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Maryam Ahmed

Linacre College

CDT Postgraduate Studentship in Healthcare Innovation
(RCUK Digital Economy Programme grant number EP/G036861/1)

Current Research

Fusion of multiple 3D fetal sonography scans

Fusion of multiple 3D fetal sonography scans can improve the diagnostic field of view and anatomical definition over standard scans as demonstrated in a series of technical and clinical publications by our group. We are interested in the extension of both the methodology and application for fetal medicine applications.

Specifically the short project will involve:

  1. Working with clinicians on defining scanning protocols for fetal scanning and acquiring clinical datasets (a minimum of 10 studies).
  2. Evaluation of the existing fusion methodology software (which was developed for cardiology applications).
  3. Based on (2) extending the current methodology to include automatic identification of good scans for fusion.

If time permits, evaluation of fusion datasets of the same subject by two sonographers to be compared with single conventional scans. The hypothesis is that fusion leads to ultrasound volumes that are invariant to the sonographer.