Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

  Developing an algorithm for detecting placenta abnormalities

   Department of Mechanical Engineering

   Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The placenta plays an important role during pregnancy by transporting nutrients to the fetus. Occasionally the placenta does not function properly, giving rise to a range of issues such as placenta accrete and intrauterine growth restrictions (IUGR). These conditions are routinely diagnosed using MRI by a trained clinician. The diagnostic procedure can be time-consuming and rely heavily on the clinical experience. There is a need for a screening tool that could automatically detect abnormal placenta and flag this up to the clinician for further analysis.

The aim of this project is to develop an algorithm/tool that could accurately reconstruct the 3D shape of the placenta based on MRI and analyse the texture of the image. The work will be based on previously collected MRI scans of normal placenta, placenta accrete and IUGR cases. The student will work closely with a trained clinician on data analysis and tool development to ensure it meets the clinical need.

This is a self-funded research project. We require applicants to have either an undergraduate honours degree (2:1) or MSc (Merit or Distinction) in a relevant science or engineering subject from a reputable institution.

Engineering (12) Medicine (26)

Register your interest for this project

Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.