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pro vyhledávání: '"Kozerke, Sebastian"'
Event-based vision sensors produce an asynchronous stream of events which are triggered when the pixel intensity variation exceeds a predefined threshold. Such sensors offer significant advantages, including reduced data redundancy, micro-second temp
Externí odkaz:
http://arxiv.org/abs/2408.12976
Dynamic nuclear polarization (DNP) involves a polarization transfer from unpaired electrons to hyperfine coupled nuclei and can increase the sensitivity of nuclear magnetic resonance (NMR) signals by several orders of magnitude. The hyperfine couplin
Externí odkaz:
http://arxiv.org/abs/2407.10319
Autor:
von Witte, Gevin, Himmler, Aaron, Hyppönen, Viivi, Jäntti, Jiri, Albannay, Mohammed M., Moilanen, Jani O., Ernst, Matthias, Lehto, Vesa-Pekka, Riikonen, Joakim, Kozerke, Sebastian, Kettunen, Mikko I., Tamarov, Konstantin
Si nanoparticles (NPs) have been actively developed as a hyperpolarized magnetic resonance imaging (MRI) contrast agent with an imaging window close to one hour. However, the progress in the development of NPs has been hampered by the incomplete unde
Externí odkaz:
http://arxiv.org/abs/2401.08320
Dynamic nuclear polarization enables the hyperpolarization of nuclear spins beyond the thermal-equilibrium Boltzmann distribution. However, it is often unclear why the experimentally measured hyperpolarization is below the theoretical achievable maxi
Externí odkaz:
http://arxiv.org/abs/2312.07244
Autor:
van Gorkum, Robbert J. H., Weine, Jonathan L., Segars, William P., Stoeck, Christian T., Kozerke, Sebastian
Magnetic Resonance cardiac diffusion tensor imaging (cDTI) and cardiac intravoxel incoherent motion imaging enables probing of in vivo myofiber architecture and myocardial perfusion surrogates. To study the impact of experimental parameters such as r
Externí odkaz:
http://arxiv.org/abs/2204.07966
Autor:
Federau, Christian, Christensen, Soren, Scherrer, Nino, Ospel, Johanna, Schulze-Zachau, Victor, Schmidt, Noemi, Breit, Hanns-Christian, Maclaren, Julian, Lansberg, Maarten, Kozerke, Sebastian
Publikováno v:
Radiology: Artificial Intelligence 2020; 2(5):e190217
Purpose: To compare the segmentation and detection performance of a deep learning model trained on a database of human-labelled clinical diffusion-weighted (DW) stroke lesions to a model trained on the same database enhanced with synthetic DW stroke
Externí odkaz:
http://arxiv.org/abs/2012.14771
Purpose: To simulate the intravoxel incoherent perfusion magnetic resonance magnitude signal from the motion of blood particles in three realistic vascular network graphs from a mouse brain. Methods: In three networks generated from the cortex of a m
Externí odkaz:
http://arxiv.org/abs/2012.14749
Publikováno v:
Nature Machine Intelligence 2, 228-235 (2020)
Phase-contrast magnetic resonance imaging (MRI) provides time-resolved quantification of blood flow dynamics that can aid clinical diagnosis. Long in vivo scan times due to repeated three-dimensional (3D) volume sampling over cardiac phases and breat
Externí odkaz:
http://arxiv.org/abs/2004.09610
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