Computer Assisted Human Follicle Analysis for Fertility Prospects with 3D Ultrasound

  • Bart M. ter Haar Romeny
  • Bart Titulaer
  • Stiliyan Kalitzin
  • Gabriëlle Scheffer
  • Frank Broekmans
  • Joes Staal
  • Egbert te Velde
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1613)


Knowledge about the status of the female reproductive system is important for fertility problems and age-related family planning. The volume of these fertility requests in our emancipated society is steadily increasing. Intravaginal 3D ultrasound imaging of the follicles in the ovary gives important information about the ovarian aging, i.e. number of follicles, size, position and response to hormonal stimulation. Manual analysis of the many follicles is laborious and error-prone. We present a multiscale analysis to automatically detect and quantify the number and shape of the patient’s follicles. Robust estimation of the centres of the follicles in the speckled echographic images is done by calculating so-called winding number of the intensity singularity, i.e. the path integral of the angular increment of the direction of the gradient vector over a closed neighbourhood around the point. The principal edges on 200–500 intensity traces radiating from the detected singularity points are calculated by a multiscale edge focussing technique on 1D winding numbers. They are fitted with 3D spherical harmonic functions, from which the volume and shape parameters are derived.


Gradient Vector Large Follicle Ovarian Aging Follicle Centre Bovine Ovary 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Bart M. ter Haar Romeny
    • 1
  • Bart Titulaer
    • 1
  • Stiliyan Kalitzin
    • 1
  • Gabriëlle Scheffer
    • 2
  • Frank Broekmans
    • 2
  • Joes Staal
    • 1
  • Egbert te Velde
    • 2
  1. 1.Image Sciences InstituteUtrecht UniversityUtrechtThe Netherlands
  2. 2.Division of Obstetrics and Gynaecology, Subdivision for Reproductive MedicineUniversity Hospital UtrechtThe Netherlands

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