Calibration-free relaxation-based multi-color magnetic particle imaging
buir.contributor.author | Muslu, Yavuz | |
buir.contributor.author | Utkur, Mustafa | |
buir.contributor.author | Demirel, Ömer Burak | |
buir.contributor.author | Sarıtaş, Emine Ülkü | |
dc.citation.epage | 1931 | en_US |
dc.citation.issueNumber | 8 | en_US |
dc.citation.spage | 1920 | en_US |
dc.citation.volumeNumber | 37 | en_US |
dc.contributor.author | Muslu, Yavuz | en_US |
dc.contributor.author | Utkur, Mustafa | en_US |
dc.contributor.author | Demirel, Ömer Burak | en_US |
dc.contributor.author | Sarıtaş, Emine Ülkü | en_US |
dc.date.accessioned | 2019-02-21T16:05:40Z | |
dc.date.available | 2019-02-21T16:05:40Z | |
dc.date.issued | 2018 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.department | National Magnetic Resonance Research Center (UMRAM) | |
dc.department | Interdisciplinary Program in Neuroscience (NEUROSCIENCE) | |
dc.description.abstract | Magnetic 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.sponsorship | Manuscript 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.doi | 10.1109/TMI.2018.2818261 | |
dc.identifier.issn | 0278-0062 | |
dc.identifier.uri | http://hdl.handle.net/11693/50266 | |
dc.language.iso | English | |
dc.publisher | Institute of Electrical and Electronics Engineers | |
dc.relation.isversionof | https://doi.org/10.1109/TMI.2018.2818261 | |
dc.relation.project | European 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.title | IEEE Transactions on Medical Imaging | en_US |
dc.subject | Direct estimation | en_US |
dc.subject | Magnetic particle imaging | en_US |
dc.subject | Mirror symmetry | en_US |
dc.subject | Multi-Color MPI | en_US |
dc.subject | Nanoparticle relaxation | en_US |
dc.title | Calibration-free relaxation-based multi-color magnetic particle imaging | en_US |
dc.type | Article | en_US |
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