• DocumentCode
    724951
  • Title

    Adaptive scan strategies for fetal MRI imaging using slice to volume techniques

  • Author

    Kainz, Bernhard ; Malamateniou, Christina ; Ferrazzi, Giulio ; Murgasova, Maria ; Egger, Jan ; Keraudren, Kevin ; Rutherford, Mary ; Hajnal, Joseph V. ; Rueckert, Daniel

  • Author_Institution
    Dept. of Comput., Imperial Coll. London, London, UK
  • fYear
    2015
  • fDate
    16-19 April 2015
  • Firstpage
    849
  • Lastpage
    852
  • Abstract
    In this paper several novel methods to account for fetal movements during fetal Magnetic Resonance Imaging (fetal MRI) are explored. We show how slice-to-volume reconstruction methods can be used to account for motion adaptively during the scan. Three candidate methods are tested for their feasibility and integrated into a computer simulation of fetal MRI. The first alters the main orientation of the stacks used for reconstruction, the second stops if too much motion occurs during slice acquisition and the third steers the orientation of each slice individually. Reconstruction informed adaptive scanning can provide a peak signal-to-noise ratio (PSNR) improvement of up to 2 dB after only two stacks of scanned slices and is more efficient with respect to the uncertainty of the final reconstruction.
  • Keywords
    adaptive systems; biomedical MRI; data acquisition; image reconstruction; medical image processing; motion compensation; noise; obstetrics; PSNR improvement; computer simulation; fetal MRI; fetal magnetic resonance imaging; fetal movement; main stack orientation alteration; peak signal-to-noise ratio; reconstruction informed adaptive scanning; reconstruction uncertainty; slice acquisition; slice orientation steering; slice-to-volume reconstruction; Image reconstruction; Image resolution; Magnetic resonance imaging; Tracking; Trajectory; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
  • Conference_Location
    New York, NY
  • Type

    conf

  • DOI
    10.1109/ISBI.2015.7164004
  • Filename
    7164004