Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Tobias Wech"'
Autor:
Andreas M. Weng, Julius F. Heidenreich, Corona Metz, Simon Veldhoen, Thorsten A. Bley, Tobias Wech
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Functional lung MRI techniques are usually associated with time-consuming post-processing, where manual lung segmentation represents the most cumbersome part. The aim of this study was to investigate whether deep learning-based se
Externí odkaz:
https://doaj.org/article/2efb463fc97d4d4292416e1be37dbd78
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0122611 (2015)
Mapping the longitudinal relaxation time T1 has widespread applications in clinical MRI as it promises a quantitative comparison of tissue properties across subjects and scanners. Due to the long scan times of conventional methods, however, the use o
Externí odkaz:
https://doaj.org/article/803140aa96064d71a744526661f5a7f8
Autor:
Jonas Kleineisel, Julius F. Heidenreich, Philipp Eirich, Nils Petri, Herbert Köstler, Bernhard Petritsch, Thorsten A. Bley, Tobias Wech
Publikováno v:
Magnetic Resonance in Medicine. 88:2167-2178
Cardiac MRI represents the gold standard to determine myocardial function. However, the current clinical standard protocol, a segmented Cartesian acquisition, is time-consuming and can lead to compromised image quality in the case of arrhythmia or dy
Publikováno v:
Magnetic Resonance in Medicine. 87:972-983
Purpose Image acquisition and subsequent manual analysis of cardiac cine MRI is time-consuming. The purpose of this study was to train and evaluate a 3D artificial neural network for semantic segmentation of radially undersampled cardiac MRI to accel
Autor:
Wiebke Schlötelburg, Theresa Reiter, Markus J. Ankenbrand, Laura M. Schreiber, David Lohr, Tobias Wech
Publikováno v:
Magnetic Resonance in Medicine. 86:2179-2191
Purpose Artificial neural networks show promising performance in automatic segmentation of cardiac MRI. However, training requires large amounts of annotated data and generalization to different vendors, field strengths, sequence parameters, and path
Autor:
Manuel Stich, Philipp Eirich, Julius F Heidenreich, Herbert Köstler, Thorsten A. Bley, Tobias Wech, Peter Nordbeck, Nils Petri
Publikováno v:
Magnetic Resonance in Medicine. 85:2747-2760
PURPOSE Segmented Cartesian acquisition in breath hold represents the current gold standard for cardiac functional MRI. However, it is also associated with long imaging times and severe restrictions in arrhythmic or dyspneic patients. Therefore, we i
Autor:
Manuel Stich, Ning Jin, Julian A. J. Richter, Thorsten A. Bley, Aleksander Kosmala, Tobias Wech, Herbert Köstler, Andreas Max Weng
Publikováno v:
Magnetic Resonance in Medicine. 85:2595-2607
Purpose The aim of this study was to investigate the acceleration potential of wave-CAIPI (controlled aliasing in parallel imaging) for 4D flow MRI, provided that image quality and precision of flow parameters are maintained. Methods The 4D flow MRIs
Autor:
Johannes Portmann, Tobias Wech, Philipp Eirich, Julius F. Heidenreich, Nils Petri, Bernhard Petritsch, Thorsten A. Bley, Herbert Köstler
Publikováno v:
NMR in biomedicineREFERENCES. 35(8)
The purpose of the current study was to implement and validate joint real-time acquisition of functional and late gadolinium-enhancement (LGE) cardiac magnetic resonance (MR) images during free breathing. Inversion recovery cardiac real-time images w
Autor:
Tobias Wech, Herbert Köstler, Julian A. J. Richter, Thorsten Bley, Adrienne E. Campbell-Washburn, Ralf Ringler, M. Stich
Publikováno v:
Magn Reson Imaging
PURPOSE: The gradient system transfer function (GSTF) can be used to describe the dynamic gradient system and applied for trajectory correction in non-Cartesian MRI. This study compares the field camera and the phantom-based methods to measure the GS
Autor:
Ralf Ringler, Manuel Stich, Tobias Wech, Andrew Dewdney, Herbert Köstler, Anne Slawig, Christiane Pfaff, Gudrun Ruyters
Publikováno v:
Magnetic Resonance in Medicine. 83:1519-1527
Purpose: The gradient system transfer function (GSTF) characterizes the frequency transfer behavior of a dynamic gradient system and can be used to correct non‐Cartesian k‐space trajectories. This study analyzes the impact of the gradient coil te