Parameter robustness analysis for system function reconstruction

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buir.contributor.authorArol, Abdullah Ömer
buir.contributor.authorÖzaslan, Ali Alper
buir.contributor.authorAlpman, Aslı
buir.contributor.authorSarıtaş, Emine Ülkü
dc.citation.epage3en_US
dc.citation.issueNumber2 Suppl 1en_US
dc.citation.spage1en_US
dc.citation.volumeNumber6en_US
dc.contributor.authorArol, Abdullah Ömer
dc.contributor.authorÖzaslan, Ali Alper
dc.contributor.authorAlpman, Aslı
dc.contributor.authorSarıtaş, Emine Ülkü
dc.date.accessioned2021-02-12T09:54:53Z
dc.date.available2021-02-12T09:54:53Z
dc.date.issued2020
dc.departmentAysel Sabuncu Brain Research Center (BAM)en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.departmentInterdisciplinary Program in Neuroscience (NEUROSCIENCE)en_US
dc.departmentNational Magnetic Resonance Research Center (UMRAM)en_US
dc.description.abstractThe quality of images in system function reconstruction (SFR) depends on an extensive calibration scan that acquires the system matrix (SM). A change in parameters of the scanner, trajectory, or magnetic nanoparticle requires the acquisition of a new SM. In this work, we analyze the parameter robustness of SFR with simulations. We investigate the effect of utilizing an existing SM in the case of a change in the aforementioned parameters. The results show that a new calibration scan is not needed, as long as the change is sufficiently small.en_US
dc.description.sponsorshipThis work was supported by the Scientific and Techno-logical Research Council of Turkey (TUBITAK 217S069).We gratefully acknowledge the support of NVIDIA Cor-poration through a GPU grant.en_US
dc.identifier.doi10.18416/IJMPI.2020.2009045en_US
dc.identifier.issn2365-9033
dc.identifier.urihttp://hdl.handle.net/11693/55103
dc.language.isoEnglishen_US
dc.publisherInfinite Science Publishingen_US
dc.relation.isversionofhttps://dx.doi.org/10.18416/IJMPI.2020.2009045en_US
dc.source.titleInternational Journal on Magnetic Particle Imagingen_US
dc.titleParameter robustness analysis for system function reconstructionen_US
dc.typeArticleen_US

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