• Title of article

    Relative RF coil performance in carotid imaging

  • Author/Authors

    Hadley، نويسنده , , J. Rock and Roberts، نويسنده , , John A. and Goodrich، نويسنده , , K. Craig and Buswell، نويسنده , , Henry R. and Parker، نويسنده , , Dennis L.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2005
  • Pages
    11
  • From page
    629
  • To page
    639
  • Abstract
    Purpose er simulations and measurements on human volunteers were used to test the extent to which the quality of carotid imaging might be improved by coil arrays that are not limited by a constraint on the number of RF coil receiver ports. s ic near-field equations for the magnetic and electric fields of a rectangular loop resonator were used to estimate the relative signal-to-noise ratio (rSNR) along the length of a simulated carotid artery as a function of loop size, loop position and vessel depth. The sizes, positions and number of elements in a linear coil array that resulted in the maximum composite SNR along the length of a simulated carotid artery were then estimated. The linear array results were used to predict the total number of elements needed for optimal imaging of the carotid arteries. Also, three normal volunteers were imaged with a variety of RF coils, and the rSNR measurements along the lengths of the carotid artery were evaluated for each coil combination. s alytic simulation and the human volunteer measurements both show that improved SNR (e.g., >300% at the bifurcation) can be obtained with coils tailored to each specific region of the carotid artery in comparison to that obtained with four-element arrays designed and used to image the entire carotid artery. sions sulting number of coil ports, 16 to 24, required for full coverage of the carotid arteries is consistent with the number of channels just becoming available on recently developed clinical scanners.
  • Keywords
    Magnetic resonance angiography , Carotid artery imaging , Signal-to-noise , RF coils
  • Journal title
    Magnetic Resonance Imaging
  • Serial Year
    2005
  • Journal title
    Magnetic Resonance Imaging
  • Record number

    1832153