Publication
Title
Registration based SIRT : a reconstruction algorithm for 4D CT
Author
Abstract
The goal of 4D computed tomography (4D CT) is to study the temporal behavior 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 (RB SIRT) allows shortening the acquisition time per time frame, thereby improving the temporal resolution, without decreasing the SNR. To this end, the algorithm estimates the deformation field between different time frames, which allows adding projections of other time frames into the reconstruction of a particular time frame. The technique was validated on a real dynamic experiment of a polyurethane foam sample. The reconstructions obtained with RB SIRT have a significantly higher SNR with respect to conventional reconstructions.
Language
English
Source (journal)
Online e-journal of nondestructive testing. - -
Source (book)
7th Conference on Industrial Computed Tomography (ICT 2017), Leuven, Belgium
Publication
2017
ISSN
1435-4934
Volume/pages
(2017) , 2 p.
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
Quantitative tomographic segmentation of magnetic resonance images
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identifier
Creation 04.10.2017
Last edited 22.08.2023
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