People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Sinkus, Ralph
King's College London
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (15/15 displayed)
- 2024Biomechanical Assessment of Liver Integrity: Prospective Evaluation of Mechanical Versus Acoustic <scp>MR</scp> Elastographycitations
- 2020On the origin of frequency power-law for tissue mechanics in elastography
- 2019Magnetic resonance elastography of skeletal muscle deep tissue injurycitations
- 2019Magnetic resonance elastography of skeletal muscle deep tissue injury
- 2015MR Elastography Can Be Used to Measure Brain Stiffness Changes as a Result of Altered Cranial Venous Drainage During Jugular Compressioncitations
- 2014Tumour biomechanical response to the vascular disrupting agent ZD6126 in vivo assessed by magnetic resonance elastography.citations
- 2014Viscoelastic parameters for quantifying liver fibrosiscitations
- 2013Measuring anisotropic muscle stiffness properties using elastographycitations
- 2013Curl-based Finite Element Reconstruction of the Shear Modulus Without Assuming Local Homogeneitycitations
- 2011Using static preload with magnetic resonance elastography to estimate large strain viscoelastic properties of bovine livercitations
- 2011Viscoelastic properties of the tongue and soft palate using MR elastographycitations
- 2009Magnetic resonance elastography in the liver at 3 Tesla using a second harmonic approachcitations
- 2008In vivo brain viscoelastic properties measured by magnetic resonance elastographycitations
- 2007MR elastography of breast lesionscitations
- 2005Imaging anisotropic and viscous properties of breast tissue by magnetic resonance-elastographycitations
Places of action
Organizations | Location | People |
---|
document
On the origin of frequency power-law for tissue mechanics in elastography
Abstract
<jats:p>The imaginary part of the complex shear modulus in tissue is not negligible. In liver the phase angle (ranging between 0 and 1) is about 0.2 while in kidney it is about 0.3. The presence of dispersion can have its origin either in a constitutive loss—i.e., absorption of energy—or in scattering of the wave and hence represents an apparent loss. Since dispersion in tissue follows over a wide range a frequency power-law, fractional order derivative models such as the springpot model are well suited to fit the data in the clinically accessible range of 30–200Hz. They, however, do not provide a fundamental understanding of whether loss is due to friction and hence conversion to heat, or due to material heterogeneities and thus scattering. Models such as ODA are able to relate the observable frequency power-law to the spatial distribution of scatterers. If loss in low-frequency elastography were solely due to scattering, this would render the method extremely powerful in characterizing for instance blood vessel architecture in oncology. To distinguish whether the measured prominant loss in porcine tissue (phase angle ∼0.4) is originating from absorption or scattering, we use MR-Spectroscopy to measure absolute temperature via the resonance-frequency-shift between water and methylene, at precisions better than 0.1 °C. Temperature should increase theoretically by about 1/2 °C at an amplitude of 10 μm, 500 Hz, and an exposure of 1000 s, which is not observed. This points towards scattering as the main mechanism for wave attenuation.</jats:p>