Cited by 17Characterization and Applications of Magnetic NanoparticlesGeomagnetism and Paleomagnetism StudiesAdvanced MRI Techniques and Applications

Point spread function analysis of magnetic particles

Schmale, Ingo, Rahmer, Jürgen, Gleich, Bernhard, Borgert, Jörn, Weizenecker, Jürgen·2012·Springer proceedings in physics

Integrity signals

Registry

Crossref · 10.1007/978-3-642-24133-8_46

Cites

5 of 5 references verified0 citation errors · 0 not checkable

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  • Contrast generation in MPI critically depends on parameters that affect the magnetization response, such as SPION size and size distribution.

    “As an important note, contrast generation in MPI critically depends on the parameters that affect the magnetization response like SPION size and size distribution [113, 114].”

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Authors
Schmale, I., Rahmer, J., Gleich, B., Borgert, J., & Weizenecker, J.
Affiliations
  • Philips (Germany) (DE)
  • Karlsruhe University of Applied Sciences (DE)
Corresponding author
Schmale, Ingo
Venue
Springer proceedings in physics
Published
2012
Pages
287-292
ISSN
  • 0930-8989 (ISSN-L)
  • 1867-4941
OpenAlex
W49616149
Cited by
17
References
5
Citations by year
2026: 1 · 2025: 1 · 2022: 2 · 2021: 1 · 2020: 1 · 2019: 4 · 2015: 3 · 2014: 2 · 2013: 2
FWCI
6.68
Type
book chapter
Language
en
Open access
closed
Locations
Springer proceedings in physics (publishedVersion)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Characterization and Applications of Magnetic Nanoparticles
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Geomagnetism and Paleomagnetism Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
point spread function, magnetic particles, magnetization behavior, magnetization curves, magnetic hysteresis, Resovist

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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