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dc.contributor.authorUtkur, Mustafaen_US
dc.contributor.authorMuslu, Yavuzen_US
dc.contributor.authorSarıtaş, Emine Ülküen_US
dc.date.accessioned2018-04-12T11:04:51Z
dc.date.available2018-04-12T11:04:51Z
dc.date.issued2017en_US
dc.identifier.issn0031-9155
dc.identifier.urihttp://hdl.handle.net/11693/37170
dc.description.abstractMagnetic particle imaging (MPI) has been shown to provide remarkable contrast for imaging applications such as angiography, stem cell tracking, and cancer imaging. Recently, there is growing interest in the functional imaging capabilities of MPI, where 'color MPI' techniques have explored separating different nanoparticles, which could potentially be used to distinguish nanoparticles in different states or environments. Viscosity mapping is a promising functional imaging application for MPI, as increased viscosity levels in vivo have been associated with numerous diseases such as hypertension, atherosclerosis, and cancer. In this work, we propose a viscosity mapping technique for MPI through the estimation of the relaxation time constant of the nanoparticles. Importantly, the proposed time constant estimation scheme does not require any prior information regarding the nanoparticles. We validate this method with extensive experiments in an in-house magnetic particle spectroscopy (MPS) setup at four different frequencies (between 250 Hz and 10.8 kHz) and at three different field strengths (between 5 mT and 15 mT) for viscosities ranging between 0.89 mPa • s-15.33 mPa • s. Our results demonstrate the viscosity mapping ability of MPI in the biologically relevant viscosity range.en_US
dc.language.isoEnglishen_US
dc.source.titlePhysics in Medicine and Biologyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1088/1361-6560/62/9/3422en_US
dc.subjectMagnetic nanoparticlesen_US
dc.subjectMagnetic particle imagingen_US
dc.subjectRelaxationen_US
dc.subjectViscosity mappingen_US
dc.titleRelaxation-based viscosity mapping for magnetic particle imagingen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.departmentNational Magnetic Resonance Research Center (UMRAM)en_US
dc.departmentInterdisciplinary Program in Neuroscience (NEUROSCIENCE)en_US
dc.departmentAysel Sabuncu Brain Research Center (BAM)en_US
dc.citation.spage3422en_US
dc.citation.epage3439en_US
dc.citation.volumeNumber62en_US
dc.citation.issueNumber9en_US
dc.identifier.doi10.1088/1361-6560/62/9/3422en_US
dc.publisherInstitute of Physics Publishingen_US
dc.contributor.bilkentauthorUtkur, Mustafa
dc.contributor.bilkentauthorMuslu, Yavuz
dc.contributor.bilkentauthorSarıtaş, Emine Ülkü


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