• DocumentCode
    724952
  • Title

    Retrospective correction of motion induced artifacts in 1H magnetic resonance spectroscopy of the fetal brain

  • Author

    Evangelou, Iordanis E. ; Noeske, Ralph ; Limperopoulos, Catherine

  • Author_Institution
    Div. of Diagnostic Imaging & Radiol., Children´s Nat. Health Syst., Washington, DC, USA
  • fYear
    2015
  • fDate
    16-19 April 2015
  • Firstpage
    853
  • Lastpage
    857
  • Abstract
    Magnetic resonance (MR) imaging and spectroscopy of the fetal brain in utero are increasingly performed in the 2nd and 3rd trimester of pregnancy to complement obstetric ultrasound in high-risk pregnancies. MR offers a great potential to study brain development in vivo despite a number of challenges including maternal breathing, fetal movement, long acquisition times, low spatial resolution and signal to noise. Acquired fetal MR data are often of poor quality compared to adult ones further impeding quantification. Here we present an optimized acquisition scheme with a retrospective correction methodology of motion induced artifacts for 1H MR spectroscopy of the fetal brain that recovers lost signal from the spectra and improves metabolite concentration quantification by lowering the standard deviation of uncertainty.
  • Keywords
    biomechanics; biomedical MRI; brain; magnetic resonance spectroscopy; obstetrics; 1H MRS; MRI; fetal brain; fetal movement; high-risk pregnancy; in vivo brain development; long acquisition time; lost signal recovery; low spatial resolution; magnetic resonance imaging; magnetic resonance spectroscopy; maternal breathing; metabolite concentration quantification; motion-induced artifact; obstetric ultrasound; optimized acquisition scheme; retrospective correction methodology; signal-to-noise; utero; Frequency-domain analysis; Magnetic resonance; Magnetic resonance imaging; Navigation; Spectroscopy; Uncertainty; Brain; Fetus; MR spectroscopy; Motion;
  • 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.2015.7164005
  • Filename
    7164005