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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
Dette papir beskriver en statistisk model for volumetriske MRI dataanalyse, som identificerer "change-point" når hjernen atrofi begynder i premanifeste Huntington's chorea. Hele-brain mapping change-point er opnået baseret på hjernen diskenheder fremstillet ved hjælp af en atlas-baserede segmentering pipeline af T1-vægtede billeder.
