Complex motion modelling in cancer imaging

Abstract

In this talk I will present our recent research efforts and advances in the field of motion modelling of complex organs in oncological applications, as part of the Cancer Research UK / EPSRC Cancer Imaging Centre at Oxford. I will focus on a number of novel non-linear image registration methodologies developed for motion compensation in single- and multi-modality lung imaging, which is a particularly challenging application due to the physiological complexity of the respiration process, such as the interaction between rigid structures, interfacing organs, and large deformations involved. We are currently working on two major challenges in this field: 1. Correcting for the sliding motion of the lungs, by modelling locally discontinuous deformations, and 2. Formulating computational tractable solutions for image alignment between different types of imaging modalities.