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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Sack, I.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (23/23 displayed)
- 2024On the relationship between viscoelasticity and water diffusion in soft biological tissues.citations
- 2022Mechanical behavior of the hippocampus and corpus callosum: An attempt to reconcile ex vivo with in vivo and micro with macro properties.citations
- 2021Real-Time Multifrequency MR Elastography of the Human Brain Reveals Rapid Changes in Viscoelasticity in Response to the Valsalva Maneuver.citations
- 2020Cardiac-gated steady-state multifrequency magnetic resonance elastography of the brain: Effect of cerebral arterial pulsation on brain viscoelasticity.citations
- 2019Sensitivity of multifrequency magnetic resonance elastography and diffusion-weighted imaging to cellular and stromal integrity of liver tissue.citations
- 2018Combining viscoelasticity, diffusivity and volume of the hippocampus for the diagnosis of Alzheimer's disease based on magnetic resonance imaging.citations
- 2015Tabletop magnetic resonance elastography for the measurement of viscoelastic parameters of small tissue samples.citations
- 2014High-resolution mechanical imaging of the kidney.citations
- 2014Wideband MRE and static mechanical indentation of human liver specimen: sensitivity of viscoelastic constants to the alteration of tissue structure in hepatic fibrosis.citations
- 2014In vivo time-harmonic multifrequency elastography of the human liver.citations
- 2013Compression-sensitive magnetic resonance elastography.citations
- 2013Isovolumetric elasticity alteration in the human heart detected by in vivo time-harmonic elastography.citations
- 2012Fractal network dimension and viscoelastic powerlaw behavior: I. A modeling approach based on a coarse-graining procedure combined with shear oscillatory rheometry.citations
- 2010Viscoelasticity-based MR elastography of skeletal muscle.citations
- 2010Viscoelasticity-based staging of hepatic fibrosis with multifrequency MR elastography.citations
- 2010Viscoelastic properties of liver measured by oscillatory rheometry and multifrequency magnetic resonance elastography.citations
- 2008Non-invasive measurement of brain viscoelasticity using magnetic resonance elastography.citations
- 2008Assessment of liver viscoelasticity using multifrequency MR elastography.citations
- 2007Three-dimensional analysis of shear wave propagation observed by in vivo magnetic resonance elastography of the brain.citations
- 2007Noninvasive assessment of the rheological behavior of human organs using multifrequency MR elastography: a study of brain and liver viscoelasticity.citations
- 2006Shear wave group velocity inversion in MR elastography of human skeletal muscle.citations
- 2003Electromagnetic actuator for generating variably oriented shear waves in MR elastography.citations
- 2002Analysis of wave patterns in MR elastography of skeletal muscle using coupled harmonic oscillator simulations.
Places of action
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article
Three-dimensional analysis of shear wave propagation observed by in vivo magnetic resonance elastography of the brain.
Abstract
Dynamic magnetic resonance elastography (MRE) is a non-invasive method for the quantitative determination of the mechanical properties of soft tissues in vivo. In MRE, shear waves are generated in the tissue and visualized using phase-sensitive MR imaging methods. The resulting two-dimensional (2-D) wave images can reveal in-plane elastic properties when possible geometrical biases of the wave patterns are taken into account. In this study, 3-D MRE experiments of in vivo human brain are analyzed to gain knowledge about the direction of wave propagation and to deduce in-plane elastic properties. The direction of wave propagation was determined using a new algorithm which identifies minimal wave velocities along rays from the surface into the brain. It was possible to quantify biases of the elastic parameters due to projections onto coronal, sagittal and transversal image planes in 2-D MRE. It was found that the in-plane shear modulus is increasingly overestimated when the image slice is displaced from narrow slabs of 2-5cm through the center of the brain. The mean shear modulus of the brain was deduced from 4-D wave data with about 3.5kPa. Using the proposed slice positions in 2-D MRE, this shear modulus can be reproduced with an acceptable error within a fraction of the full 3-D examination time.