iFIND- 2. Further Imaging

  • Research type

    Research Study

  • Full title

    Intelligent Fetal Imaging and Diagnosis- 2. Further Ultrasound and MR Imaging

  • IRAS ID

    149577

  • Contact name

    Silvia Giampieri

  • Contact email

    silvia.1.giampieri@kcl.ac.uk

  • Sponsor organisation

    King's College London

  • Duration of Study in the UK

    6 years, 1 months, 24 days

  • Research summary

    Ultrasound, which passes sound waves into the body to create pictures from their reflections, is commonly used to check that babies in the womb (or fetuses) are healthy. Although every pregnant mother in the country has a scan at around 20 weeks, not all of the babies who have problems are picked up on these ultrasound scans. Despite substantial improvement in detection rates over the last few years there is still regional and hospital-specific variation in prenatal detection rates of major anomalies, as well as limitations in current ultrasound technology including restricted views and poor image quality.

    We are proposing new technologies that allow scanning to be carried out with not just one probe (the device which takes the ultrasound picture), but up to four of these that can be used at the same time and which move automatically to the right place to get the best pictures. This will mean we get a detailed picture of the whole baby which can then be analysed in an automatic way using advanced computer technologies to ensure we do not miss babies with potential problems. This should mean a high quality scanning service across the country which is not dependent on local expertise, and fewer babies who have major problems will be missed.

    In this initial phase we hope to improve fetal ultrasound imaging through automated image processing. To do this we will combine conventional ultrasound imaging from routine scans with more detailed, but also more expensive and time consuming, MRI to build a fetal atlas. The fetal atlas will be used to help computational software learn the anatomy of the fetus and become better at recognising normal structures. This can then be used to automatically identify structures in the fetus as normal or abnormal during future ultrasound scanning and help diagnose anomalies.

  • REC name

    London - London Bridge Research Ethics Committee

  • REC reference

    14/LO/1806

  • Date of REC Opinion

    10 Dec 2014

  • REC opinion

    Further Information Favourable Opinion