The human uterine wall is composed of multiple layers, with their microstructure (eg density, vasculature) key for normal physiology and changes related to pathologies such as endometriosis/adenomyosis. But the uterus is also a highly dynamic organ, with its motion important for physiological processes like menstruation and implantation and involved in a range of diseases such as endometriosis. Both are closely connected – with the motion enabled by muscular layers within the uterine wall and the wall structure altered by changes in motion patterns. The typical method to study the uterine wall in-vivo is Diffusion MRI, acquiring various views of the uterus with varying parameters over a range of minutes. This carries both excellent motion information and disrupts the analysis of microstructural data. The goal of this thesis is to develop a combined analysis framework, automatically both extracting motion information from the diffusion data and performing a motion-free diffusion analysis. Please get in touch for more details!
Programming skills. Ideally some image processing experience. Expertise with medical image processing is a bonus but not required.
Contact person: Jana Hutter
