• DocumentCode
    1786093
  • Title

    Fast Region of Interest detection for fetal genital organs in B-mode ultrasound images

  • Author

    Bharath, R. ; Rajalakshmi, P.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Hyderabad, Hyderabad, India
  • fYear
    2014
  • fDate
    26-28 May 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Genital organ detection of fetus in B-mode ultrasound images has a considerable significance. It is useful to know any malformations present in the genital organs and also to determine the sex of the fetus. In this paper we propose a Feature from Accelerated Segment Test (FAST) technique for approximate detection of fetal genitals in ultrasound images. FAST algorithm is capable of producing the corner points at a higher speed which falls on the fetal genital organs. A window of size 60×60 pixels being corner point as a center is considered as Region of Interest (ROI), where genital organ of fetus is anticipated. The efficiency of the algorithm is calculated as the ratio of number of images where corner points are placed on the fetus genital organ to the total number of images tested. FAST algorithm is robust to speckles present in the image, machine independent, fast and also computationally less intensive to implement in real time with an efficiency of 96.7%.
  • Keywords
    biological organs; biomedical ultrasonics; feature extraction; medical image processing; object detection; obstetrics; speckle; B-mode ultrasound images; FAST algorithm; Feature from Accelerated Segment Test technique; ROI; Region of Interest detection; corner points; fetal genital detection; fetal genital organs; fetus sex; genital organ detection; malformations; speckles; Feature extraction; Fetus; Image segmentation; Real-time systems; Shape; Speckle; Ultrasonic imaging; Corner detection; FAST algorithm; Fetus Genital organ; prenatal sex discernment; ultrasound scanning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC), 5th ISSNIP-IEEE
  • Conference_Location
    Salvador
  • Print_ISBN
    978-1-4799-5688-3
  • Type

    conf

  • DOI
    10.1109/BRC.2014.6880981
  • Filename
    6880981