• DocumentCode
    3237679
  • Title

    Object localisation in fetal ultrasound images using invariant features

  • Author

    Bridge, Christopher P. ; Noble, J. Alison

  • Author_Institution
    Dept. of Eng. Sci., Univ. of Oxford, Oxford, UK
  • fYear
    2015
  • fDate
    16-19 April 2015
  • Firstpage
    156
  • Lastpage
    159
  • Abstract
    We address the task of object localisation in 2D fetal ultrasound images, where invariance to factors such as image contrast and object orientation is desirable. We build on recent methods for rotation-invariant detection and combine them with oriented measures of image structure derived from the monogenic signal. We test our approach on images containing the fetal heart. Our results suggest that although raw intensity features can achieve robust approximate detection, the structural measures can achieve better localisation.
  • Keywords
    biomedical ultrasonics; cardiology; feature extraction; medical image processing; object detection; obstetrics; 2D fetal ultrasound image; fetal heart; image contrast; image structure; invariant feature; monogenic signal; object localisation; object orientation; raw intensity feature; robust approximate detection; rotation-invariant detection; structural measurement; Detectors; Feature extraction; Heart; Histograms; Image representation; Robustness; Ultrasonic imaging; Ultrasound; detection; feature symmetry/asymmetry; fetal heart; histogram of gradients; monogenic signal; rotation invariant;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
  • Conference_Location
    New York, NY
  • Type

    conf

  • DOI
    10.1109/ISBI.2015.7163839
  • Filename
    7163839