Multisite MRI reproducibility of lateral ventricular volume using the NAIMS cooperative pilot dataset
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P. Calabresi | R. Bakshi | M. Dwyer | R. Zivadinov | D. Pelletier | R. Shinohara | D. Jakimovski | N. Bergsland | N. Papinutto | Jiwon Oh | M. Martin | M. Martin | M. Martin
[1] Jörg Felder,et al. The traveling heads 2.0: Multicenter reproducibility of quantitative imaging methods at 7 Tesla , 2021, NeuroImage.
[2] D. Ramasamy,et al. Clinical feasibility of longitudinal lateral ventricular volume measurements on T2-FLAIR across MRI scanner changes , 2021, NeuroImage: Clinical.
[3] F. Barkhof,et al. FLAIR-only joint volumetric analysis of brain lesions and atrophy in clinically isolated syndrome (CIS) suggestive of multiple sclerosis , 2020, NeuroImage: Clinical.
[4] F. Barkhof,et al. Cortical atrophy accelerates as cognitive decline worsens in multiple sclerosis , 2019, Neurology.
[5] P. Matthews,et al. Towards a standard MRI protocol for multiple sclerosis across the UK. , 2019, The British journal of radiology.
[6] Eva Kubala Havrdova,et al. Pathological cut-offs of global and regional brain volume loss in multiple sclerosis , 2019, Multiple sclerosis.
[7] Nico Papinutto,et al. Multisite reliability and repeatability of an advanced brain MRI protocol , 2019, Journal of magnetic resonance imaging : JMRI.
[8] Nico Papinutto,et al. The NAIMS cooperative pilot project: Design, implementation and future directions , 2018, Multiple sclerosis.
[9] Stephen E. Jones,et al. Cortical neuronal densities and cerebral white matter demyelination in multiple sclerosis: a retrospective study , 2018, The Lancet Neurology.
[10] Roland Opfer,et al. Within-patient fluctuation of brain volume estimates from short-term repeated MRI measurements using SIENA/FSL , 2018, Journal of Neurology.
[11] D. Reich,et al. Gradient nonlinearity effects on upper cervical spinal cord area measurement from 3D T1‐weighted brain MRI acquisitions , 2018, Magnetic resonance in medicine.
[12] M. Dwyer,et al. Establishing pathological cut-offs for lateral ventricular volume expansion rates , 2018, NeuroImage: Clinical.
[13] M. Dwyer,et al. Feasibility of Brain Atrophy Measurement in Clinical Routine without Prior Standardization of the MRI Protocol: Results from MS-MRIUS, a Longitudinal Observational, Multicenter Real-World Outcome Study in Patients with Relapsing-Remitting MS , 2017, American Journal of Neuroradiology.
[14] D. Reich,et al. Volumetric Analysis from a Harmonized Multisite Brain MRI Study of a Single Subject with Multiple Sclerosis , 2017, American Journal of Neuroradiology.
[15] D. Ramasamy,et al. Neurological software tool for reliable atrophy measurement (NeuroSTREAM) of the lateral ventricles on clinical-quality T2-FLAIR MRI scans in multiple sclerosis , 2017, NeuroImage: Clinical.
[16] R. Benedict,et al. Clinical relevance of brain atrophy assessment in multiple sclerosis. Implications for its use in a clinical routine , 2016, Expert review of neurotherapeutics.
[17] Wolfgang Bogner,et al. The traveling heads: multicenter brain imaging at 7 Tesla , 2016, Magnetic Resonance Materials in Physics, Biology and Medicine.
[18] D. Reich,et al. Revised Recommendations of the Consortium of MS Centers Task Force for a Standardized MRI Protocol and Clinical Guidelines for the Diagnosis and Follow-Up of Multiple Sclerosis , 2016, American Journal of Neuroradiology.
[19] D. Ramasamy,et al. A serial 10-year follow-up study of brain atrophy and disability progression in RRMS patients , 2016, Multiple sclerosis.
[20] F. Barkhof,et al. Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis—establishing disease prognosis and monitoring patients , 2015, Nature Reviews Neurology.
[21] M. Battaglini,et al. Establishing pathological cut-offs of brain atrophy rates in multiple sclerosis , 2015, Journal of Neurology, Neurosurgery & Psychiatry.
[22] Arno Klein,et al. Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements , 2014, NeuroImage.
[23] Robert Zivadinov,et al. MRI correlates of disability progression in patients with CIS over 48 months , 2014, NeuroImage: Clinical.
[24] Turi O. Dalaker,et al. Brain atrophy and disability progression in multiple sclerosis patients: a 10-year follow-up study , 2014, Journal of Neurology, Neurosurgery & Psychiatry.
[25] D. Collins,et al. Jacobian integration method increases the statistical power to measure gray matter atrophy in multiple sclerosis☆ , 2013, NeuroImage: Clinical.
[26] Mark Jenkinson,et al. The effect of hypointense white matter lesions on automated gray matter segmentation in multiple sclerosis , 2012, Human brain mapping.
[27] John Suckling,et al. Assessment of the impact of the scanner-related factors on brain morphometry analysis with Brainvisa , 2011, BMC Medical Imaging.
[28] Mehul P. Sampat,et al. Disease modeling in multiple sclerosis: Assessment and quantification of sources of variability in brain parenchymal fraction measurements , 2010, NeuroImage.
[29] Wiro J. Niessen,et al. Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods , 2010, NeuroImage.
[30] Brian B. Avants,et al. N4ITK: Improved N3 Bias Correction , 2010, IEEE Transactions on Medical Imaging.
[31] Jessica A. Turner,et al. Impact of scanner hardware and imaging protocol on image quality and compartment volume precision in the ADNI cohort , 2010, NeuroImage.
[32] D. Louis Collins,et al. Gradient distortions in MRI: Characterizing and correcting for their effects on SIENA-generated measures of brain volume change , 2010, NeuroImage.
[33] Anders M. Dale,et al. Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data , 2006, NeuroImage.
[34] Rand R. Wilcox,et al. Trimming and Winsorization , 2005 .
[35] Frederik Barkhof,et al. Cortical atrophy patterns in multiple sclerosis are non-random and clinically relevant. , 2016, Brain : a journal of neurology.
[36] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[37] W. L. Benedict,et al. Multiple Sclerosis , 2007, Journal - Michigan State Medical Society.