Bakgrunn og aktiviteter

PhD candidate in medical imaging who is working on developing algorithms for optimization and automation of ultrasound Doppler imaging in fetal medicine.


The aim is to reduce the cost of an ultrasound system while keeping the image quality sufficient. Reducing the cost of an ultrasound system brings limitation to the hardware complexity. Careful trade-offs towards system functionality and complexity need to be made while ensuring sufficient image quality for accurate medical diagnosis. Another goal is to provide the non-professional user with guided, intuitive and automated (e.g., guidance for optimum probe placement, automatic angle correction) Doppler ultrasound imaging. The ultimate goal is to provide easy-to-use Doppler imaging on a portable cost effective ultrasound system that will be used in fetal medicine.


  • M.Sc. in medical technology from NTNU
  • B.Sc. in electronics engineering from Istanbul University

Vitenskapelig, faglig og kunstnerisk arbeid

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  • Karabiyik, Yucel; Løvstakken, Lasse; Ekroll, Ingvild Kinn; Torp, Hans; Eik-Nes, Sturla. (2017) Quantitative Doppler analysis using color flow imaging and adaptive signal processing. 2017. ISBN 978-82-326-2526-0. Doktoravhandlinger ved NTNU (227).