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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
Capítulos
- 00:04Título
- 01:22Atlas-based Whole Brain Segmentation
- 05:01Change-point Analysis of Volumentric Data
- 06:35Results: Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI
- 07:50Conclusion
Cet article décrit un modèle statistique pour l’analyse de données de MRI volumétrique, qui identifie le point « changement » lors de l’atrophie cérébrale commence en premanifest la maladie de Huntington. Ensemble-cerveau cartographie des changements-points est atteint basée sur les volumes de cerveau obtenues à l’aide d’un pipeline de segmentation basée sur atlas d’images pondérées en T1.
