strain images; Biological materials; Capacitive sensors; Magnetic analysis; Magnetic field induced strain; Magnetic materials; Magnetic noise; Magnetic resonance; Signal analysis; Signal to noise ratio; Strain measurement; Diffusion; Elasticity; Humans; Magnetic Resonance Imaging; Models, Theoretical; Noise; Predictive Value of Tests; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.963821
  • Filename
    963821