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Verfasst von:Storath, Martin [VerfasserIn]   i
Titel:Edge preserving and noise reducing reconstruction for Magnetic Particle Imaging
Verf.angabe:Martin Storath, Christina Brandt, Martin Hofmann, Tobias Knopp, Johannes Salamon, Alexander Weber, and Andreas Weinmann
Jahr:2017
Jahr des Originals:2016
Umfang:12 S.
Fussnoten:Date of publication July 22, 2016 ; Gesehen am 27.08.2020
Titel Quelle:Enthalten in: Institute of Electrical and Electronics EngineersIEEE transactions on medical imaging
Ort Quelle:New York, NY : Institute of Electrical and Electronics Engineers, 1982
Jahr Quelle:2017
Band/Heft Quelle:36(2017), 1, Seite 74-85
ISSN Quelle:1558-254X
Abstract:Magnetic particle imaging (MPI) is an emerging medical imaging modality which is based on the non-linear response of magnetic nanoparticles to an applied magnetic field. It is an important feature of MPI that even fast dynamic processes can be captured for 3D volumes. The high temporal resolution in turn leads to large amounts of data which have to be handled efficiently. But as the system matrix of MPI is non-sparse, the image reconstruction gets computationally demanding. Therefore, currently only basic image reconstruction methods such as Tikhonov regularization are used. However, Tikhonov regularization is known to oversmooth edges in the reconstructed image and to have only a limited noise reducing effect. In this work, we develop an efficient edge preserving and noise reducing reconstruction method for MPI. As regularization model, we propose to use the nonnegative fused lasso model, and we devise a discretization that is adapted to the acquisition geometry of the preclinical MPI scanner considered in this work. We develop a customized solver based on a generalized forward-backward scheme which is particularly suitable for the dense and not well-structured system matrices in MPI. Already a non-optimized prototype implementation processes a 3D volume within a few seconds so that processing several frames per second seems amenable. We demonstrate the improvement in reconstruction quality over the state-of-the-art method in an experimental medical setup for an in-vitro angioplasty of a stenosis.
DOI:doi:10.1109/TMI.2016.2593954
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1109/TMI.2016.2593954
 DOI: https://doi.org/10.1109/TMI.2016.2593954
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:3D volumes
 acquisition geometry
 Angioplasty
 applied magnetic field
 basic image reconstruction
 biomagnetism
 Biomedical imaging
 edge preserving regularization
 fast dynamic processes
 forward backward splitting
 fused lasso
 image reconstruction
 image resolution
 Magnetic resonance imaging
 medical image processing
 nanomagnetics
 nanomedicine
 noise reducing reconstruction
 preclinical MPI scanner
 Tikhonov regularization
K10plus-PPN:1572478837
Verknüpfungen:→ Zeitschrift

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