• Title of article

    ANTHEM: anatomically tailored hexagonal MRI

  • Author/Authors

    Manoj Saranathan، نويسنده , , Manojkumar and Ramanan، نويسنده , , Venkat and Gulati، نويسنده , , Rakesh and Venkatesan، نويسنده , , Ramesh، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2007
  • Pages
    9
  • From page
    1039
  • To page
    1047
  • Abstract
    Purpose tudy aimed to investigate the use of anatomically tailored hexagonal sampling for scan-time and error reduction in MRI. als and Methods ically tailored hexagonal MRI (ANTHEM), a method that combines hexagonal sampling with specific symmetry in anatomical geometry, is proposed. By using hexagonal sampling, aliasing artifacts are moved to regions where, due to the nature of the anatomy, aliasing is inconsequential. This can be used to either reduce scan time while maintaining spatial resolution or reduce residual errors in speedup techniques like UNFOLD and k–t BLAST/SENSE, which undersample k-space and unwrap fold-over artifacts during reconstruction. Computer simulations as well as phantom and volunteer studies were used to validate the theory. A simplified reconstruction algorithm for hexagonally sampled and subsampled k-space data was also used. s ction in sampling density of 13.4% and 25% in each hexagonally sampled dimension was achieved for spherical and conical geometries without aliasing or reduction in spatial resolution. Optimal subsampling schemes that can be utilized by UNFOLD and k–t BLAST/SENSE were derived using hexagonal subsampling, which resulted in maximal, isotropic dispersal of the aliases. In combination with UNFOLD, ANTHEM was shown to move residual aliasing artifacts to the corners of the field of view, yielding reduced artifacts in CINE reconstructions. sions was successful in reducing acquisition time in conventional MRI and in reducing errors in UNFOLD imaging.
  • Keywords
    Hexagonal sampling , Rapid imaging , Spatiotemporal sampling , UNFOLD
  • Journal title
    Magnetic Resonance Imaging
  • Serial Year
    2007
  • Journal title
    Magnetic Resonance Imaging
  • Record number

    1832578