Respiratory motion modelling for radiotherapy
Respiratory motion can cause errors and uncertainties when planning and delivery radiotherapy treatments to targets in the thorax and abdomen.
At RTIC we are developing models of respiratory motion which include breath-to-breath variability, methods of fitting these models to a variety of imaging data including (unsorted) 4DCT, multi-slice MRI, and CBCT projection data, and tools for using these models to improve future radiotherapy treatments.
Yuliang Huang
PhD student
I am a PhD student in the RTIC group. I am keen to research general deep learning and optimization techniques, as well as their application in more specific domains such as image registration/reconstruction, automatic treatment planning and adaptation of radiotherapy, and more.
