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            "title": "Voxel-based analysis of R2* maps in the healthy human brain",
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                    "firstName": "Patrice",
                    "lastName": "Péran"
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                    "firstName": "Valentina",
                    "lastName": "Brainovich"
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                    "lastName": "Celsis"
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                    "firstName": "Carlo",
                    "lastName": "Caltagirone"
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                    "firstName": "Umberto",
                    "lastName": "Sabatini"
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            "abstractNote": "PURPOSE: To develop a voxel-based analysis of an R2* map of healthy human brain that is automatic, reproducible, and realizable in a single examination on a 3T MR imager. Such a tool could be useful to measure iron accumulation in neurodegenerative diseases. MATERIALS AND METHODS: In all, 18 healthy subjects underwent MR imaging at a field strength of 3T: 1) six consecutive T2*-weighted gradient-echo volumes were acquired using a segmented echo-planar imaging sequence and 2) a conventional dual-echo turbo spin echo sequence was also applied to acquire T2-weighted images. Images were realigned and spatial correction was performed using a template brain dataset with SPM2. For each subject we performed a voxel-by-voxel nonlinear least-squares fitting of the data acquired at the six echo times to obtain a monoexponential signal decay curve. The reproducibility and sensitivity to age variation were assessed by voxel-based analysis. RESULTS: The reproducibility tests in whole brain analysis showed little R2* variation. Furthermore, the statistical analysis, performed on each brain voxel, revealed a significant positive correlation between age and MR values located in regions where a slow and constant age-related iron deposition is known. CONCLUSION: Our method, combining data acquisition and data processing, demonstrates the feasibility of voxel-based analysis on an R2* map and affords a high degree of sensitivity and good reproducibility while maintaining high spatial resolution.",
            "publicationTitle": "Journal of Magnetic Resonance Imaging: JMRI",
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            "pages": "1413-1420",
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                    "firstName": "Yiping P",
                    "lastName": "Du"
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                    "firstName": "Jody",
                    "lastName": "Tanabe"
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            "abstractNote": "PURPOSE: To improve the visibility of veins in susceptibility-weighted imaging (SWI) using a multi-gradient echo acquisition. MATERIALS AND METHODS: A three-dimensional multi-echo gradient-echo pulse sequence was developed for simultaneous acquisition of MR angiography and multiple volumes of MR venography (MRV) of the brain. The first echo was acquired for MR angiography using the time-of-flight in-flow effect. The subsequent echoes were acquired for SWI-based MRV at different echo times (TEs). RESULTS: Multiple MRV datasets acquired at different TEs were complementary in depicting the venous vasculature. MRV data acquired at a longer TE had a higher venous contrast and stronger susceptibility weighting, whereas MRV data acquired at a shorter TE had a higher signal-to-noise ratio and less severe off-resonance artifacts. Three-dimensional mapping of local field gradients was calculated and the transverse relaxivity (R(2)) at each voxel was quantified using multi-TE exponential fitting. CONCLUSION: Multi-echo acquisition of MR angiography and venography demonstrated improved visibility of venous vasculature especially in regions with severe field inhomogeneity compared with conventional acquisition of SWI and dual-echo acquisition of MR angiography and venography.",
            "publicationTitle": "Journal of Magnetic Resonance Imaging: JMRI",
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            "title": "Susceptibility weighted imaging (SWI)",
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                    "creatorType": "author",
                    "firstName": "E M",
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                {
                    "creatorType": "author",
                    "firstName": "Yingbiao",
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                    "firstName": "Yu-Chung N",
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            "abstractNote": "Susceptibility differences between tissues can be utilized as a new type of contrast in MRI that is different from spin density, T1-, or T2-weighted imaging. Signals from substances with different magnetic susceptibilities compared to their neighboring tissue will become out of phase with these tissues at sufficiently long echo times (TEs). Thus, phase imaging offers a means of enhancing contrast in MRI. Specifically, the phase images themselves can provide excellent contrast between gray matter (GM) and white matter (WM), iron-laden tissues, venous blood vessels, and other tissues with susceptibilities that are different from the background tissue. Also, for the first time, projection phase images are shown to demonstrate tissue (vessel) continuity. In this work, the best approach for combining magnitude and phase images is discussed. The phase images are high-pass-filtered and then transformed to a special phase mask that varies in amplitude between zero and unity. This mask is multiplied a few times into the original magnitude image to create enhanced contrast between tissues with different susceptibilities. For this reason, this method is referred to as susceptibility-weighted imaging (SWI). Mathematical arguments are presented to determine the number of phase mask multiplications that should take place. Examples are given for enhancing GM/WM contrast and water/fat contrast, identifying brain iron, and visualizing veins in the brain.",
            "publicationTitle": "Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine",
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            "pages": "612-8",
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            "DOI": "10.1002/mrm.20198",
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            "url": "http://www.ncbi.nlm.nih.gov/pubmed/15334582",
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            "title": "High-resolution diffusion tensor imaging in the substantia nigra of de novo Parkinson disease",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "D E",
                    "lastName": "Vaillancourt"
                },
                {
                    "creatorType": "author",
                    "firstName": "M B",
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                    "firstName": "J",
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                },
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                    "creatorType": "author",
                    "firstName": "I",
                    "lastName": "Abraham"
                },
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                    "firstName": "D M",
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                },
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                    "creatorType": "author",
                    "firstName": "X J",
                    "lastName": "Zhou"
                },
                {
                    "creatorType": "author",
                    "firstName": "C L",
                    "lastName": "Comella"
                },
                {
                    "creatorType": "author",
                    "firstName": "D M",
                    "lastName": "Little"
                }
            ],
            "abstractNote": "BACKGROUND: In the midbrain of patients with Parkinson disease (PD), there is a selective loss of dopaminergic neurons in the ventrolateral and caudal substantia nigra (SN). In a mouse model of PD, investigators have administered 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) and found that measures derived using diffusion tensor imaging (DTI) were correlated with the number of dopamine neurons lost following intoxication. METHODS: Twenty-eight subjects (14 with early stage, untreated PD and 14 age- and gender-matched controls) were studied with a high-resolution DTI protocol at 3 Tesla using an eight-channel phase array coil and parallel imaging to study specific segments of degeneration in the SN. Regions of interest were drawn in the rostral, middle, and caudal SN by two blinded and independent raters. RESULTS: Fractional anisotropy (FA) was reduced in the SN of subjects with PD compared with controls (p < 0.001). Post hoc analysis identified that reduced FA for patients with PD was greater in the caudal compared with the rostral region of interest (p < 0.00001). A receiver operator characteristic analysis in the caudal SN revealed that sensitivity and specificity were 100% for distinguishing patients with PD from healthy subjects. Findings were consistent across both raters. CONCLUSIONS: These findings provide evidence that high resolution diffusion tensor imaging in the substantia nigra distinguishes early stage, de novo patients with Parkinson disease (PD) from healthy individuals on a patient by patient basis and has the potential to serve as a noninvasive early biomarker for PD.",
            "publicationTitle": "Neurology",
            "publisher": "",
            "place": "",
            "date": "Apr 21, 2009",
            "volume": "72",
            "issue": "16",
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            "pages": "1378-1384",
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                    "type": 1
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                    "tag": "Anisotropy",
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                    "tag": "Dopamine",
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                {
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            "abstractNote": "BACKGROUND: Parkinson disease (PD) is a progressive neurodegenerative disorder in which the major pathologic substrate is a loss of dopaminergic neurons from the lateral substantia nigra pars compacta (SNc). Our objective was to determine whether, in patients with early PD, SNc changes evident on MRI sequences sensitive to iron content corresponded anatomically to the pathologic changes reported previously, and to correlate these changes to the duration and severity of clinical manifestations of PD. METHODS: Twenty-six untreated patients with early PD and 13 age- and gender-matched control subjects had MRI with a 3 tesla magnet using a multiple gradient echo sequence designed for rapid single-scan mapping of the proton transverse relaxation rate (R(2)*). R(2)* was calculated for midbrain and forebrain basal ganglia regions. Clinical features were rated with the Unified Parkinson's Disease Rating Scale. RESULTS: A difference in measured R(2)* values between patients and controls was observed in the lateral SNc (p <or= 0.005). Linear regression indicated a correlation between the lateralized motor score from the clinically most affected side and R(2)* values from the opposite lateral SNc (p = 0.01). CONCLUSIONS: High field strength MRI demonstrates lateral substantia nigra pars compacta abnormalities in early Parkinson disease (PD) consistent with increased iron content and corresponding to the known distribution of neuronal loss occurring in this disorder. This may ultimately provide an imaging marker for disease progression in PD, although longitudinal studies are required.",
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                    "lastName": "Pruessmann"
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                {
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                    "firstName": "M",
                    "lastName": "Weiger"
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            "abstractNote": "New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementary to Fourier preparation by linear field gradients. Thus, by using multiple receiver coils in parallel scan time in Fourier imaging can be considerably reduced. The problem of image reconstruction from sensitivity encoded data is formulated in a general fashion and solved for arbitrary coil configurations and k-space sampling patterns. Special attention is given to the currently most practical case, namely, sampling a common Cartesian grid with reduced density. For this case the feasibility of the proposed methods was verified both in vitro and in vivo. Scan time was reduced to one-half using a two-coil array in brain imaging. With an array of five coils double-oblique heart images were obtained in one-third of conventional scan time. Magn Reson Med 42:952-962, 1999.",
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            "pages": "952-62",
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            "title": "The correlation between phase shifts in gradient-echo MR images and regional brain iron concentration",
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                    "firstName": "R J",
                    "lastName": "Ogg"
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                    "firstName": "J W",
                    "lastName": "Langston"
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                    "firstName": "E M",
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                    "firstName": "R G",
                    "lastName": "Steen"
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                    "firstName": "J S",
                    "lastName": "Taylor"
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            ],
            "abstractNote": "The purpose of this study was to investigate the relationship between the magnetic susceptibility of brain tissue and iron concentration. Phase shifts in gradient-echo images (TE = 60 ms) were measured in 21 human subjects, (age 0.7-45 years) and compared with published values of regional brain iron concentration. Phase was correlated with brain iron concentration in putamen (R2 = 0.76), caudate (0.72), motor cortex (0.68), globus pallidus (0.59) (all p < 0.001), and frontal cortex (R2 = 0.19, p = 0.05), but not in white matter (R2 = 0.05,p = 0.34). The slope of the regression (degrees/mg iron/g tissue wet weight) varied over a narrow range from -1.2 in the globus pallidus and frontal cortex to -2.1 in the caudate. These results suggest that magnetic resonance phase reflects iron-induced differences in brain tissue susceptibility in gray matter. The lack of correlation in white matter may reflect important differences between gray and white matter in the cellular distribution and the metabolic functions of iron. Magnetic resonance phase images provide insight into the magnetic state of brain tissue and may prove to be useful in elucidating the relationship between brain iron and tissue relaxation properties.",
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            "pages": "1141-8",
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            "tags": [
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                    "tag": "Adolescent",
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            "title": "High-field MRI of brain cortical substructure based on signal phase",
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                    "firstName": "Jeff H",
                    "lastName": "Duyn"
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                    "lastName": "van Gelderen"
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                    "firstName": "Tie-Qiang",
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                {
                    "creatorType": "author",
                    "firstName": "Jacco A",
                    "lastName": "de Zwart"
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                {
                    "creatorType": "author",
                    "firstName": "Alan P",
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                    "firstName": "Masaki",
                    "lastName": "Fukunaga"
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            ],
            "abstractNote": "The ability to detect brain anatomy and pathophysiology with MRI is limited by the contrast-to-noise ratio (CNR), which depends on the contrast mechanism used and the spatial resolution. In this work, we show that in MRI of the human brain, large improvements in contrast to noise in high-resolution images are possible by exploiting the MRI signal phase at high magnetic field strength. Using gradient-echo MRI at 7.0 tesla and a multichannel detector, a nominal voxel size of 0.24 x 0.24 x 1.0 mm3 (58 nl) was achieved. At this resolution, a strong phase contrast was observed both between as well as within gray matter (GM) and white matter (WM). In gradient-echo phase images obtained on normal volunteers at this high resolution, the CNR between GM and WM ranged from 3:1 to 20:1 over the cortex. This CNR is an almost 10-fold improvement over conventional MRI techniques that do not use image phase, and it is an approximately 100-fold improvement when including the gains in resolution from high-field and multichannel detection. Within WM, phase contrast appeared to be associated with the major fiber bundles, whereas contrast within GM was suggestive of the underlying layer structure. The observed phase contrast is attributed to local variations in magnetic susceptibility, which, at least in part, appeared to originate from iron stores. The ability to detect cortical substructure from MRI phase contrast at high field is expected to greatly enhance the study of human brain anatomy in vivo.",
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            "abstractNote": "T(2)* relaxometry for quantitative MR imaging is strongly hampered by large-scale field inhomogeneities, which lead to signal losses and an overestimation of the relaxation rate R(2)*. This is of particular importance for the sensitive detection of iron oxide contrast agent distributions. To derive an accurate measurement of T(2)*, a main field inhomogeneity correction is applied: the main field inhomogeneity is derived from multislice T(2)* relaxometry data and used as an initial value for an iterative optimization, by which the relaxation signal is corrected for each voxel. These corrected T(2)* maps show reduced influence of the local field variation and contain information about the local SPIO concentration. The method was tested on phantoms and the limit of detection of SPIO labeled cells using T(2)* relaxometry was estimated in volunteers to be 120 x 10(3) cells/mL (2.4 microg Fe/mL) in the brain and 385 x 10(3) cells/mL (8 microg Fe/mL) in the liver.",
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            "abstractNote": "Magnetic detection of complex images in magnetic resonance imaging (MRI) is immune to the effects of incidental phase variations, although in some applications information is lost or images are degraded. It is suggested that synchronous detection or demodulation can be used in MRI systems in place of magnitude detection to provide complete suppression of undesired quadrature components, to preserve polarity and phase information, and to eliminate the biases and reduction in signal-to-noise ratio (SNR) and contrast in low SNR images. The incidental phase variations in an image are removed through the use of a homodyne demodulation reference, which is derived from the image or the object itself. Synchronous homodyne detection has been applied to the detection of low SNR images, the reconstruction of partial k-space images, the simultaneous detection of water and lipid signals in quadrature, and the preservation of polarity in inversion-recovery images.",
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            "abstractNote": "Background static magnetic field gradients are a source of signal loss in gradient-echo imaging, as they typically result from discontinuity in the magnetic susceptibility at air-tissue boundaries. Moreover, these induced gradients severely compromise the measurement of R*(2), the effective transverse relaxation rate, which is of interest in many biomedical applications of MRI. Since the slice thickness is usually larger than the in-plane pixel dimensions, gradients parallel to the slice-select direction are of particular concern. In this work, a post-processing technique is introduced which attempts to correct the signal on the assumption that the background gradients are approximately linear across the voxel and the signal decay in the absence of these gradients is exponential. In this case, the time-domain signal is weighted by a sinc function characterized by the amplitude G(b) of the background gradient, which is typically not known a priori. The algorithm searches for the estimate of G(b) which yields the optimum fit of the corrected experimental data to an exponential. It is shown to be effective as long as this gradient is below a critical threshold. Evaluation in a phantom and in the human brain at 1.5 and 4 T demonstrates that this method can restore R(2)* in spite of the apparent rate constant exceeding the true value by up to 100%. Contrary to prospective correction techniques, the approach presented in this study does not prolong scan time.",
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