MoVIT: A tomographic reconstruction framework for 4D-CT

TitleMoVIT: A tomographic reconstruction framework for 4D-CT
Publication TypeJournal Article
Year of Publication2017
AuthorsV. Van Nieuwenhove, J. De Beenhouwer, J. Vlassenbroeck, M. Brennan, and J. Sijbers
JournalOptics Express
Volume25
Issue16
Pagination19236-19250
Abstract

4D computed tomography (4D-CT) aims to visualise the temporal dynamics of a 3D sample with a sufficiently high temporal and spatial resolution. Successive time frames are typically obtained by sequential scanning, followed by independent reconstruction of each 3D dataset. Such an approach requires a large number of projections for each scan to obtain images with sufficient quality (in terms of artefacts and SNR). Hence, there is a clear trade-off between the rotation speed of the gantry (i.e. time resolution) and the quality of the reconstructed images.
In this paper, the MotionVector-based Iterative Technique (MoVIT) is introduced which reconstructs a particular time frame by including the projections of neighbouring time frames as well. It is shown that such a strategy improves the trade-off between the rotation speed and the SNR.
The framework is tested on both numerical simulations and on 4D X-ray CT datasets of polyurethane foam under compression.
Results show that reconstructions obtained with MoVIT have a significantly higher SNR compared to the SNR of conventional 4D reconstructions.

DOI10.1364/OE.25.019236
Research area: