Publication
Title
Delta-mri : direct deformation estimation from longitudinally acquired k-space data
Author
Abstract
Longitudinal MRI is an important diagnostic imaging tool for evaluating the effects of treatment and monitoring disease progression. However, MRI, and particularly longitudinal MRI, is known to be time consuming. To accelerate imaging, compressed sensing (CS) theory has been applied to exploit sparsity, both on single image as on image sequence level. State-of-the-art CS methods however, are generally focused on image reconstruction, and consider analysis (e.g., alignment, change detection) as a post-processing step. In this study, we propose DELTA-MRI, a novel framework to estimate longitudinal image changes directly from a reference image and subsequently acquired, strongly sub-sampled MRI k-space data. In contrast to state-of-the-art longitudinal CS based imaging, our method avoids the conventional multi-step process of image reconstruction of subsequent images, image alignment, and deformation vector field computation. Instead, the set of follow-up images, along with motion and deformation vector fields that describe their relation to the reference image, are estimated in one go. Experiments show that DELTA-MRI performs significantly better than the state-of-the-art in terms of the normalized reconstruction error.
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/ISBI53787.2023.10230697
Volume/pages
(2023) , 4 p.
ISI
001062050500374
Full text (Publisher's DOI)
Full text (open access)
The author-created version that incorporates referee comments and is the accepted for publication version Available from 01.03.2024
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
X-ray reconstruction of foam microstructure formation.
Novel methods and 4D-XCT tools for in situ characterisation of materials and their microstructural changes during functional testing.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 04.12.2023
Last edited 09.12.2023
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