9 citations · 10 across the 5 of their papers we have counts for
6 papers · 1 filter
Diffusion pore imaging in the presence of extraporal water
Dominik Ludwig, Frederik Bernd Laun, Karel D. Klika +4
Diffusion-weighted imaging (DWI) is a powerful non-invasive tool which is widely used in clinical routine. Mostly, apparent diffusion coefficient maps are acquired, which cannot be…
NeXtQSM -- A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with hybrid data
Francesco Cognolato, Kieran O'Brien, Jin Jin +4
Deep learning based Quantitative Susceptibility Mapping (QSM) has shown great potential in recent years, obtaining similar results to established non-learning approaches. Many curr…
NMR diffusion pore imaging: Experimental phase detection by double diffusion encoding
Kerstin Demberg, Frederik Bernd Laun, Johannes Windschuh +3
Diffusion pore imaging is an extension of diffusion-weighted nuclear magnetic resonance imaging enabling the direct measurement of the shape of arbitrarily formed, closed pores by…
Experimental determination of pore shapes using phase retrieval from q-space NMR diffraction
Kerstin Demberg, Frederik Bernd Laun, Marco Bertleff +2
This paper presents a novel approach on solving the phase problem in nuclear magnetic resonance (NMR) diffusion pore imaging, a method, which allows imaging the shape of arbitrary…
On the field strength dependence of bi- and triexponential intravoxel incoherent motion (IVIM) parameters in the liver
Andreas Julian Riexinger, Jan Martin, Susanne Rauh +8
Background: Studies on intravoxel incoherent motion (IVIM) imaging are carried out with different acquisition protocols. Purpose: Investigate the dependence of IVIM parameters on t…
Eddy current compensated double diffusion encoded (DDE) MRI
Lars Mueller, Andreas Wetscherek, Tristan Anselm Kuder +1
Purpose: Eddy currents might lead to image distortions in diffusion weighted echo planar imaging. A method is proposed to reduce their effects on double diffusion encoding (DDE) MR…