80 research outputs found
Influenza A positive but H1N1 negative myocarditis in a patient coming from a high outbreak region of new influenza
We present the case of a 21 year-old man holidaying on the Spanish island of Mallorca,
a region of high outbreak of infections with a new influenza A/H1N1 virus. Symptomatic
influenza A infection, but not H1N1 positive, led to myocarditis after intimate contact with
a woman with positive H1N1 titer. The electrocardiogram showed T-wave inversions in II, III,
aVF and V5, V6. Serum chemistry showed elevated levels of troponin T, increased creatine
kinase (CK) and CK myocardial band. Cardiac magnetic resonance imaging revealed mid-
-myocardial and subepicardial hyperintensities in the lateral wall, and subepicardial and
mid-myocardial areas of gadolinium enhancement in the inferior wall. Despite intimate contact
with an H1N1 positive patient, the analyses on H1N1 (H1 A/Brisbane/59/07, H1 A/
/California/7/09swine) were negative, but were positive for common influenza (H3 A/Brisbane/
/10/07). Myocarditis is a rare clinical manifestation of influenza A infection. (Cardiol J 2011; 18,
4: 441–445
Policing of the NoG20-Protests in Hamburg in July 2017 : results of a structured protest observation
1032 Prognostic impact of contrast-enhanced CMR early after acute ST-segment elevation myocardial infarction (STEMI) in a regional STEMI network
Guide-point modeling for the assessment of left ventricular function: comparison with the standard summation of slices method
Mechanical properties and fracture behavior of TiB2+z thin films
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205 Late enhancement in contrast-enhanced cardiac MRI facilitates the characterization of different etiologies in non-ischemic myocardial disease
Evaluating the Performance of Ultra-Low-Field MRI for In-vivo 3D Current Density Imaging of the Human Head
Magnetic fields associated with currents flowing in tissue can be measured
non-invasively by means of zero-field-encoded ultra-low-field magnetic
resonance imaging (ULF MRI) enabling current density imaging (CDI) and possibly
conductivity mapping of human head tissues. Since currents applied to a human
are limited by safety regulations and only a small fraction of the current
passes through the relatively high-resistive skull, a sufficient
signal-to-noise ratio (SNR) may be difficult to obtain when using this method.
In this work, we study the relationship between the image SNR and the SNR of
the field reconstructions from zero-field-encoded data. We evaluate these
results for two existing ULF MRI scanners, one ultra-sensitive single-channel
system and one whole-head multi-channel system, by simulating sequences
necessary for current-density reconstruction. We also derive realistic
current-density and magnetic-field estimates from finite-element-method
simulations based on a three-compartment head model. We found that existing
ULF-MRI systems reach sufficient SNR to detect intra-cranial current
distributions with statistical uncertainty below 10%. However, they also reveal
that image artifacts influence the reconstruction quality. Further, our
simulations indicate that current-density reconstruction in the scalp requires
a resolution less than 5 mm and demonstrate that the necessary sensitivity
coverage can be accomplished by multi-channel devices.Comment: 18 pages, 8 figures. This project has received funding from the
European Union's Horizon 2020 research and innovation programme under grant
agreement No 68686
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