A denoiser scaling technique for plug-and-play MPI reconstruction

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buir.contributor.authorGüngör, Alper
buir.contributor.authorAşkın, Barış
buir.contributor.authorSarıtaş, Emine Ülkü
buir.contributor.authorÇukur, Tolga
buir.contributor.orcidGüngör, Alper|0000-0002-3043-9124
buir.contributor.orcidAşkın, Barış|0000-0001-5810-8581
buir.contributor.orcidSarıtaş, Emine Ülkü|0000-0001-8551-1077
buir.contributor.orcidÇukur, Tolga|0000-0002-2296-851X
dc.citation.epage2303041-4en_US
dc.citation.issueNumber1
dc.citation.spage2303041-1
dc.citation.volumeNumber9
dc.contributor.authorGüngör, Alper
dc.contributor.authorAşkın, Barış
dc.contributor.authorAlptekin Soydan, D.
dc.contributor.authorSarıtaş, Emine Ülkü
dc.contributor.authorTop, C. B.
dc.contributor.authorÇukur, Tolga
dc.date.accessioned2024-03-18T07:41:06Z
dc.date.available2024-03-18T07:41:06Z
dc.date.issued2023-03-19
dc.departmentDepartment of Electrical and Electronics Engineering
dc.departmentNational Magnetic Resonance Research Center (UMRAM)
dc.description.abstractImage reconstruction based on the system matrix in magnetic particle imaging (MPI) involves an ill-posed inverse problem, which is often solved using iterative optimization procedures that use regularization. Reconstruction performance is highly dependent on the quality of information captured by the regularization prior. Learning-based methods have been recently introduced that significantly improve prior information in MPI reconstruction. Yet, these methods can perform suboptimally under drifts in the image scale between the training and test sets. In this study, we assess the influence of scale drifts on the performance a recent plug-ang-play method (PP-MPI) that uses a pre-trained denoiser. We introduce a new denoiser scaling technique that improves reliability of PP-MPI against deviations in image scale. The proposed technique enables high quality reconstructions that are robust against scale drifts between training and testing sets.
dc.description.provenanceMade available in DSpace on 2024-03-18T07:41:06Z (GMT). No. of bitstreams: 1 A_Denoiser_Scaling_Technique_for_Plug-and-Play_MPI_Reconstruction.pdf: 430025 bytes, checksum: fbac1604bc25d4896b294add622bf08c (MD5) Previous issue date: 2023-03-19en
dc.identifier.doi10.18416/IJMPI.2023.2303041
dc.identifier.eissn2365-9033
dc.identifier.urihttps://hdl.handle.net/11693/114857
dc.language.isoen
dc.publisherInfinite Science Publishing
dc.relation.isversionofhttps://doi.org/10.18416/IJMPI.2023.2303041
dc.rightsCC BY 4.0 DEED (Attribution 4.0 International)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.source.titleInternational Journal on Magnetic Particle Imaging
dc.titleA denoiser scaling technique for plug-and-play MPI reconstruction
dc.typeArticle

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