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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
Dieses Whitepaper beschreibt ein statistisches Modell für Volumetrische MRI-Daten-Analyse, die "Wechselpunkt" identifiziert, wenn Hirnatrophie im Premanifest Chorea Huntington beginnt. Ganz-Brain Mapping von die wechselpunkte erfolgt basierend auf Gehirn Volumen mit einer Atlas-basierte Segmentierung-Pipeline von T1-gewichteten Bildern erzielt.
