Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

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12.1K Views

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09:06 min

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June 9th, 2018

DOI :

10.3791/57256-v

June 9th, 2018

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Dan Wu¹, Andreia V. Faria¹, Laurent Younes²^,³^,⁴, Christopher A. Ross⁵, Susumu Mori¹^,⁶, Michael I. Miller²^,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

Podsumowanie

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Keywords Brain MRI

Whole brain Segmentation

Change point Analysis

Huntington s Disease

Neurodegenerative Disease

Volumetric Analysis

MRICloud

MultiAtlas based Segmentation

Quantitative Analysis

Brain Atrophy

Rozdziały w tym wideo

0:04

Title

1:22

Atlas-based Whole Brain Segmentation

5:01

Change-point Analysis of Volumentric Data

6:35

Results: Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI

7:50

Conclusion

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