• Title of article

    Assessment of the reliability of the determination of carotid artery lumen sizes by quantitative image processing of magnetic resonance angiograms and images

  • Author/Authors

    Berr، نويسنده , , Stuart S. and Hurt، نويسنده , , Naja S. and Ayers، نويسنده , , Carlos R. and Snell، نويسنده , , John W. and Merickel، نويسنده , , Michael B.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 1995
  • Pages
    9
  • From page
    827
  • To page
    835
  • Abstract
    In order to use MR imaging to assess progression or regression of atherosclerosis, one must have an idea of the reproducibility of the imaging and image processing techniques. The ability of dark-blood MRI and semiautomated image processing to reproducibility measure the inner boundary of the carotid arteries was evaluated and compared with results obtained using bright-blood MRA. MRI and MRA images were obtained for two normal and two diseased volunteers six times each over a short period of time (6 months). The carotid bifurcation was used to align slices from different imaging sessions. The area for each vessel (right and left common, internal and external carotid artery) was determined for the six imaging sessions. The standard deviations of each lumen area normalized to the average area were computed for each vessel segment for each volunteer. For the common, internal, and external carotids, the averaged normalized standard deviations for MRI were 8, 12, and 17% and for MRA were 6, 8, and 13%. Lumen sizes obtained by MRI and MRA were found to be not statistically different. Eccentric plaques not seen on MRA were visualized by MRI. In conclusion, dark-blood MRI with semiautomated image processing yields reliable lumen areas that are in agreement with those obtained by MRA.
  • Keywords
    Magnetic Resonance (MR) , Vascular studies , carotid arteries , MR , carotid arteries , Stenosis or obstruction
  • Journal title
    Magnetic Resonance Imaging
  • Serial Year
    1995
  • Journal title
    Magnetic Resonance Imaging
  • Record number

    1827053