Calibration-free relaxation-based multi-color magnetic particle imaging

buir.contributor.authorMuslu, Yavuz
buir.contributor.authorUtkur, Mustafa
buir.contributor.authorDemirel, Ömer Burak
buir.contributor.authorSarıtaş, Emine Ülkü
dc.citation.epage1931en_US
dc.citation.issueNumber8en_US
dc.citation.spage1920en_US
dc.citation.volumeNumber37en_US
dc.contributor.authorMuslu, Yavuzen_US
dc.contributor.authorUtkur, Mustafaen_US
dc.contributor.authorDemirel, Ömer Buraken_US
dc.contributor.authorSarıtaş, Emine Ülküen_US
dc.date.accessioned2019-02-21T16:05:40Z
dc.date.available2019-02-21T16:05:40Z
dc.date.issued2018en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.departmentNational Magnetic Resonance Research Center (UMRAM)
dc.departmentInterdisciplinary Program in Neuroscience (NEUROSCIENCE)
dc.description.abstractMagnetic particle imaging (MPI) is a novel imaging modality with important potential applications, such as angiography, stem cell tracking, and cancer imaging. Recently, there have been efforts to increase the functionality of MPI via multi-color imaging methods that can distinguish the responses of different nanoparticles, or nanoparticles in different environmental conditions. The proposed techniques typically rely on extensive calibrations that capture the differences in the harmonic responses of the nanoparticles. In this paper, we propose a method to directly estimate the relaxation time constant of the nanoparticles from the MPI signal, which is then used to generate a multi-color relaxation map. The technique is based on the underlying mirror symmetry of the adiabatic MPI signal when the same region is scanned back and forth. We validate the proposed method via simulations, and via experiments on our in-house magnetic particle spectrometer setup at 10.8 kHz and our in-house MPI scanner at 9.7 kHz. Our results show that nanoparticles can be successfully distinguished with the proposed technique, without any calibration or prior knowledge about the nanoparticles.
dc.description.sponsorshipManuscript received January 2, 2018; revised March 12, 2018; accepted March 16, 2018. Date of publication March 22, 2018; date of current version July 31, 2018. This work was supported in part by the Scientific and Technological Research Council of Turkey under Grant TUBITAK 114E167, in part by the European Commission through FP7 Marie Curie Career Integration under Grant PCIG13-GA-2013-618834, in part by the TUBA-GEBIP 2015 Program of the Turkish Academy of Sciences, and in part by the BAGEP 2016 Award of the Science Academy. (Corresponding author: Yavuz Muslu.) Y. Muslu, M. Utkur, and O. B. Demirel are with the Department of Electrical and Electronics Engineering, Bilkent University, 06800 Ankara, Turkey, and also with the National Magnetic Resonance Research Center (UMRAM), Bilkent University, 06800 Ankara, Turkey (e-mail: ymuslu@ee.bilkent.edu.tr).
dc.identifier.doi10.1109/TMI.2018.2818261
dc.identifier.issn0278-0062
dc.identifier.urihttp://hdl.handle.net/11693/50266
dc.language.isoEnglish
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.isversionofhttps://doi.org/10.1109/TMI.2018.2818261
dc.relation.projectEuropean Commission, EC: FP7 - Türkiye Bilimler Akademisi, TÜBA - Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAK: TUBITAK - Bilim Akademisi - Bilkent Üniversitesi - PCIG13-GA-2013-618834 - 114E167
dc.source.titleIEEE Transactions on Medical Imagingen_US
dc.subjectDirect estimationen_US
dc.subjectMagnetic particle imagingen_US
dc.subjectMirror symmetryen_US
dc.subjectMulti-Color MPIen_US
dc.subjectNanoparticle relaxationen_US
dc.titleCalibration-free relaxation-based multi-color magnetic particle imagingen_US
dc.typeArticleen_US

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