• DocumentCode
    617435
  • Title

    Where is my baby? A fast fetal head auto-alignment in 3D-ultrasound

  • Author

    Cuingnet, R. ; Somphone, O. ; Mory, B. ; Prevost, Raoul ; Yaqub, Mohammad ; Napolitano, R. ; Papageorghiou, Aris ; Roundhill, D. ; Noble, J. Alison ; Ardon, R.

  • Author_Institution
    Philips Res. Medisys, France
  • fYear
    2013
  • fDate
    7-11 April 2013
  • Firstpage
    768
  • Lastpage
    771
  • Abstract
    Ultrasonography is the main modality for prenatal screening examination of the fetal central nervous system. Due to the variability of the position of the fetal brain relatively to the probe, getting through structures of interest requires both time and a high level of expertise. The method presented in this paper aims at helping the clinician navigate through the brain by automatically aligning the head in near real time (<; 1 s) in a 3D ultrasound volume. The alignment is obtained by defining a frame of reference based on the skull, the mid-sagittal plan and the orbits of the eyes; their signals remain strong and stable across acquisitions. They are detected by combining state-of-the-art techniques (random forests and template deformation). Our method has proven fast and accurate on a dataset of 78 volumes (19-24 gestational weeks): maximal alignment errors´ medians range from 5.1 to 5.8mm for the transcerebellar, transventricular and transthalamic planes.
  • Keywords
    biomedical ultrasonics; brain; deformation; eye; learning (artificial intelligence); medical image processing; neurophysiology; 3D ultrasound volume; eye orbits; fast fetal head auto-alignment; fetal brain; fetal central nervous system; mid-sagittal plan; prenatal screening; random forests; template deformation; transcerebellar planes; transthalamic planes; transventricular planes; ultrasonography; Head; Image segmentation; Neck; Orbits; Robustness; Transforms; Ultrasonic imaging; auto-alignment; random forest; template deformation; ultrasound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4673-6456-0
  • Type

    conf

  • DOI
    10.1109/ISBI.2013.6556588
  • Filename
    6556588