mr microscopy
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Author(s):  
Tomohisa Okada ◽  
Shinya Handa ◽  
Bill Ding ◽  
Shin‐ichi Urayama ◽  
Koji Fujimoto ◽  
...  

Radiology ◽  
2020 ◽  
Vol 297 (3) ◽  
pp. 672-674
Author(s):  
Žiga Snoj ◽  
Igor Serša ◽  
Urša Matičič ◽  
Erika Cvetko ◽  
Gregor Omejec

NeuroImage ◽  
2020 ◽  
Vol 223 ◽  
pp. 117285
Author(s):  
Govind Nair ◽  
Stephen Dodd ◽  
Seung-Kwon Ha ◽  
Alan P Koretsky ◽  
Daniel S Reich

2020 ◽  
Vol 33 (11) ◽  
Author(s):  
Marine A.C. Moussu ◽  
Stanislav B. Glybovski ◽  
Redha Abdeddaim ◽  
Christophe Craeye ◽  
Stefan Enoch ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Itziar Perez-Terol ◽  
Cesar Rios-Navarro ◽  
Elena de Dios ◽  
Jose M. Morales ◽  
Jose Gavara ◽  
...  

AbstractDelayed enhancement cardiovascular magnetic resonance (MR) is the gold-standard for non-invasive assessment after myocardial infarction (MI). MR microscopy (MRM) provides a level of detail comparable to the macro objective of light microscopy. We used MRM and correlative histopathology to identify infarct and remote tissue in contrast agent-free multi-sequence MRM in swine MI hearts. One control group (n = 3 swine) and two experimental MI groups were formed: 90 min of ischemia followed by 1 week (acute MI = 6 swine) or 1 month (chronic MI = 5 swine) reperfusion. Representative samples of each heart were analysed by contrast agent-free multi-sequence (T1-weighting, T2-weighting, T2*-weighting, T2-mapping, and T2*-mapping). MRM was performed in a 14-Tesla vertical axis imager (Bruker-AVANCE 600 system). Images from MRM and the corresponding histopathological stained samples revealed differences in signal intensities between infarct and remote areas in both MI groups (p-value < 0.001). The multivariable models allowed us to precisely classify regions of interest (acute MI: specificity 92% and sensitivity 80%; chronic MI: specificity 100% and sensitivity 98%). Probabilistic maps based on MRM images clearly delineated the infarcted regions. As a proof of concept, these results illustrate the potential of MRM with correlative histopathology as a platform for exploring novel contrast agent-free MR biomarkers after MI.


2019 ◽  
Vol 32 (4) ◽  
pp. 437-447
Author(s):  
Sébastien Bär ◽  
Thomas Oerther ◽  
Matthias Weigel ◽  
Angelina Müller ◽  
Patrick Hucker ◽  
...  

2018 ◽  
Vol 81 (4) ◽  
pp. 2688-2701 ◽  
Author(s):  
Petr Dusek ◽  
Vince Istvan Madai ◽  
Till Huelnhagen ◽  
Erik Bahn ◽  
Radoslav Matej ◽  
...  

2018 ◽  
Vol 269 ◽  
pp. 51-55 ◽  
Author(s):  
U. Mikac ◽  
I. Serša ◽  
M. Žlahtič Zupanc ◽  
M. Humar ◽  
M. Merela ◽  
...  
Keyword(s):  

2018 ◽  
Vol 52 ◽  
pp. 24-32 ◽  
Author(s):  
R. Kamberger ◽  
K. Göbel-Guéniot ◽  
J. Gerlach ◽  
O.G. Gruschke ◽  
J. Hennig ◽  
...  

2018 ◽  
Vol 81 (2) ◽  
pp. 921-933 ◽  
Author(s):  
Benedikt Hager ◽  
Sonja M. Walzer ◽  
Xeni Deligianni ◽  
Oliver Bieri ◽  
Andreas Berg ◽  
...  

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