Newton-Krylov methods for polychromatic X-Ray CT

Most lab-based X-ray sources are polychromatic, making the acquisition follow a non-linear model. However, widespread reconstruction algorithms, such as FBP and SIRT, assume the reconstruction to be a linear problem, leading to artefacts in the reconstructions. We propose a non-linear optimization technique, Newton-Krylov, to minimize a polychromatic objective function instead. The objective function can also easily be extended with regularisation terms, in a mathematically sound framework. Results on Monte-Carlo simulated projection data show a lower error in the data fidelity term, as well as improved reconstruction quality.

ISBN:978-1-7281-6395-6

Publication year:2020

Keywords:P1 Proceeding

Accessibility:Closed