• Title of article

    Quantification of cerebral perfusion using the “bookend technique”: an evaluation in CNS tumors

  • Author/Authors

    Carroll، نويسنده , , Timothy J. and Horowitz، نويسنده , , Sandra and Shin، نويسنده , , Wanyong and Mouannes، نويسنده , , Jessy and Sawlani، نويسنده , , Rahul and Ali، نويسنده , , Saad and Raizer، نويسنده , , Jeffrey and Futterer، نويسنده , , Stephen، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2008
  • Pages
    8
  • From page
    1352
  • To page
    1359
  • Abstract
    We present a method of quantifying cerebral blood volume using dynamic susceptibility contrast. Our approach combines T2-weighted echo planar imaging (EPI) pulse sequences and reference scans that determine the parenchymal T1 changes resulting from an injection of a gadolinium chelate. This combined T2- and T1-weighted approach (the “bookend” technique) has been shown to be effective in the quantification of gradient-echo (GRE) (T2*-weighted) perfusion images but has not been applied to spin-echo EPI (SE-EPI) (T2-weighted) images. The physics related to blood volume measurement based on T2- and T2*-weighted EPI sequences is known to be different, and there is a question as to whether the bookend approach is effective with SE-EPI. We have compared the quantitative SE-EPI with GRE-EPI in a series of patients with central nervous system (CNS) tumors. We found that quantitative cerebral blood volume (qCBV) values for SE-EPI and GRE-EPI are in agreement with each other and with historical reference values. A subjective evaluation of image quality showed that image quality in the SE-EPI scans was high and exhibited high interreader agreement. We conclude that measuring qCBV using the bookend technique with SE-EPI images is possible and may be a viable alternative to GRE-EPI in the evaluation of CNS tumors.
  • Keywords
    human , Spin-echo , Quantification , Patients , Perfusion , CANCER
  • Journal title
    Magnetic Resonance Imaging
  • Serial Year
    2008
  • Journal title
    Magnetic Resonance Imaging
  • Record number

    1832765