Publication
Title
Region-based motion-compensated iterative reconstruction technique for dynamic computed tomography
Author
Abstract
Current state-of-the-art motion-based dynamic computed tomography reconstruction techniques estimate the deformation by considering motion models in the entire object volume although occasionally the proper change is local. In this article, we address this issue by introducing the region-based Motion-compensated Iterative Reconstruction Technique (rMIRT). It aims to accurately reconstruct the object being locally deformed during the scan, while identifying the deformed regions consistently with the motion models. Moreover, the motion parameters that correspond to the deformation in those areas are also estimated. In order to achieve these goals, we consider a mathematical optimization problem whose objective function depends on the reconstruction, the deformed regions and the motion parameters. While dynamic CT methods that specifically locate the regional changes in the object volume are not widely found in the literature, our method exploits the analytical derivative towards these changing regions, which allows for efficient reconstruction using gradient-based optimizers.
Language
English
Source (journal)
Proceedings. - Piscataway, NJ, 2002, currens
Source (book)
20th IEEE International Symposium on Biomedical Imaging (ISBI), APR 18-21, 2023, Cartagena, Colombia
Publication
New york : Ieee , 2023
ISBN
978-1-6654-7358-3
DOI
10.1109/ISBI53787.2023.10230608
Volume/pages
(2023) , 4 p.
ISI
001062050500285
Full text (Publisher's DOI)
Full text (open access)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Novel methods and 4D-XCT tools for in situ characterisation of materials and their microstructural changes during functional testing.
X-ray reconstruction of foam microstructure formation.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 04.12.2023
Last edited 17.06.2024
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