Tomographic imaging using the nonlinear response of magnetic particles
By Bernhard Gleich, Jürgen Weizenecker. Nature, 2005
1,998 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/496be1fc9ecebf10ee46707ac2c29bd65ad29c2f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Jon Dobson
- Carola-Bibiane Schönlieb
- Ozan Öktem
- Simon Robert Arridge
- Steven M. Conolly
- S. Jones
- Nguyen T. K. Thanh
- Patrick W. Goodwill
In Electrical and Electronic Engineering
- Simon Robert Arridge
- Carola-Bibiane Schönlieb
- Ozan Öktem
- Steven M. Conolly
- S. Jones
- Nguyen T. K. Thanh
- Patrick W. Goodwill
- Peter Maass
In Radiology, Nuclear Medicine and Imaging
- Simon Robert Arridge
- Carola-Bibiane Schönlieb
- Steven M. Conolly
- S. Jones
- Nguyen T. K. Thanh
- Patrick W. Goodwill
- Peter Maass
- Ozan Öktem
Citations in the corpus
- Multidimensional X-Space Magnetic Particle Imaging (2011, neutral): “This applied field is typically a sinusoid [1], [14], [16], whose frequency we term the “fundamental frequency” [7], [14].”
- The X-Space Formulation of the Magnetic Particle Imaging Process: 1-D Signal, Resolution, Bandwidth, SNR, SAR, and Magnetostimulation (2010, background): “Because we cannot perfectly geometrically isolate the two coils, existing systems isolate with passive notch and high-pass filters [1], [3], [15].”
- Progress in applications of magnetic nanoparticles in biomedicine (2009, methodology): “Using this approach, Gleich and Weizenecker demonstrated a 2D spatial resolution of better than 1 mm, and a detection limit for Fe of ca 100 µmol l−1 [ 102 ].”
- Application of Light Scattering Techniques to Nanoparticle Characterization and Development (2018, background): “Early use of these NPs for medical imaging was described as a solution for the limiting factor in MRI, the background signal produced by the host tissue, but they can also be used for magnetic particle imaging (MPI), being capable of providing a higher sensitivity and a better spatial resolution (Gl”
- Solving inverse problems using data-driven models (2019, background): “Reconstructing the resulting spatial distribution c(x) of those nanoparticles is based on exploiting the non-linear magnetization behaviour of ferromagnetic nanoparticles (Gleich and Weizenecker 2005).”
- Biomedical Nanomagnetics: A Spin Through Possibilities in Imaging, Diagnostics, and Therapy (2010, neutral): “The concept [260] of MPI is straightforward as it depends on the nonlinearity of the magnetization curve for a superparamagnetic material and the fact that the magnetization is eventually saturated for any finite field, , greater than the saturation field, , i.”