Optimising image acquisition for four-dimensional cone beam computed tomography

Abstract: 

Four-dimensional cone beam computed tomography (4D CBCT) is a medical imaging technology used in diagnosing and visualising lung cancer, and is used as part of radiotherapy. 4D CBCT scanners capable of varying their image acquisition behaviour are becoming more widespread. However, only very basic models exist for adjusting the scanner behaviour in response to the patient’s breathing. Current methods do not respond sufficiently to the patient’s breathing pattern. This can lead to poor image quality and high radiation dose from imaging. In this presentation I will outline a mixed integer programming model to optimise the process of image acquisition. I will present some results for this and other methods.

Christopher Rock is an Honours student under the supervision of Prof Gary Froyland.