• DocumentCode
    1822238
  • Title

    Interest of the Steady State Free Precession (SSFP) sequence for 3D modeling of the whole fetus

  • Author

    Anquez, J. ; Angelini, E. ; Bloch, I. ; Merzoug, V. ; Bellaiche-Millischer, A.E. ; Adamsbaum, C.

  • Author_Institution
    GET - Telecom Paris (ENST) - CNRS UMR 5141 LTCI, Paris
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    771
  • Lastpage
    774
  • Abstract
    Fetal magnetic resonance imaging (MRI) has been gaining interest over the last two decades. Current fast MRI sequences provide imaging data of the whole uterus in less than 20 seconds, avoiding fetal motion related artifacts without any maternal or fetal sedation. MRI has proved to be a useful adjunct to echographic screening for prenatal diagnosis. However, MRI volumetric data is still mainly interpreted on 2D slices and 3D applications remain limited. In this paper, we discuss the qualities of the SSFP MRI sequences to provide adequate data for 3D segmentation and modeling of the fetus. Potential exploitations of 3D segmentation and derived anatomical models cover several domains: biometric and morphologic clinical studies, quantitative longitudinal studies of normal and abnormal fetus developments, direct visualization of the overall fetus body and simulations in different fields (surgery, radiation dosimetry,...).
  • Keywords
    biomedical MRI; image segmentation; image sequences; medical image processing; obstetrics; physiological models; 3D segmentation; echographic screening; fetal magnetic resonance imaging; fetus 3D modeling; steady state free precession; Automation; Fetus; Hospitals; Image databases; Image reconstruction; Image segmentation; Lungs; Magnetic resonance imaging; Pathology; Steady-state; Female; Fetal Movement; Fetus; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Pregnancy; Time Factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352404
  • Filename
    4352404