NeuroImage · 2020 · 97 citations · 49 references
MedicineNeurologyNeuroscienceDementiaDiagnostic RadiologyNeuroanatomyBrain ImagingMagnetic Resonance Imaging PhysicsNeurodegenerative DiseasesNeurodegenerative DisordersNeuroimaging In DementiaParkinson DiseaseAtlas GenerationImage Co-registrationLocus Coeruleus CircuitsNeuroimaging In Parkinson's DiseaseParkinson Disease ImagingStructural Magnetic Resonance Imaging MarkersStructural MriUltra-high-field Magnetic Resonance Imaging
Early and profound pathological changes are evident in the locus coeruleus (LC) in dementia and Parkinson's disease, with effects on arousal, attention, cognitive and motor control. The LC can be identified in vivo using non-invasive magnetic resonance imaging techniques which have potential as biomarkers for detecting and monitoring disease progression. Technical limitations of existing imaging protocols have impaired the sensitivity to regional contrast variance or the spatial variability on the rostrocaudal extent of the LC, with spatial mapping consistent with post mortem findings. The current study employs a sensitive magnetisation transfer sequence using ultrahigh field 7T MRI to investigate the LC structure in vivo at high-resolution (0.4 × 0.4 × 0.5 mm). Magnetisation transfer images from 53 healthy older volunteers (52 - 84 years) clearly revealed the spatial features of the LC and were used to create a probabilistic LC atlas for older adults. This atlas may be especially relevant for studying disorders associated with older age. To use the atlas does not require use of the same MT sequence of 7T MRI, provided good co-registration and normalisation is achieved. Consistent rostrocaudal gradients of slice-wise volume, contrast and variance along the LC were observed, mirroring distinctive ex vivo spatial distributions of LC cells in its subregions. The contrast-to-noise ratios were calculated for the peak voxels, and for the averaged signals within the atlas, to accommodate the volumetric differences in estimated contrast. The probabilistic atlas is freely available, and the MRI dataset will be made available for non-commercial research, for replication or to facilitate accurate LC localisation and unbiased contrast extraction in future studies.
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N4ITK: Improved N3 Bias Correction
Nicholas J. Tustison, Brian Avants, Philip A. Cook et al. · IEEE Transactions on Medical Imaging · 2010 · 6.4K citations
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Unbiased average age-appropriate atlases for pediatric studies
Vladimir Fonov, Alan C. Evans, Kelly N. Botteron et al. · NeuroImage · 2010 · 2.5K citations · Full text
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