• Title of article

    Combined MR data acquisition of multicontrast images using variable acquisition parameters and K-space data sharing

  • Author/Authors

    R.، Mekle, نويسنده , , A.F.، Laine, نويسنده , , E.X.، Wu, نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2003
  • Pages
    -805
  • From page
    806
  • To page
    0
  • Abstract
    A new technique to reduce clinical magnetic resonance imaging (MRI) scan time by varying acquisition parameters and sharing k-space data between images, is proposed. To improve data utilization, acquisition of multiple images of different contrast is combined into a single scan, with variable acquisition parameters including repetition time (TR), echo time (TE), and echo train length (ETL). This approach is thus referred to as a "combo acquisition." As a proof of concept, simulations of MRI experiments using spin echo (SE) and fast SE (FSE) sequences were performed based on Bloch equations. Predicted scan time reductions of 25%-50% were achieved for 2-contrast and 3-contrast combo acquisitions. Artifacts caused by nonuniform k-space data weighting were suppressed through semi-empirical optimization of parameter variation schemes and the phase encoding order. Optimization was assessed by minimizing three quantitative criteria: energy of the "residue point spread function (PSF)," energy of "residue profiles" across sharp tissue boundaries, and energy of "residue images." In addition, results were further evaluated by quantitatively analyzing the preservation of contrast, the PSF, and the signal-tonoise ratio. Finally, conspicuity of lesions was investigated for combo acquisitions in comparison with standard scans. Implications and challenges for the practical use of combo acquisitions are discussed.
  • Keywords
    Abdominal obesity , Food patterns , Prospective study , waist circumference
  • Journal title
    IEEE Transactions on Medical Imaging
  • Serial Year
    2003
  • Journal title
    IEEE Transactions on Medical Imaging
  • Record number

    100835