• DocumentCode
    3144804
  • Title

    Automated detection of fetal cardiac structure from first-trimester ultrasound sequences

  • Author

    Deng, Yinhui ; Wang, Yuanyuan ; Chen, Ping

  • Author_Institution
    Dept. of Electron. Eng., Fudan Univ., Shanghai, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    127
  • Lastpage
    131
  • Abstract
    The structure detection of the first-trimester fetal heart is important for the diagnosis of fetuses, which is difficult due to the small size of the first-trimester fetal heart and the low signal-to-noise ratio of the ultrasound imaging. In the paper, a novel method is proposed for the automated detection of the fetal cardiac structure from first-trimester ultrasound images. First the region of interest for the fetal heart is automatically selected based on the established motion summation image. Then a despeckle method is proposed to simultaneously suppress the speckle noise according to its statistical property and emphasize the motion information which is important for the next detection. Finally an active appearance model is designed for the fetal heart and accomplishes the structure detection. Experiments on 258 ultrasound images verify the effectivity of our proposed method.
  • Keywords
    biomedical ultrasonics; cardiology; feature extraction; image motion analysis; image sequences; medical image processing; obstetrics; statistical analysis; automated fetal cardiac structure detection; despeckle method; diagnosis; fetal heart; first-trimester ultrasound sequences; motion summation image; signal-to-noise ratio; speckle noise suppression; statistical property; ultrasound imaging; Active appearance model; Anisotropic magnetoresistance; Fetal heart; Level set; Motion estimation; Speckle; Ultrasonic imaging; Rayleigh-trimmed anisotropic diffusion; active appearance model; first-trimester fetal heart; motion summation; ultrasound images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5639656
  • Filename
    5639656