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  4. GPU accelerated multi-patch reconstruction
 
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GPU accelerated multi-patch reconstruction

Citation Link: https://doi.org/10.15480/882.15073
Publikationstyp
Journal Article
Date Issued
2025-03-14
Sprache
English
Author(s)
Hackelberg, Niklas  
Biomedizinische Bildgebung E-5  
Boberg, Marija  orcid-logo
Biomedizinische Bildgebung E-5  
Knopp, Tobias  
Biomedizinische Bildgebung E-5  
TORE-DOI
10.15480/882.15073
TORE-URI
https://hdl.handle.net/11420/55329
Journal
International journal on magnetic particle imaging  
Volume
11
Issue
1, Suppl 1
Article Number
2503048
Citation
International Journal on Magnetic Particle Imaging 11 (1, Suppl 1): 2503048 (2025)
Publisher DOI
10.18416/IJMPI.2025.2503048
Scopus ID
2-s2.0-105000560076
Publisher
Infinite Science Publishing
The multi-patch approach in magnetic particle imaging is used to capture large field of views. System-matrix-based image reconstruction for this approach often considers a joint system of equations to minimize artifacts. Due to the prohibitive size of this inverse problem, reconstructions rely on iterative algorithms that do not need to keep the entire system matrix in memory. This work shows a graphical processing unit accelerated implementation of a generalized multi-patch operator. The achieved runtime improvements allow for multi-patch reconstructions using different optimization algorithms, which in turn allow for a flexible choice of regularization terms.
DDC Class
621.3: Electrical Engineering, Electronic Engineering
004: Computer Sciences
681.2: Testing, Measuring, Sensing Instruments
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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