73 citations · 272 across the 18 of their papers we have counts for
19 papers
Constrained estimation of rotational invariants of the cumulant expansion (RICE) for rapid tensor-valued diffusion MRI
Jinyang Yu, Oliver Gödicke, Frederik B. Laun +10
Purpose: To complement 1.5-minute measurements of common tensor-valued diffusion MRI (dMRI) markers with rapid constrained fitting. Methods: Fast dMRI protocols for obtaining rotat…
Slice-wise quality assessment of high b-value breast DWI via deep learning-based artifact detection
Ameya Markale, Luise Brock, Ihor Horishnyi +10
Diffusion-weighted imaging (DWI) can support lesion detection and characterization in breast magnetic resonance imaging (MRI), however especially high b-value diffusion-weighted ac…
Adapted Foundation Models for Breast MRI Triaging in Contrast-Enhanced and Non-Contrast Enhanced Protocols
Tri-Thien Nguyen, Lorenz A. Kapsner, Tobias Hepp +13
Background: Magnetic resonance imaging (MRI) has high sensitivity for breast cancer detection, but interpretation is time-consuming. Artificial intelligence may aid in pre-screenin…
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…
Design of a non-linear human breast diffusion coil
Feng Jia, Sebastian Littin, Philipp Amrein +8
Diffusion-weighted imaging (DWI) in the female breast is a magnetic resonance imaging (MRI) technique, which may potentially replace or effectively complement both x-ray mammograph…
Contrast-to-noise ratio analysis of microscopic diffusion anisotropy indices in q-space trajectory imaging
Jan Martin, Sebastian Endt, Andreas Wetscherek +5
Diffusion anisotropy in diffusion tensor imaging (DTI) is commonly quantified with normalized diffusion anisotropy indices (DAIs). Most often, the fractional anisotropy (FA) is use…
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images
Jennifer Kamphenkel, Paul F. Jaeger, Sebastian Bickelhaupt +8
End-to-end deep learning improves breast cancer classification on diffusion-weighted MR images (DWI) using a convolutional neural network (CNN) architecture. A limitation of CNN as…
Revealing Hidden Potentials of the q-Space Signal in Breast Cancer
Paul Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun +10
Mammography screening for early detection of breast lesions currently suffers from high amounts of false positive findings, which result in unnecessary invasive biopsies. Diffusion…
NMR-Based Diffusion Lattice Imaging
Frederik Bernd Laun, Tristan Anselm Kuder
Nuclear magnetic resonance (NMR) diffusion experiments are widely employed as they yield information about structures hindering the diffusion process, e.g. about cell membranes. Wh…
Diffusion Pore Imaging by Hyperpolarized Xenon-129 Nuclear Magnetic Resonance
Tristan Anselm Kuder, Peter Bachert, Johannes Windschuh +1
Nuclear magnetic resonance (NMR) diffusion measurements are widely used to derive parameters indirectly related to the microstructure of biological tissues and porous media. Howeve…
Diffusion pore imaging with generalized temporal gradient profiles
Frederik Bernd Laun, Tristan Anselm Kuder
In porous material research, one main interest of nuclear magnetic resonance diffusion (NMR) experiments is the determination of the shape of pores. While it has been a longstandin…
NMR Based Diffusion Pore Imaging by Double Wave Vector Measurements
Tristan Anselm Kuder, Frederik Bernd Laun
In porous material research, one main interest of nuclear magnetic resonance (NMR) diffusion experiments is the determination of the exact shape of pores. It has been a longstandin…
Determination of the Defining Boundary in Nuclear Magnetic Resonance Diffusion Experiments
Frederik Bernd Laun, Tristan Anselm Kuder, Wolfhard Semmler +1
While nuclear magnetic resonance diffusion experiments are widely used to resolve structures confining the diffusion process, it has been elusive whether they can exactly reveal th…
Brownian Motion of Black Holes in Dense Nuclei
David Merritt, Peter Berczik, Frederik Laun
We evaluate the Brownian motion of a massive particle ("black hole") at the center of a galaxy using N-body simulations. Our galaxy models have power-law central density cusps like…