• DocumentCode
    1674264
  • Title

    Estimating Fetal Nuchal Translucency Parameters from its Ultrasound Image

  • Author

    Deng, Yin-Hui ; Wang, Yuan-Yuan ; Chen, Ping

  • Author_Institution
    Dept. of Electron. Eng., Fudan Univ., Shanghai
  • fYear
    2008
  • Firstpage
    2643
  • Lastpage
    2646
  • Abstract
    Parameters of the fetal nuchal translucency (NT) are very important for the diagnosis and evaluation of fetuses. Currently these parameters are manually measured from the fetal ultrasound image, which may introduce problems of the variability and reproducibility. Here an automatic scheme is proposed to estimate fetal NT parameters. With a morphologic filtering, this scheme firstly establishes the edge map and extracts a preliminary contour by the gradient vector flow (GVF) snake. Then an algorithm based on the dynamic programming is proposed to compound the edge map and the preliminary contour to obtain the NT contour. Finally, parameters of the NT such as the NT thickness and the NT area are calculated. From the application, it is seen that this scheme simultaneously overcomes problems of discontinuousness and concavities in the contour extraction and parameters of the fetal NT can be automatically calculated.
  • Keywords
    biomedical ultrasonics; dynamic programming; edge detection; feature extraction; filtering theory; medical image processing; obstetrics; automatic method; contour extraction; dynamic programming; edge map; fetal nuchal translucency parameter estimation; fetuses diagnosis; fetuses evaluation; gradient vector flow snake; morphologic filtering; ultrasound image; Current measurement; Data mining; Dynamic programming; Filters; Parameter estimation; Reproducibility of results; Speckle; Thickness measurement; Ultrasonic imaging; Ultrasonic variables measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1747-6
  • Electronic_ISBN
    978-1-4244-1748-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2008.994
  • Filename
    4535874