Quantifying iron content in magnetic resonance imaging
Autor: | Caihong Jiang, Kiarash Ghassaban, E. Mark Haacke, Saifeng Liu |
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Rok vydání: | 2019 |
Předmět: |
Iron
Cognitive Neuroscience Ferric Compounds 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Nuclear magnetic resonance In vivo Image Processing Computer-Assisted medicine Animals Humans 0501 psychology and cognitive sciences Magnetite Nanoparticles Brain Chemistry medicine.diagnostic_test Chemistry Myocardium Multiple sclerosis 05 social sciences Brain Neurodegenerative Diseases Magnetic resonance imaging Quantitative susceptibility mapping Human brain medicine.disease Magnetic Resonance Imaging medicine.anatomical_structure Liver Neurology Iron content Superparamagnetic iron oxide 030217 neurology & neurosurgery |
Zdroj: | NeuroImage. 187:77-92 |
ISSN: | 1053-8119 |
Popis: | Measuring iron content has practical clinical indications in the study of diseases such as Parkinson's disease, Huntington's disease, ferritinopathies and multiple sclerosis as well as in the quantification of iron content in microbleeds and oxygen saturation in veins. In this work, we review the basic concepts behind imaging iron using T2, T2*, T2', phase and quantitative susceptibility mapping in the human brain, liver and heart, followed by the applications of in vivo iron quantification in neurodegenerative diseases, iron tagged cells and ultra-small superparamagnetic iron oxide (USPIO) nanoparticles. |
Databáze: | OpenAIRE |
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