scholarly journals High-Resolution MR Imaging of the Human Brainstem In vivo at 7 Tesla

Author(s):  
Andreas Deistung ◽  
Andreas Schäfer ◽  
Ferdinand Schweser ◽  
Uta Biedermann ◽  
Daniel Güllmar ◽  
...  
Keyword(s):  
Author(s):  
Julien Galley ◽  
Reto Sutter ◽  
Christoph Germann ◽  
Florian Wanivenhaus ◽  
Daniel Nanz

Radiology ◽  
1990 ◽  
Vol 176 (2) ◽  
pp. 457-460 ◽  
Author(s):  
J Bittoun ◽  
H Saint-Jalmes ◽  
B G Querleux ◽  
L Darrasse ◽  
O Jolivet ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Fabian Preisner ◽  
Birgit Friedmann-Bette ◽  
Michaela Wehrstein ◽  
Dominik F Vollherbst ◽  
Sabine Heiland ◽  
...  

2013 ◽  
Vol 106 ◽  
pp. S228
Author(s):  
J.J. Bluemink ◽  
M. Philippens ◽  
C.H.J. Terhaard ◽  
F.A. Pameijer ◽  
C.P.J. Raaijmakers ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (8) ◽  
pp. e106311 ◽  
Author(s):  
François De Guio ◽  
Sonia Reyes ◽  
Alexandre Vignaud ◽  
Marco Duering ◽  
Stefan Ropele ◽  
...  
Keyword(s):  
7 Tesla ◽  

2004 ◽  
Vol 17 (3-6) ◽  
pp. 353-358 ◽  
Author(s):  
V. C. Behr ◽  
T. Weber ◽  
T. Neuberger ◽  
M. Vroemen ◽  
N. Weidner ◽  
...  

2020 ◽  
Author(s):  
Alex A. Bhogal ◽  
Tommy A.A. Broeders ◽  
Lisan Morsinkhof ◽  
Mirte Edens ◽  
Sahar Nassirpour ◽  
...  

ABSTRACTMagnetic resonance spectroscopic imaging (MRSI) has the potential to add a layer of understanding of the neurobiological mechanisms underlying brain diseases, disease progression, and treatment efficacy. Limitations related to metabolite fitting of low SNR data, signal variations due to partial volume effects, acquisition and extra-cranial lipid artefacts, along with clinically relevant aspects such as scan-time constraints, are among the factors that hinder the widespread implementation of in vivo MRSI. The aim of this work was to address these factors and to develop an acquisition, reconstruction and post-processing pipeline to derive lipid suppressed metabolite values based on Free Induction Decay (FID-MRSI) measurements made using a 7 tesla MR scanner. Anatomical images were used to perform high-resolution (1mm3) partial-volume correction to account for grey matter, white matter and cerebral-spinal fluid signal contributions. Implementation of automatic quality control thresholds and normalization of metabolic maps from 23 subjects to the MNI standard atlas facilitated the creation of high-resolution average metabolite maps of several clinically relevant metabolites in central brain regions, while accounting for macromolecular distributions. Reported metabolite values include glutamate, choline, (phospo)creatine, myo-inositol, glutathione, N-acetyl aspartyl glutamate(and glutamine) and N-acetyl aspartate. MNI-registered average metabolite maps facilitate group-based analysis; thus offering the possibility to mitigate uncertainty in variable MRSI.


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