• DocumentCode
    2522590
  • Title

    LEVEL SET SNAKE ALGORITHMS ON THE FETAL HEART

  • Author

    Dindoyal, Irving ; Lambrou, Tryphon ; Deng, Jing ; Todd-Pokropek, Andrew

  • Author_Institution
    Dept. of Med. Phys. & Bioeng., Univ. Coll. London
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    864
  • Lastpage
    867
  • Abstract
    The fetal heart has very thin intra-chamber walls which are often not resolved by ultrasound scanners and may drop out as a result of imaging. In order to measure blood volumes from all chambers in isolation, deformable model approaches were used to segment the chambers and fill in the missing structural information. Three level set algorithms in the fetal cardiac segmentation literature (two without and, one with the use of a shape prior) were applied to real ultrasound data. The shape prior term was extracted from the shape prior level set and incorporated into the amorphous snakes for a fairer comparison. To our knowledge this is the first time these existing fetal cardiac non shape based segmentation algorithms have been modified for shape awareness in this way
  • Keywords
    biomechanics; biomedical measurement; biomedical ultrasonics; blood; cardiology; deformation; feature extraction; image segmentation; medical image processing; obstetrics; physiological models; shape measurement; amorphous snakes; blood volume measurement; chamber segmentation; deformable model; fetal cardiac segmentation; fetal heart; level set algorithms; nonshape based segmentation; shape awareness; shape prior level set; shape prior term extraction; snake algorithms; thin intrachamber walls; ultrasound data; ultrasound scanners; Blood; Deformable models; Fetal heart; Image resolution; Image segmentation; Level set; Shape; Ultrasonic imaging; Ultrasonic variables measurement; Volume measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0672-2
  • Electronic_ISBN
    1-4244-0672-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.356989
  • Filename
    4193423