Project title: Pre- and Post-operative Quantitative Assessment of the Fetal Brain from MRI
Project description: Congenital brain defects are disorders of the brain that appear during fetal development and are present at birth. Many congenital brain defects have a very poor prognosis, with little hope for definitive curative care. Some cases of congenital brain defects can nonetheless be prevented, while the severity of others can be reduced by prenatal interventions including fetal surgery.
The long-term vision driving this project is to provide an automated brain assessment system to improve parental counselling, surgical planning and surgical follow-up. The specific objectives of this project are: 1) Implement and evaluate available fetal brain MRI Slice-To-Volume Reconstruction (SVR) for motion-free 3D MRI reconstruction; 2) Develop an automatic or semi-automatic fetal brain parcellation algorithm working on reconstructed normal as well as pathological fetal brains; 3) Design an indication-specific fetal brain assessment system relying on the fetal brain parcellations; 4) Evaluate the proposed algorithms on datasets available in the primary partner institution; 5) Correlate the proposed fetal brain assessment system with long-term outcomes.
The selected candidate will be able to take advantage of the unique set-up of the TRABIT network, in particular through secondments (external research stays) at Icometrix (Belgium) and MUW (Austria), as well as network-wide training events. The research will be performed in close collaboration with Fetal Medicine Unit (FMU) at University College London Hospitals (UCLH).
Your profile: You should have a master’s degree in applied mathematics, physics, computer science, or electrical engineering, or a similar degree with an equivalent academic level. A genuine interest in medical image computing, machine learning and/or signal processing is a must, as is the ability (or the willingness to learn) to program in C++, Matlab or Python. Prior exposure to medical imaging is not required. Ability to travel for secondments in the TRABIT network is essential.
Successful applications are subject to academic approval; the selected candidate will be enrolled in one of the PhD programme at UCL.