@article{ZellerMuellerGutberletetal.2013,
  author    = {Zeller, Mario and M{\"u}ller, Alexander and Gutberlet, Marcel and Nichols, Thomas and Hahn, Dietbert and K{\"o}stler, Herbert and Bartsch, Andreas J.},
  title     = {Boosting BOLD fMRI by K-Space Density Weighted Echo Planar Imaging},
  series = {PLoS ONE},
  journal   = {PLoS ONE},
  doi       = {10.1371/journal.pone.0074501},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-97233},
  year      = {2013},
  abstract  = {Functional magnetic resonance imaging (fMRI) has become a powerful and influential method to non-invasively study neuronal brain activity. For this purpose, the blood oxygenation level-dependent (BOLD) effect is most widely used. T2* weighted echo planar imaging (EPI) is BOLD sensitive and the prevailing fMRI acquisition technique. Here, we present an alternative to its standard Cartesian recordings, i.e. k-space density weighted EPI, which is expected to increase the signal-to-noise ratio in fMRI data. Based on in vitro and in vivo pilot measurements, we show that fMRI by k-space density weighted EPI is feasible and that this new acquisition technique in fact boosted spatial and temporal SNR as well as the detection of local fMRI activations. Spatial resolution, spatial response function and echo time were identical for density weighted and conventional Cartesian EPI. The signal-to-noise ratio gain of density weighting can improve activation detection and has the potential to further increase the sensitivity of fMRI investigations.},
  language  = {en}
}
@article{HeidenreichWengDonhauseretal.2019,
  author    = {Heidenreich, Julius F. and Weng, Andreas M. and Donhauser, Julian and Greiser, Andreas and Chow, Kelvin and Nordbeck, Peter and Bley, Thorsten A. and K{\"o}stler, Herbert},
  title     = {T1- and ECV-mapping in clinical routine at 3 T: differences between MOLLI, ShMOLLI and SASHA},
  series = {BMC Medical Imaging},
  volume    = {19},
  journal   = {BMC Medical Imaging},
  doi       = {10.1186/s12880-019-0362-0},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-201999},
  pages     = {59},
  year      = {2019},
  abstract  = {Background T1 mapping sequences such as MOLLI, ShMOLLI and SASHA make use of different technical approaches, bearing strengths and weaknesses. It is well known that obtained T1 relaxation times differ between the sequence techniques as well as between different hardware. Yet, T1 quantification is a promising tool for myocardial tissue characterization, disregarding the absence of established reference values. The purpose of this study was to evaluate the feasibility of native and post-contrast T1 mapping methods as well as ECV maps and its diagnostic benefits in a clinical environment when scanning patients with various cardiac diseases at 3 T. Methods Native and post-contrast T1 mapping data acquired on a 3 T full-body scanner using the three pulse sequences 5(3)3 MOLLI, ShMOLLI and SASHA in 19 patients with clinical indication for contrast enhanced MRI were compared. We analyzed global and segmental T1 relaxation times as well as respective extracellular volumes and compared the emerged differences between the used pulse sequences. Results T1 times acquired with MOLLI and ShMOLLI exhibited systematic T1 deviation compared to SASHA. Myocardial MOLLI T1 times were 19\% lower and ShMOLLI T1 times 25\% lower compared to SASHA. Native blood T1 times from MOLLI were 13\% lower than SASHA, while post-contrast MOLLI T1-times were only 5\% lower. ECV values exhibited comparably biased estimation with MOLLI and ShMOLLI compared to SASHA in good agreement with results reported in literature. Pathology-suspect segments were clearly differentiated from remote myocardium with all three sequences. Conclusion Myocardial T1 mapping yields systematically biased pre- and post-contrast T1 times depending on the applied pulse sequence. Additionally calculating ECV attenuates this bias, making MOLLI, ShMOLLI and SASHA better comparable. Therefore, myocardial T1 mapping is a powerful clinical tool for classification of soft tissue abnormalities in spite of the absence of established reference values.},
  language  = {en}
}
@article{RichterWechWengetal.2020,
  author    = {Richter, Julian A. J. and Wech, Tobias and Weng, Andreas M. and Stich, Manuel and Weick, Stefan and Breuer, Kathrin and Bley, Thorsten A. and K{\"o}stler, Herbert},
  title     = {Free-breathing self-gated 4D lung MRI using wave-CAIPI},
  series = {Magnetic Resonance in Medicine},
  volume    = {84},
  journal   = {Magnetic Resonance in Medicine},
  number    = {6},
  doi       = {10.1002/mrm.28383},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-218075},
  pages     = {3223 -- 3233},
  year      = {2020},
  abstract  = {Purpose The aim of this study was to compare the wave-CAIPI (controlled aliasing in parallel imaging) trajectory to the Cartesian sampling for accelerated free-breathing 4D lung MRI. Methods The wave-CAIPI k-space trajectory was implemented in a respiratory self-gated 3D spoiled gradient echo pulse sequence. Trajectory correction applying the gradient system transfer function was used, and images were reconstructed using an iterative conjugate gradient SENSE (CG SENSE) algorithm. Five healthy volunteers and one patient with squamous cell carcinoma in the lung were examined on a clinical 3T scanner, using both sampling schemes. For quantitative comparison of wave-CAIPI and standard Cartesian imaging, the normalized mutual information and the RMS error between retrospectively accelerated acquisitions and their respective references were calculated. The SNR ratios were investigated in a phantom study. Results The obtained normalized mutual information values indicate a lower information loss due to acceleration for the wave-CAIPI approach. Average normalized mutual information values of the wave-CAIPI acquisitions were 10\% higher, compared with Cartesian sampling. Furthermore, the RMS error of the wave-CAIPI technique was lower by 19\% and the SNR was higher by 14\%. Especially for short acquisition times (down to 1 minute), the undersampled Cartesian images showed an increased artifact level, compared with wave-CAIPI. Conclusion The application of the wave-CAIPI technique to 4D lung MRI reduces undersampling artifacts, in comparison to a Cartesian acquisition of the same scan time. The benefit of wave-CAIPI sampling can therefore be traded for shorter examinations, or enhancing image quality of undersampled 4D lung acquisitions, keeping the scan time constant.},
  language  = {en}
}