Brain Segmentation From Computed Tomography of Healthy Aging and Geriatric Concussion at Variable Spatial Resolutions

Brain Segmentation From Computed Tomography of Healthy Aging and Geriatric Concussion at Variable Spatial Resolutions

When properly implemented and processed, anatomic T1-weighted magnetic resonance imaging (MRI) can be ideal for the noninvasive quantification of white matter (WM) and gray matter (GM) in the living human brain. Although MRI is more suitable for distinguishing GM from WM than computed tomography (CT...

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Bibliographic Details
Main Authors: Andrei Irimia, Alexander S. Maher, Kenneth A. Rostowsky, Nahian F. Chowdhury, Darryl H. Hwang, E. Meng Law
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-03-01
Series:Frontiers in Neuroinformatics
Subjects:
segmentation
tissue classification
computed tomography
multimodal imaging
concussion
geriatrics
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2019.00009/full

Internet

https://www.frontiersin.org/article/10.3389/fninf.2019.00009/full

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