Skip to main content
SpringerLink
Log in

Combining Automated Image Analysis with Obstetric Sweeps for Prenatal Ultrasound Imaging in Developing Countries

  • Conference paper
  • First Online:
Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound (BIVPCS 2017, POCUS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10549))

Abstract

Ultrasound imaging can be used to detect maternal risk factors, but it remains out of reach for most pregnant women in developing countries because there is a severe shortage of well-trained sonographers. In this paper we show the potential of combining the obstetric sweep protocol (OSP) with image analysis to automatically obtain information about the fetus. The OSP can be taught to any health care worker without any prior knowledge of ultrasound within a day, obviating the need for a well-trained sonographer to acquire the ultrasound images. The OSP was acquired from 317 pregnant women using a low-cost ultrasound device in St. Luke’s Hospital in Wolisso, Ethiopia. A deep learning network was used to automatically detect the fetal head in the OSP data. The fetal head detection was used to detect twins, determine fetal presentation and estimate gestational age without the need of a well-trained sonographer.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. World Health Organization, UNICEF, UNFPA, The World Bank, the United Nations Population Division: Trends in maternal mortality: 1990 to 2013: estimates by WHO, UNICEF, UNFPA, The World Bank and the United Nations Population Division. World Health Organization (2014)

    Google Scholar 

  2. LaGrone, L., Sadasivam, V., Kushner, A., Groen, R.: A review of training opportunities for ultrasonography in low and middle income countries. Trop. Med. Int. Health 17(7), 808–819 (2012)

    Article  Google Scholar 

  3. DeStigter, K.K., Morey, G.E., Garra, B.S., Rielly, M.R., Anderson, M.E., Kawooya, M.G., Matovu, A., Miele, F.R.: Low-cost teleradiology for rural ultrasound. In: Proceedings of the IEEE Global Humanitarian Technology Conference (GHTC), pp. 290–295 (2011)

    Google Scholar 

  4. van den Heuvel, T.L.A., Petros, H., Santini, S., de Korte, C.L., van Ginneken, B.: A step towards measuring the fetal head circumference with the use of obstetric ultrasound in a low resource setting. In: SPIE Medical Imaging, vol. 10139, p. 101390V (2017)

    Google Scholar 

  5. Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)

  6. Hadlock, F.P., Harrist, R.B., Sharman, R.S., Deter, R.L., Park, S.K.: Estimation of fetal weight with the use of head, body, and femur measurements-a prospective study. Am. J. Obstet. Gynecol. 151(3), 333–337 (1985)

    Article  Google Scholar 

  7. Napolitano, R., Donadono, V., Ohuma, E.O., Knight, C.L., Wanyonyi, S.Z., Kemp, B., Norris, T., Papageorghiou, A.T.: Scientific basis for standardization of fetal head measurements by ultrasound: a reproducibility study. Ultrasound Obstet. Gynecol. 48(1), 80–85 (2016)

    Article  Google Scholar 

  8. Sarris, I., Ioannou, C., Chamberlain, P., Ohuma, E., Roseman, F., Hoch, L., Altman, D.G., Papageorghiou, A.T.: Intra-and interobserver variability in fetal ultrasound measurements. Ultrasound Obstet. Gynecol. 39(3), 266–273 (2012)

    Article  Google Scholar 

  9. Sarris, I., Ioannou, C., Ohuma, E.O., Altman, D.G., Hoch, L., Cosgrove, C., Fathima, S., Salomon, L.J., Papageorghiou, A.T.: Standardisation and quality control of ultrasound measurements taken in the INTERGROWTH-21st Project. BJOG: Int. J. Obstet. Gynaecol. 120(s2), 33–37 (2013)

    Article  Google Scholar 

  10. Maraci, M.A., Bridge, C.P., Napolitano, R., Papageorghiou, A., Noble, J.A.: A framework for analysis of linear ultrasound videos to detect fetal presentation and heartbeat. Med. Image Anal. 37, 22–36 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands

    Thomas L. A. van den Heuvel & Bram van Ginneken

  2. Medical Ultrasound Imaging Centre, Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands

    Thomas L. A. van den Heuvel & Chris L. de Korte

  3. St. Luke’s Catholic Hospital and College of Nursing and Midwifery, Wolisso, Ethiopia

    Hezkiel Petros & Stefano Santini

  4. Fraunhofer MEVIS, Bremen, Germany

    Bram van Ginneken

Authors
  1. Thomas L. A. van den Heuvel
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hezkiel Petros
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Stefano Santini
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chris L. de Korte
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Bram van Ginneken
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Thomas L. A. van den Heuvel .

Editor information

Editors and Affiliations

  1. University College London, London, United Kingdom

    M. Jorge Cardoso

  2. McGill University, Montreal, Québec, Canada

    Tal Arbel

  3. Universidade do Porto, Porto, Portugal

    João Manuel R.S. Tavares

  4. Kitware Inc., Carrboro, North Carolina, USA

    Stephen Aylward

  5. University of Western Ontario, London, Ontario, Canada

    Shuo Li

  6. Johns Hopkins University, Baltimore, Maryland, USA

    Emad Boctor

  7. Queen’s University, Kingston, Ontario, Canada

    Gabor Fichtinger

  8. Children’s National Medical Center, Washington, District of Columbia, USA

    Kevin Cleary

  9. Washington University Medical Center, St. Louis, Missouri, USA

    Bradley Freeman

  10. InnerOptic Technology, Hillsborough, North Carolina, USA

    Luv Kohli

  11. Washington University Medical Center, St. Louis, Missouri, USA

    Deborah Shipley Kane

  12. Children’s National Medical Center, Washington, District of Columbia, USA

    Matt Oetgen

  13. Brigham and Women’s Hospital, Boston, Massachusetts, USA

    Sonja Pujol

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

van den Heuvel, T.L.A., Petros, H., Santini, S., de Korte, C.L., van Ginneken, B. (2017). Combining Automated Image Analysis with Obstetric Sweeps for Prenatal Ultrasound Imaging in Developing Countries. In: Cardoso, M., et al. Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound. BIVPCS POCUS 2017 2017. Lecture Notes in Computer Science(), vol 10549. Springer, Cham. https://doi.org/10.1007/978-3-319-67552-7_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67552-7_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67551-0

  • Online ISBN: 978-3-319-67552-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation