• DocumentCode
    1772005
  • Title

    Accelerate data acquisition using Turbo Spin Echo and O-Space

  • Author

    Haifeng Wang ; Tam, Leo ; Kopanoglu, Emre ; Peters, Dana ; Constable, R. Todd ; Galiana, Gigi

  • Author_Institution
    Dept. of Diagnostic Radiol., Yale Univ., New Haven, CT, USA
  • fYear
    2014
  • fDate
    April 29 2014-May 2 2014
  • Firstpage
    874
  • Lastpage
    877
  • Abstract
    Turbo Spin Echo (TSE) is a method of acquiring the echoes of a Cartesian readout in a T2-weighted echo train, resulting in a very fast imaging time. On the other hand, recent methods of spatial encoding with nonlinear magnetic fields have been studied by our group and others to reduce data acquisitions time, such as, PatLoc, O-Space, Null Space, 4D-RIO, etc. These efforts have focused on gradient echo imaging. In this paper, a novel method has been proposed to combine the benefits of both TSE acquisition and O-Space to accelerate the data acquisition for T2-weighted imaging. Because O-space acquires DC signal in at least some spatial location within each echo, modifications of the acquisition order and reconstruction method are required. We present simulations and experiments illustrating that the proposed method can further speed up data acquisition of an O-Space imaging sequence using spin echo trains.
  • Keywords
    biomedical MRI; data acquisition; image reconstruction; medical image processing; 4D-RIO; Cartesian readout echo; DC signal; Null Space; O-Space imaging sequence; PatLoc; T2-weighted echo train; data acquisition acceleration; data acquisition time reduction; gradient echo imaging; nonlinear magnetic field; reconstruction method; spatial encoding; turbo spin echo; Data acquisition; Encoding; Image coding; Image reconstruction; Magnetic resonance imaging; Standards; O-Space; magnetic resonance imaging; nonlinear; turbo spin echo;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ISBI.2014.6868010
  • Filename
    6868010