• Title of article

    MR phase imaging: sensitive and contrast-enhancing visualization in cellular imaging

  • Author/Authors

    Siow، نويسنده , , Tiing Yee and Chen، نويسنده , , Chiao-Chi V. and Lin، نويسنده , , Chien-Yuan and Chen، نويسنده , , Jeou-Yuan and Chang، نويسنده , , Chen، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2012
  • Pages
    7
  • From page
    247
  • To page
    253
  • Abstract
    The successful translation of stem-cell therapies requires a detailed understanding of the fate of transplanted cells. Magnetic resonance imaging (MRI) has provided a noninvasive means of imaging cell dynamics in vivo by prelabeling cell with T2⁎ shortening iron oxide particles. However, this approach suffers from a gradual loss of sensitivity since active cell mitosis could decrease the cellular contrast agent (CA) concentration below detection level. In addition, the interpretation of images may be confounded by hypointensities induced by factors other than this CA susceptibility effect (CASE). We therefore examined the feasibility of exploiting the phase information in MRI to increase the sensitivity of cellular imaging and to differentiate the CASE from endogenous image hypointensity. Phase aliasing and the B0 field inhomogeneity effect were removed by applying a reliable unwrapping algorithm and a high-pass filter, respectively, thus delineating phase variations originating from high spatial frequencies due to the CASE. We found that the filtered phase map detects labeled cells with high sensitivity and can readily differentiate the cell migration track from the white matter, both of which are hypointense in T2⁎-weighted magnitude images. Furthermore, an approximate fivefold contrast-to-noise ratio enhancement can be achieved with an MRI phase map over conventional T2⁎-weighted magnitude images.
  • Keywords
    Cell migration , MRI , Cellular imaging , Gradient echo phase image
  • Journal title
    Magnetic Resonance Imaging
  • Serial Year
    2012
  • Journal title
    Magnetic Resonance Imaging
  • Record number

    1833259