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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
Chapters
- 00:04Title
- 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
Este papel describe un modelo estadístico para el análisis de datos volumétrico MRI, que identifica el "punto de cambio" cuando la atrofia del cerebro comienza en presintomáticos la enfermedad de Huntington. Mapeo cerebral de conjunto de los puntos de cambio se logra basado en volúmenes cerebrales obtenidos mediante una tubería de segmentación basada en el atlas de imágenes de T1-weighted.
