Magnetic Particle Imaging (MPI) is a promising tomographic method to visualize the distribution of superparamagnetic materials in three-dimensions. For encoding, a strong gradient represented by a ...
%0 Journal Article
%1 vogel2020parallel
%A Vogel, Patrick
%A Kampf, Thomas
%A Herz, Stefan
%A Rückert, Martin A.
%A Bley, Thorsten A.
%A Behr, Volker C.
%B Review of Scientific Instruments
%D 2020
%I American Institute of Physics
%J Review of Scientific Instruments
%K article mpi myown
%N 4
%P 045117--
%R 10.1063/1.5126108
%T Parallel magnetic particle imaging
%U https://doi.org/10.1063/1.5126108
%V 91
%X Magnetic Particle Imaging (MPI) is a promising tomographic method to visualize the distribution of superparamagnetic materials in three-dimensions. For encoding, a strong gradient represented by a ...
@article{vogel2020parallel,
abstract = {Magnetic Particle Imaging (MPI) is a promising tomographic method to visualize the distribution of superparamagnetic materials in three-dimensions. For encoding, a strong gradient represented by a ...},
added-at = {2020-04-25T11:20:38.000+0200},
author = {Vogel, Patrick and Kampf, Thomas and Herz, Stefan and Rückert, Martin A. and Bley, Thorsten A. and Behr, Volker C.},
biburl = {https://www.bibsonomy.org/bibtex/241c7dfa3ce1b5a9ca24c87e49d60a970/pvogel},
booktitle = {Review of Scientific Instruments},
comment = {doi: 10.1063/1.5126108},
doi = {10.1063/1.5126108},
interhash = {31e1f37c7419b09ec2c55b3f34025505},
intrahash = {41c7dfa3ce1b5a9ca24c87e49d60a970},
issn = {00346748},
journal = {Review of Scientific Instruments},
keywords = {article mpi myown},
month = apr,
number = 4,
pages = {045117--},
publisher = {American Institute of Physics},
timestamp = {2020-04-25T11:20:38.000+0200},
title = {Parallel magnetic particle imaging},
url = {https://doi.org/10.1063/1.5126108},
volume = 91,
year = 2020
}