PL EN


Preferences help
enabled [disable] Abstract
Number of results
2017 | 131 | 4 | 1108-1110
Article title

Comparison of Iron Oxide-Related MRI Artifacts in Healthy and Neuropathological Human Brain Tissue

Content
Title variants
Languages of publication
EN
Abstracts
EN
The aim of this study is to clarify whether clinical magnetic resonance imaging data can be utilised to evaluate the pathological processes associated with disrupted iron homeostasis, such as neurodegenerative processes or cirrhosis. Although MRI has the potential to become a non-invasive biomarker of such pathology, new quantification methods must be introduced. Our findings confirmed that it is possible to detect significant difference between healthy and pathological tissue from standard T2 weighted MRI protocols.
Keywords
Contributors
author
  • Institute of Measurement Science, SAS, Dubravska cesta 9, 841 05 Bratislava, Slovakia
author
  • Institute of Measurement Science, SAS, Dubravska cesta 9, 841 05 Bratislava, Slovakia
author
  • Institute of Measurement Science, SAS, Dubravska cesta 9, 841 05 Bratislava, Slovakia
author
  • Institute of Measurement Science, SAS, Dubravska cesta 9, 841 05 Bratislava, Slovakia
  • Biomedical Center Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Mala Hora 4, 036 01 Martin, Slovakia
author
  • Institute of Measurement Science, SAS, Dubravska cesta 9, 841 05 Bratislava, Slovakia
author
  • Slovak Medical University, Limbova 12, 833 03 Bratislava, Slovakia
author
  • Biomedical Center Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Mala Hora 4, 036 01 Martin, Slovakia
author
  • Institute of Measurement Science, SAS, Dubravska cesta 9, 841 05 Bratislava, Slovakia
References
  • [1] P. Dusek, M. Dezortova, J. Wuerfel, Int. Rev. Neurobiol. 110, 195 (2013), doi: 10.1016/B978-0-12-410502-7.00010-7
  • [2] C.B. Sirlin, S.B. Reeder, Magn. Reson. Imaging Clin. N. Am. 18, 359 (2010), doi: 10.1016/j.mric.2010.08.014
  • [3] G. Bartzokis, D. Sultzer, J. Cummings, L.E. Holt, D.B. Hance, V.W. Henderson, J. Mintz, Arch. Gen. Psychiatry 57, 47 (2000), doi: 10.1001/archpsyc.57.1.47
  • [4] L.H. You, F. Li, L. Wang, S.E. Zhao, S.M. Wang, L.L. Zhang, L.H. Zhang, X.L. Duan, P. Yu, Y.Z. Chang, Neuroscience 284, 234 (2015), doi: 10.1016/j.neuroscience.2014.09.071
  • [5] J. Galazka-Friedman, A. Friedman, E.R. Bauminger, Hyperfine Interact. 189, 31 (2009), doi: 10.1007/s10751-009-9926-7
  • [6] M. Khalil, C. Langkammer, A. Pichler, D. Pinter, T. Gattringer, G. Bachmaier, S. Ropele, S. Fuchs, C. Enzinger, F. Fazekas, Neurology 84, 24 (2015), doi: 10.1212/WNL.0000000000001679
  • [7] D.A. Burton, Composite Standard Deviations, (accessed: 30 May 2016) http://www.burtonsys.com/climate/composite_standard_deviations.html
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-appv131n4163kz
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.