Quantitative high-field imaging of sub-cortical gray matter in multiple sclerosis

Lebel, R. Marc; Eissa, Amir; Seres, Peter; Blevins, Gregg; Wilman, Alan H.

doi:10.1177/1352458511428464

Cited by 49 publications

(55 citation statements)

References 38 publications

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“…This suggests that the local B 0 field reflects underlying architecture and complements the anatomic information from water peak height images, which is consistent with previously published studies performed using T 2 * -weighted images, phase sensitive images, and susceptibility weighted imaging (SWI). [14][15][16][17][18][19][20][21] Interestingly, Figs. 4(e) and 4(f) show a relative frequency inversion and frequency convergence between the labeled layers, respectively (the unlabeled single and double headed line arrows), that corresponds to a change in orientation of the axons in the granular cell layer; specifically, the axons become oriented perpendicular to B 0 .…”

Section: Discussionmentioning

confidence: 99%

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3D high spectral and spatial resolution imaging of ex vivo mouse brain

et al. 2015

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Purpose: Widely used MRI methods show brain morphology both in vivo and ex vivo at very high resolution. Many of these methods (e.g., T 2 * -weighted imaging, phase-sensitive imaging, or susceptibility-weighted imaging) are sensitive to local magnetic susceptibility gradients produced by subtle variations in tissue composition. However, the spectral resolution of commonly used methods is limited to maintain reasonable run-time combined with very high spatial resolution. Here, the authors report on data acquisition at increased spectral resolution, with 3-dimensional high spectral and spatial resolution MRI, in order to analyze subtle variations in water proton resonance frequency and lineshape that reflect local anatomy. The resulting information compliments previous studies based on T 2 * and resonance frequency. Methods: The proton free induction decay was sampled at high resolution and Fourier transformed to produce a high-resolution water spectrum for each image voxel in a 3D volume. Data were acquired using a multigradient echo pulse sequence (i.e., echo-planar spectroscopic imaging) with a spatial resolution of 50 × 50 × 70 µm 3 and spectral resolution of 3.5 Hz. Data were analyzed in the spectral domain, and images were produced from the various Fourier components of the water resonance. This allowed precise measurement of local variations in water resonance frequency and lineshape, at the expense of significantly increased run time (16-24 h). Results: High contrast T 2 * -weighted images were produced from the peak of the water resonance (peak height image), revealing a high degree of anatomical detail, specifically in the hippocampus and cerebellum. In images produced from Fourier components of the water resonance at −7.0 Hz from the peak, the contrast between deep white matter tracts and the surrounding tissue is the reverse of the contrast in water peak height images. This indicates the presence of a shoulder in the water resonance that is not present at +7.0 Hz and may be specific to white matter anatomy. Moreover, a frequency shift of 6.76 ± 0.55 Hz was measured between the molecular and granular layers of the cerebellum. This shift is demonstrated in corresponding spectra; water peaks from voxels in the molecular and granular layers are consistently 2 bins apart (7.0 Hz, as dictated by the spectral resolution) from one another. Conclusions: High spectral and spatial resolution MR imaging has the potential to accurately measure the changes in the water resonance in small voxels. This information can guide optimization and interpretation of more commonly used, more rapid imaging methods that depend on image contrast produced by local susceptibility gradients. In addition, with improved sampling methods, high spectral and spatial resolution data could be acquired in reasonable run times, and used for in vivo scans to increase sensitivity to variations in local susceptibility. C 2015 American Association of Physicists in Medicine. [http://dx

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Section: Discussionmentioning

confidence: 99%

“…Extensions of T 2 * -weighting, often referred to as "phase sensitive" imaging or "susceptibility-weighted imaging," have further increased sensitivity to local susceptibility gradients, thereby providing exceptional anatomic detail. [14][15][16][17][18][19][20][21] Such methods are often used for both in vivo and ex vivo imaging.…”

Section: Introductionmentioning

confidence: 99%

3D high spectral and spatial resolution imaging of ex vivo mouse brain

et al. 2015

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“…Our work confirms a difference in the pulvinar region versus the whole thalamus in normal subjects. Clinicians need to be aware that these changes are easily visualized at 3T on FLAIR images and do not necessarily indicate the presence of pulvinar abnormality in MS, MSA-P and IPD [4][5][6][7][8] . When evaluating the thalamus or the posterior thalamus for R2 or R2* signal changes, researchers should be cognizant of this difference.…”

Section: Discussionmentioning

confidence: 99%

“…Patients with Fabry disease also have been found to have slightly decreased pulvinar signal intensity on T2-weighted images 2,3 . Recently a number of reports have been published describing signal loss in the pulvinar with susceptibility weighted images utilizing phase and magnitude data in subjects with multiple sclerosis (MS), multiple system atrophy with predominant parkinsonism (MSA-P) and idiopathic Parkinson disease (IPD) [4][5][6][7][8] . In our routine practice, however, fluid attenuated inversion recovery (FLAIR) images of the brain at 3T frequently show hypointensity in the most posterior region of the thalamus that is equivalent to the pulvinar region.…”

Section: Introductionmentioning

confidence: 99%

Effects of Age, Gender and Hemispheric Location on T2 Hypointensity in the Pulvinar at 3T

et al. 2014

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“…There has been the potential for improved lesion detection in white and cortical gray matter [de Graaf et al 2012;Mistry et al 2011;Nielsen et al 2012], deep gray matter pathology [Lebel et al 2012] and unusual imaging features of white matter lesions with persistent ring phase white matter lesions [Bian et al 2012] all potentially provide additional insight in the pathology of MS, where clinical application may be still far out.…”

Section: Advances In Mri In Demyelinating Diseasementioning

confidence: 99%

Neuroradiological evaluation of demyelinating disease

Tillema

Pirko

2013

Ther Adv Neurol Disord

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Central nervous system inflammatory demyelinating disease can affect patients across the life span. Consensus definitions and criteria of all of the different acquired demyelinating diseases that fall on this spectrum have magnetic resonance imaging criteria. The advances of both neuroimaging techniques and important discoveries in immunology have produced an improved understanding of these conditions and classification. Neuroimaging plays a central role in the accurate diagnosis, prognosis, disease monitoring and research efforts that are being undertaken in this disease. This review focuses on the imaging spectrum of acquired demyelinating disease.

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Quantitative high-field imaging of sub-cortical gray matter in multiple sclerosis

Abstract: Widespread abnormalities are present in the deep gray matter nuclei of patients recently diagnosed with MS; these abnormalities can be detected via multi-modal high-field MRI. Imaging metrics, particularly R₂*, relate to disease severity in the pulvinar and other gray matter regions.

Cited by 49 publications

References 38 publications

3D high spectral and spatial resolution imaging of ex vivo mouse brain

3D high spectral and spatial resolution imaging of ex vivo mouse brain

Effects of Age, Gender and Hemispheric Location on T2 Hypointensity in the Pulvinar at 3T

Neuroradiological evaluation of demyelinating disease

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