Tackling domain shift in fetal and newborn brain MR imaging: deep learning for super-resolution reconstruction of T1 and T2 maps

Saturday 3rd June 2023

Organization CIBM Center for Biomedical Imaging, Unviersity of Lausanne
Location Lausanne, Switzerland
Title Tackling domain shift in fetal and newborn brain MR imaging: deep learning for super-resolution reconstruction of T1 and T2 maps
URL https://cibm.ch/wp-content/uploads/PaediatricDomainShiftsOpening_2PhDStudent-CIBM-SP-UNIL-CHUV_2022.pdf
Email Address meritxell.bachcuadra@unil.ch
Description This PhD thesis is funded by the Swiss National Research Foundation in Switzerland which supported the research project "Tackling domain shifts in pediatric neuroimaging: bridging advanced computational MR techniques and clinical practice" (205320-215641). The project tackles these two important domain shifts in paediatric MRI, linked to the magnetic field strengths and to population gaps. The PhD candidate will develop deep learning methods for motion estimation and self-supervised super-resolution reconstruction of T1 and T2 images in both fetal and new-born populations. The developed methods will be initially applied at high field (1.5T and 3T) and then translated to low-field (0.55T) MRI.