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| Hauptseite > Publikationsdatenbank > Passive mixer model for multi-contrast magnetic particle spectroscopy > print |
| Hauptseite > Publikationsdatenbank > Passive mixer model for multi-contrast magnetic particle spectroscopy > print |
| 001 | 1005770 | ||
| 005 | 20230929112521.0 | ||
| 024 | 7 | _ | |a 10.18416/IJMPI.2023.2303087 |2 doi |
| 024 | 7 | _ | |a 10.18416/ijmpi.2023.2303087 |2 doi |
| 024 | 7 | _ | |a 2128/34228 |2 Handle |
| 037 | _ | _ | |a FZJ-2023-01623 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 500 |
| 100 | 1 | _ | |a Bikulov, Timur |0 P:(DE-Juel1)190282 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a International Workshop on Magnetic Particle Imaging |g IWMPI |c Aachen |d 2023-03-22 - 2023-03-24 |w Germany |
| 245 | _ | _ | |a Passive mixer model for multi-contrast magnetic particle spectroscopy |
| 260 | _ | _ | |a Lübeck |c 2023 |b Infinite Science Publishing |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Contribution to a conference proceedings |0 PUB:(DE-HGF)8 |2 PUB:(DE-HGF) |m contrib |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1680246665_31395 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a For realizing multi-contrast MPI with different types of SuperParamagnetic Nanoparticles (SPN), reconstruction of the particles’ core diameter distribution is required for various points in space. We propose a principle for distinguishing signals from SPNs of different diameters, which exploits the offset field concept already used in MPI. We show that precise reconstruction of Magnetization Curve (MC) is the key to precise reconstruction of core diameter distribution, as all information about distribution is stored in the curvature. A Passive Mixer Model is proposed in order to uniquely relate the MC to the intermodulation products in the magnetization spectra. The model does not require small signal assumption and hence does not lose accuracy in the reconstruction under large excitation fields. We show that a number of useful practical conclusions can be drawn from this model. |
| 536 | _ | _ | |a 5241 - Molecular Information Processing in Cellular Systems (POF4-524) |0 G:(DE-HGF)POF4-5241 |c POF4-524 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 700 | 1 | _ | |a Offenhäusser, Andreas |0 P:(DE-Juel1)128713 |b 1 |u fzj |
| 700 | 1 | _ | |a Krause, Hans-Joachim |0 P:(DE-Juel1)128697 |b 2 |u fzj |
| 773 | _ | _ | |a 10.18416/ijmpi.2023.2303087 |0 PERI:(DE-600)2893231-6 |n 1 |p 2303087 |t International journal on magnetic particle imaging |v 9 |y 2023 |x 2365-9033 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1005770/files/Paper.pdf |y OpenAccess |
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| 914 | 1 | _ | |y 2023 |
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