Literature DB >> 15733784

Imaging iron stores in the brain using magnetic resonance imaging.

E Mark Haacke1, Norman Y C Cheng, Michael J House, Qiang Liu, Jaladhar Neelavalli, Robert J Ogg, Asadullah Khan, Muhammad Ayaz, Wolff Kirsch, Andre Obenaus.   

Abstract

For the last century, there has been great physiological interest in brain iron and its role in brain function and disease. It is well known that iron accumulates in the brain for people with Huntington's disease, Parkinson's disease, Alzheimer's disease, multiple sclerosis, chronic hemorrhage, cerebral infarction, anemia, thalassemia, hemochromatosis, Hallervorden-Spatz, Down syndrome, AIDS and in the eye for people with macular degeneration. Measuring the amount of nonheme iron in the body may well lead to not only a better understanding of the disease progression but an ability to predict outcome. As there are many forms of iron in the brain, separating them and quantifying each type have been a major challenge. In this review, we present our understanding of attempts to measure brain iron and the potential of doing so with magnetic resonance imaging. Specifically, we examine the response of the magnetic resonance visible iron in tissue that produces signal changes in both magnitude and phase images. These images seem to correlate with brain iron content, perhaps ferritin specifically, but still have not been successfully exploited to accurately and precisely quantify brain iron. For future quantitative studies of iron content we propose four methods: correlating R2' and phase to iron content; applying a special filter to the phase to obtain a susceptibility map; using complex analysis to extract the product of susceptibility and volume content of the susceptibility source; and using early and late echo information to separately predict susceptibility and volume content.

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Year:  2005        PMID: 15733784     DOI: 10.1016/j.mri.2004.10.001

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  359 in total

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Authors:  Karin Shmueli; Stephen J Dodd; Tie-Qiang Li; Jeff H Duyn
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3.  Differential effects of age and history of hypertension on regional brain volumes and iron.

Authors:  Karen M Rodrigue; E Mark Haacke; Naftali Raz
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4.  Characterizing the contrast of white matter and grey matter in high-resolution phase difference enhanced imaging of human brain at 3.0 T.

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Journal:  Eur Radiol       Date:  2014-11-14       Impact factor: 5.315

5.  A calorie-restricted diet decreases brain iron accumulation and preserves motor performance in old rhesus monkeys.

Authors:  Erik K Kastman; Auriel A Willette; Christopher L Coe; Barbara B Bendlin; Kris J Kosmatka; Donald G McLaren; Guofan Xu; Elisa Canu; Aaron S Field; Andrew L Alexander; Mary Lou Voytko; T Mark Beasley; Ricki J Colman; Richard H Weindruch; Sterling C Johnson
Journal:  J Neurosci       Date:  2010-06-09       Impact factor: 6.167

6.  High-field MRI of brain iron.

Authors:  Jozef H Duyn
Journal:  Methods Mol Biol       Date:  2011

7.  Evaluation of parenchymal neuro-behçet disease by using susceptibility-weighted imaging.

Authors:  S Albayram; S Saip; Z I Hasiloglu; M Teke; E Ceyhan; M Tutuncu; H Selcuk; A Kina; A Siva
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8.  Ex vivo T2 relaxation: associations with age-related neuropathology and cognition.

Authors:  Robert J Dawe; David A Bennett; Julie A Schneider; Sue E Leurgans; Aikaterini Kotrotsou; Patricia A Boyle; Konstantinos Arfanakis
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9.  Susceptibility MRI captures nigral pathology in patients with parkinsonian syndromes.

Authors:  Mechelle M Lewis; Guangwei Du; Jennifer Baccon; Amanda M Snyder; Ben Murie; Felicia Cooper; Christy Stetter; Lan Kong; Christopher Sica; Richard B Mailman; James R Connor; Xuemei Huang
Journal:  Mov Disord       Date:  2018-05-14       Impact factor: 10.338

10.  Distinct progression pattern of susceptibility MRI in the substantia nigra of Parkinson's patients.

Authors:  Guangwei Du; Mechelle M Lewis; Christopher Sica; Lu He; James R Connor; Lan Kong; Richard B Mailman; Xuemei Huang
Journal:  Mov Disord       Date:  2018-05-14       Impact factor: 10.338

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