• Title of article

    Non-invasive visualization of collateral blood flow patterns of the circle of Willis by dynamic MR angiography

  • Author/Authors

    Matthias J.P. van Osch، نويسنده , , Jeroen Hendrikse، نويسنده , , Xavier Golay، نويسنده , , Chris J.G. Bakker، نويسنده , , Jeroen van der Grond، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2006
  • Pages
    12
  • From page
    59
  • To page
    70
  • Abstract
    The circle of Willis plays an important role in the distribution of blood flow in the brain. To obtain dynamic information of the blood flow through the circle of Willis, a dynamic MRA technique based on arterial spin labeling (ASL) is introduced as a non-invasive technique. When the ASL labeling slab is restricted to a single artery, it is possible to visualize selectively the flow distribution of that specific artery. However, because of the decay of the label and the presence of noise it is difficult to extract functional information from these images. In the present study we propose three visualization and post-processing methods for the interpretation of these images. Firstly, the passage of labeled blood was corrected for decay of the label and hereafter shown as a movie. Secondly, by calculating the time of arrival at every location in the arteries of the circle of Willis, a 2D image was reconstructed summarizing the information of the movie. Finally, quantitative flow values were obtained by relating the arterial input function to the passage of labeled blood through a region of interest encompassing the vessel under investigation. Experiments in a circle of Willis phantom showed a high linear relation between measured flow and true flow, although the measured values were 10–15% lower than the true flow values. Measurements in healthy volunteers showed the potential to quantify the flow in all major arteries of the circle of Willis.
  • Keywords
    angiography , magnetic resonance imaging , Blood flow dynamics , circle of Willis
  • Journal title
    Medical Image Analysis
  • Serial Year
    2006
  • Journal title
    Medical Image Analysis
  • Record number

    449900