Registration Based SIRT: A reconstruction algorithm for 4D CT

TitleRegistration Based SIRT: A reconstruction algorithm for 4D CT
Publication TypeConference Paper
Year of Publication2017
AuthorsV. Van Nieuwenhove, J. De Beenhouwer, J. Vlassenbroeck, M. Moesen, M. Brennan, and J. Sijbers
Conference Name7th Conference on Industrial Computed Tomography
Conference LocationLeuven, Belgium

The goal of 4D computed tomography (4D CT) is to study the temporal deformation of a 3D sample with a sufficiently high temporal and spatial resolution. Conventionally, the sample is sequentially scanned, resulting in datasets of successive time frames. Each of these datasets is then independently reconstructed. This framework results in a trade-off between the temporal resolution and the signal-to-noise ratio (SNR) of the reconstructed images. The proposed registration based simultaneous iterative reconstruction technique (RBSIRT) allows shortening the acquisition time per time frame, leading to improved temporal resolution at comparable SNR. To this end, the algorithm estimates the deformation field between different time frames, which allows incorporating projections of other time frames into the reconstruction of a particular time frame. The technique was validated on numeric simulations and on a real dynamic experiment of a polyurethane foam sample. The reconstructions obtained with RBSIRT have a significantly higher SNR compared to the SNR of conventional 4D reconstructions.

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