Validation of Rapid Magnetic Resonance Myelin Imaging in Multiple Sclerosis

Russell Ouellette; Gabriel Mangeat; Ildiko Polyak; Marcel Warntjes; Yngve Forslin; Åsa Bergendal; Michael Plattén; Martin Uppman; Constantina Andrada Treaba; Julien Cohen‐Adad; Fredrik Piehl; Maria Kristoffersen Wiberg; Sten Fredrikson; Caterina Mainero; Tobias Granberg

doi:10.1002/ana.25705

Validation of Rapid Magnetic Resonance Myelin Imaging in Multiple Sclerosis

Annals of Neurology ◽

10.1002/ana.25705 ◽

2020 ◽

Vol 87 (5) ◽

pp. 710-724 ◽

Cited By ~ 3

Author(s):

Russell Ouellette ◽

Gabriel Mangeat ◽

Ildiko Polyak ◽

Marcel Warntjes ◽

Yngve Forslin ◽

...

Keyword(s):

Multiple Sclerosis ◽

Magnetic Resonance ◽

Myelin Imaging

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Clinical and histological validation of rapid magnetic resonance myelin imaging in multiple sclerosis

10.26226/morressier.5b7578635aff7400151f38d2 ◽

2018 ◽

Author(s):

Russell Ouellette ◽

Tobias Granberg

Keyword(s):

Multiple Sclerosis ◽

Magnetic Resonance ◽

Myelin Imaging ◽

Histological Validation

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Quantitative In Vivo Magnetic Resonance Imaging of Multiple Sclerosis at 7 Tesla with Sensitivity to Iron

Yearbook of Neurology and Neurosurgery ◽

10.1016/s0513-5117(09)79019-2 ◽

2009 ◽

Vol 2009 ◽

pp. 110-112

Author(s):

A.M. McKinney

Keyword(s):

Magnetic Resonance Imaging ◽

Multiple Sclerosis ◽

Magnetic Resonance ◽

7 Tesla ◽

Resonance Imaging

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A deep-learning method for tissue volumetry from multi-spectral magnetic resonance imaging in multiple sclerosis

10.26226/morressier.59a3e8b5d462b8028d894cfa ◽

2017 ◽

Author(s):

Richard McKinley

Keyword(s):

Magnetic Resonance Imaging ◽

Multiple Sclerosis ◽

Deep Learning ◽

Magnetic Resonance ◽

Learning Method ◽

Resonance Imaging

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Epilepsy in multiple sclerosis (MS): clinical, electroencephalographic (EEG) and magnetic resonance imaging (MRI) characteristics

10.26226/morressier.59a3e8b4d462b8028d8944d9 ◽

2017 ◽

Author(s):

Liudmila Averianova

Keyword(s):

Magnetic Resonance Imaging ◽

Multiple Sclerosis ◽

Magnetic Resonance ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Mri ◽

Mri Characteristics

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Magnetic resonance imaging parameters as predictors of physical and cognitive changes over the course of 8 years in patients with relapsing forms of multiple sclerosis

10.26226/morressier.5b75785e5aff7400151f399b ◽

2018 ◽

Author(s):

Douglas Jeffery ◽

Holly Hunter

Keyword(s):

Magnetic Resonance Imaging ◽

Multiple Sclerosis ◽

Magnetic Resonance ◽

Resonance Imaging ◽

Cognitive Changes ◽

Imaging Parameters

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ARTIFICIAL INTELLIGENCE APPLIED ON CONVENTIONAL MAGNETIC RESONANCE IMAGES IMPROVES THE CORRECT DIAGNOSIS OF CNS DISEASES MIMICKING MULTIPLE SCLEROSIS

10.26226/morressier.5e8335ba7cb08a046ef7c652 ◽

2020 ◽

Author(s):

Nicoletta Anzalone

Keyword(s):

Artificial Intelligence ◽

Multiple Sclerosis ◽

Magnetic Resonance ◽

Correct Diagnosis ◽

Magnetic Resonance Images ◽

Cns Diseases ◽

Conventional Magnetic Resonance

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Understanding Magnetic Resonance Imaging in Multiple Sclerosis

Case Medical Research ◽

10.31525/ct1-nct03872583 ◽

2019 ◽

Author(s):

Keyword(s):

Magnetic Resonance Imaging ◽

Multiple Sclerosis ◽

Magnetic Resonance ◽

Resonance Imaging

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Faculty Opinions recommendation of Magnetic resonance imaging of labeled T-cells in a mouse model of multiple sclerosis.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1020421.232636 ◽

2004 ◽

Author(s):

Angela Vincent

Keyword(s):

Magnetic Resonance Imaging ◽

Multiple Sclerosis ◽

T Cells ◽

Magnetic Resonance ◽

Mouse Model ◽

Resonance Imaging

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Faculty Opinions recommendation of A 3-year magnetic resonance imaging study of cortical lesions in relapse-onset multiple sclerosis.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.2951961.2622062 ◽

2010 ◽

Author(s):

Franz Fazekas ◽

Christian Enzinger

Keyword(s):

Magnetic Resonance Imaging ◽

Multiple Sclerosis ◽

Magnetic Resonance ◽

Imaging Study ◽

Cortical Lesions ◽

Magnetic Resonance Imaging Study ◽

Resonance Imaging

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Faculty Opinions recommendation of Radiologically isolated syndrome--incidental magnetic resonance imaging findings suggestive of multiple sclerosis, a systematic review.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.717984800.793477731 ◽

2013 ◽

Author(s):

Jeremy Chataway

Keyword(s):

Magnetic Resonance Imaging ◽

Multiple Sclerosis ◽

Systematic Review ◽

Magnetic Resonance ◽

Imaging Findings ◽

Resonance Imaging ◽

Radiologically Isolated Syndrome

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