ABSTRACT
PURPOSE: To test the ability of susceptibility weighted images (SWI) and high pass filtered phase images to localize and quantify brain iron. MATERIALS AND METHODS: Magnetic resonance (MR) images of human cadaver brain hemispheres were collected using a gradient echo based SWI sequence at 1.5T. For X-ray fluorescence (XRF) mapping, each brain was cut to obtain slices that reasonably matched the MR images and iron was mapped at the iron K-edge at 50 or 100 microm resolution. Iron was quantified using XRF calibration foils. Phase and iron XRF were averaged within anatomic regions of one slice, chosen for its range of iron concentrations and nearly perfect anatomic correspondence. X-ray absorption spectroscopy (XAS) was used to determine if the chemical form of iron was different in regions with poorer correspondence between iron and phase. RESULTS: Iron XRF maps, SWI, and high pass filtered phase data in nine brain slices from five subjects were visually very similar, particularly in high iron regions. The chemical form of iron could not explain poor matches. The correlation between the concentration of iron and phase in the cadaver brain was estimated as c(Fe) [microg/g tissue] = 850Deltavarpi + 110. CONCLUSION: The phase shift Deltavarpi was found to vary linearly with iron concentration with the best correspondence found in regions with high iron content.
Subject(s)
Brain/pathology , Iron/chemistry , Synchrotrons , X-Ray Absorption Spectroscopy/methods , Alzheimer Disease/pathology , Brain Injuries/pathology , Brain Mapping , Cadaver , Calibration , Formaldehyde/pharmacology , Humans , Models, Statistical , Muscular Atrophy/pathology , Parkinson Disease/pathologyABSTRACT
Rapid-scanning x-ray fluorescence (RS-XRF) is a synchrotron technology that maps multiple metals in tissues by employing unique hardware and software to increase scanning speed. RS-XRF was validated by mapping and quantifying iron, zinc and copper in brain slices from Parkinson's disease (PD) and unaffected subjects. Regions and structures in the brain were readily identified by their metal complement and each metal had a unique distribution. Many zinc-rich brain regions were low in iron and vice versa. The location and amount of iron in brain regions known to be affected in PD agreed with analyses using other methods. Sample preparation is simple and standard formalin-fixed autopsy slices are suitable. RS-XRF can simultaneously and non-destructively map and quantify multiple metals and holds great promise to reveal metal pathologies associated with PD and other neurodegenerative diseases as well as diseases of metal metabolism.
Subject(s)
Algorithms , Brain/metabolism , Metals/analysis , Parkinson Disease/metabolism , Radiographic Image Interpretation, Computer-Assisted/methods , Spectrometry, Fluorescence/methods , Spectrometry, X-Ray Emission/methods , Aged , Aged, 80 and over , Female , Humans , Male , Reference Values , Tissue DistributionABSTRACT
The clinical diagnosis of many neurodegenerative disorders relies primarily or exclusively on observed behaviors rather than measurable physical tests. One of the hallmarks of Alzheimer disease (AD) is the presence of amyloid-containing plaques associated with deposits of iron, copper and/or zinc. Work in other laboratories has shown that iron-rich plaques can be seen in the mouse brain in vivo with magnetic resonance imaging (MRI) using a high-field strength magnet but this iron cannot be visualized in humans using clinical magnets. To improve the interpretation of MRI, we correlated iron accumulation visualized by X-ray fluorescence spectroscopy, an element-specific technique with T1, T2, and susceptibility weighted MR (SWI) in a mouse model of AD. We show that SWI best shows areas of increased iron accumulation when compared to standard sequences.
