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Segmentazione del intero-cervello e analisi del punto di svolta di anatomico del cervello MRI — applicazione in premanifesti sulla malattia di Huntington

Article DOI: 10.3791/57256-v • 09:06 min • June 9th, 2018
June 9th, 2018 •
1, 1, 2,3,4, 5, 1,6, 2,3,7
1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 2Center for Imaging Science, Johns Hopkins University, 3Institute for Computational Medicine, Johns Hopkins University, 4Department of Applied Mathematics and Statistics, Johns Hopkins University, 5Division of Neurobiology, Departments of Psychiatry, Neurology, Neuroscience and Pharmacology, and Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, 6F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, 7Department of Biomedical Engineering, Johns Hopkins University

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Questo articolo descrive un modello statistico per analisi di dati di MRI volumetrica, che identifica il "punto di svolta" quando l'atrofia del cervello inizia in pre malattia di Huntington. Intero-cervello mapping dei punti di cambiamento viene realizzato sulla base dei volumi di cervello ottenute tramite una pipeline di segmentazione basata su Atlante delle immagini di T1-weighted.

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Medicina problema 136 punto di svolta Atlante MRI segmentazione granularità MRICloud premanifest HD
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