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

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Information Processing in Medical Imaging (IPMI 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1613))

Abstract

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.

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Author information

Authors and Affiliations

  1. Image Sciences Institute, Utrecht University, PO Box 85500, NL-3508 GA, Utrecht, The Netherlands

    Bart M. ter Haar Romeny, Bart Titulaer, Stiliyan Kalitzin & Joes Staal

  2. Division of Obstetrics and Gynaecology, Subdivision for Reproductive Medicine, University Hospital Utrecht, The Netherlands

    Gabriëlle Scheffer, Frank Broekmans & Egbert te Velde

Authors
  1. Bart M. ter Haar Romeny
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  2. Bart Titulaer
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  3. Stiliyan Kalitzin
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  4. Gabriëlle Scheffer
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  5. Frank Broekmans
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  6. Joes Staal
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  7. Egbert te Velde
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Editor information

Editors and Affiliations

  1. Department of Applied Informatics, József Attila University, Árpád tér 2., H-6720, Szeged, Hungary

    Attila Kuba

  2. Institute of Nuclear Medicine, Charles University of Prague, Salmovska 3, CZ-120 00, Prague, Czech Republic

    Martin Šáamal

  3. Department of Medical Physics, University College London, Gower Street, London, WC1E 6BT, UK

    Andrew Todd-Pokropek

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© 1999 Springer-Verlag Berlin Heidelberg

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ter Haar Romeny, B.M. et al. (1999). Computer Assisted Human Follicle Analysis for Fertility Prospects with 3D Ultrasound. In: Kuba, A., Šáamal, M., Todd-Pokropek, A. (eds) Information Processing in Medical Imaging. IPMI 1999. Lecture Notes in Computer Science, vol 1613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48714-X_5

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  • DOI: https://doi.org/10.1007/3-540-48714-X_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66167-2

  • Online ISBN: 978-3-540-48714-2

  • eBook Packages: Springer Book Archive

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