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001032533 037__ $$aFZJ-2024-06321
001032533 041__ $$aEnglish
001032533 1001_ $$0P:(DE-Juel1)190282$$aBikulov, Timur$$b0$$eCorresponding author$$ufzj
001032533 1112_ $$aInternational Workshop on Magnetic Particle Imaging$$cFlüeli-Ranft$$d2024-03-13 - 2024-03-15$$gIWMPI$$wSwitzerland
001032533 245__ $$aMulticontrasting MPS by dual-tone nonlinearity probing
001032533 260__ $$c2024
001032533 3367_ $$033$$2EndNote$$aConference Paper
001032533 3367_ $$2DataCite$$aOther
001032533 3367_ $$2BibTeX$$aINPROCEEDINGS
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001032533 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1732097242_20163$$xOther
001032533 520__ $$aNovel MPI-based modalities such as multi-contrast imaging or remote viscosity recording require independent measurement of at least two or more magnetic particle types simultaneously. Particle response models based on the Fokker-Plank equation allow independent reconstruction of core and hydrodynamic diameters. However, due to complexity and stochastic character, they remain a black box for explaining the origin of measured nonlinear distortions. A model is required to suggest which frequency lines to measure, which fields to apply for reconstruction of particle core size distribution, and to explicitly show limitations of setup and measurement scheme (e.g., the range of core diameters available for reconstruction). Assuming that the amplitude of the sample magnetic moment and its distortions are determined by the number of excited magnetic moments, and response phase is governed by amplitude-dependent relaxation mechanisms, we show how and under what conditions two-tone systems become the key to independent measurement of the response from particles of different diameters.
001032533 536__ $$0G:(DE-HGF)POF4-5241$$a5241 - Molecular Information Processing in Cellular Systems (POF4-524)$$cPOF4-524$$fPOF IV$$x0
001032533 536__ $$0G:(GEPRIS)445454801$$aDFG project 445454801 - Kombinierter Feldeffekt-/Magnet-Immunsensor-Chip für den markierungsfreien Nachweise von Biomarkern (FEMIC) (445454801)$$c445454801$$x1
001032533 7001_ $$0P:(DE-Juel1)186710$$aEivazi, Faranak$$b1$$ufzj
001032533 7001_ $$0P:(DE-Juel1)128713$$aOffenhäusser, Andreas$$b2$$ufzj
001032533 7001_ $$0P:(DE-Juel1)128697$$aKrause, Hans-Joachim$$b3$$ufzj
001032533 909CO $$ooai:juser.fz-juelich.de:1032533$$pVDB
001032533 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)190282$$aForschungszentrum Jülich$$b0$$kFZJ
001032533 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)186710$$aForschungszentrum Jülich$$b1$$kFZJ
001032533 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)128713$$aForschungszentrum Jülich$$b2$$kFZJ
001032533 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)128697$$aForschungszentrum Jülich$$b3$$kFZJ
001032533 9131_ $$0G:(DE-HGF)POF4-524$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5241$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vMolecular and Cellular Information Processing$$x0
001032533 9141_ $$y2024
001032533 920__ $$lyes
001032533 9201_ $$0I:(DE-Juel1)IBI-3-20200312$$kIBI-3$$lBioelektronik$$x0
001032533 980__ $$aconf
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001032533 980__ $$aI:(DE-Juel1)IBI-3-20200312
001032533 980__ $$aUNRESTRICTED